{
  "data": {
    "a": {
      "slug": "muse-spark-open",
      "name": "Muse Spark Open",
      "vendor": "Meta",
      "vendorUrl": "https://dev.meta.ai/models/muse-spark-open",
      "kind": "model",
      "category": "inference",
      "summary": "Muse Spark Open is Meta's open-weight multimodal model for coding and agentic work, with 816B total and 42B active parameters and a 1M-token context, released on 15 October 2026 under the Muse Model Licence for self-hosting.",
      "url": "https://www.anchorterminal.com/tools/muse-spark-open",
      "markdownUrl": "https://www.anchorterminal.com/tools/muse-spark-open.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/muse-spark-open.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/muse-spark-open.json",
      "repo": "https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B",
      "license": "Muse Model Licence (source-available weights, not an OSI licence), free of charge with an attribution notice, a separate agreement with Meta before Model as a Service by a licensee group above $20M gross revenue, and the Muse Spark Open Usage Policy",
      "transports": [
        "http"
      ],
      "packages": [],
      "auth": "none",
      "authNotes": "Running the model needs no account or key. Getting Meta's weights does. Both Hugging Face repositories (BF16 and NVFP4) are gated with manual review and ask for full legal name, date of birth, country, affiliation and job title, and downloads then use a Hugging Face access token. The GGUF quantisations from ggml-org and Unsloth that Meta's docs point to are not gated. A local server has whatever authentication the owner adds, such as llama.cpp's `--api-key`.",
      "pricing": "free",
      "pricingNotes": "Free to download and run under the Muse Model Licence, with the owner's GPUs as the cost. A licensee whose group has more than $20M gross revenue in any 12 months must notify Meta and sign a separate agreement before offering it as Model as a Service. Hosted copies cost $1.25 input, $0.15 cached input and $4.25 output per million tokens on Fireworks, Baseten, Modal and OpenRouter (checked 2026-10-15). Meta Model API does not serve it.",
      "priceSummary": "Free",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. Muse Spark Open is a model the owner runs, with no payment route from Meta, and Meta Model API does not serve it (checked 2026-10-15).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-15"
      },
      "docsUrl": "https://dev.meta.ai/docs/muse-spark-open",
      "llmsTxt": "https://dev.meta.ai/llms.txt",
      "capabilities": [
        "inference.llm",
        "inference.open-weights",
        "inference.local"
      ],
      "tags": [
        "model",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "gated",
        "multimodal",
        "openai-compatible",
        "llms-txt",
        "gpu",
        "new"
      ],
      "lastRelease": "2026-10-15",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 53.4,
        "grade": "D",
        "agentReady": false,
        "rank": 802,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 22,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 69,
          "maintenance": 60,
          "payments": 50,
          "reliability": 42,
          "schema": 61,
          "security": 44,
          "transparency": 53
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-15"
        },
        "negative": 0,
        "verdict": "Muse Spark Open runs on the owner's hardware in seven runtimes, with OpenAI-compatible servers in vLLM and SGLang, standard tool calls, a 1M-token context and Meta's own serving docs. Serving the 537 GB NVFP4 checkpoint takes four B300 GPUs, Meta's download is gated by manual review, and the licence adds attribution and a revenue threshold for model resellers.",
        "bestFor": "A team with a four-GPU Blackwell node, or two to four Mac Studios, that wants a 1M-token multimodal coding and agent model on its own hardware with no prompts leaving it.",
        "strengths": [
          "816B total and 42B active parameters with a 1,048,576-token context, taking text, image, video and audio input",
          "Day-one support in vLLM, SGLang, TensorRT-LLM, Transformers, llama.cpp, MLX and Unsloth, with commands for each in Meta's docs",
          "With the `muse` parsers, reasoning comes back in its own field and tool calls as a standard `tool_calls` array",
          "The licence grants use, fine-tuning, distillation and resale free of charge, with no user cap and no regional exclusion",
          "llms.txt and Markdown docs cover checkpoints, prompting, stop tokens, recommended settings and post-training"
        ],
        "weaknesses": [
          "The NVFP4 checkpoint (about 537 GB) serves on four B300 GPUs and the BF16 one (about 1.65 TB) on eight",
          "Meta's Hugging Face repositories need manual approval with legal name and date of birth, which the Get the model page doesn't mention",
          "Products must display \"Built with Muse Spark Open\", and a company group with over $20M revenue needs Meta's agreement to offer it as Model as a Service",
          "The Usage Policy rules out military, nuclear, espionage, critical infrastructure and heavy machinery uses, and users under 18",
          "Released on 15 October 2026, with no changelog, deprecation policy or CI found, and the full evaluation report not yet published"
        ],
        "agentNotes": [
          "Start vLLM or SGLang with `--reasoning-parser muse --tool-call-parser muse` (vLLM also `--enable-auto-tool-choice`), or tool calls come back as raw text",
          "Set `reasoning_effort` to `low` or `medium` for short tasks. The default is `xhigh`, reasoning can't be turned off, and other values return an error",
          "Stop only on `\u003c|eot|\u003e` and end of text. Stopping on `\u003c|eom|\u003e` cuts off tool calls and final answers",
          "Stream long generations and leave `max_tokens` room for reasoning, or `content` can come back empty with `finish_reason` `length`",
          "Don't call Meta Model API for this model. Use a self-hosted server or a hosted provider's model string, such as `meta-models/muse-spark-open`"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 53.4
          }
        ],
        "editorialScores": {
          "ergonomics": 69,
          "maintenance": 60,
          "payments": 50,
          "reliability": 42,
          "schema": 61,
          "security": 44,
          "transparency": 50
        },
        "provenanceScore": 55
      },
      "connect": {
        "install": "hf download meta-models/Muse-Spark-Open-816B-A42B-NVFP4 --local-dir ./muse-spark-open-nvfp4\n\nexport VLLM_USE_RUST_FRONTEND=1\nvllm serve meta-models/Muse-Spark-Open-816B-A42B-NVFP4 \\\n    --tensor-parallel-size 4 \\\n    --enable-expert-parallel \\\n    --max-model-len 1048576 \\\n    --reasoning-parser muse \\\n    --tool-call-parser muse \\\n    --enable-auto-tool-choice",
        "http": "curl http://localhost:8000/v1/chat/completions \\\n  -H 'Content-Type: application/json' \\\n  -d '{\n    \"model\": \"meta-models/Muse-Spark-Open-816B-A42B-NVFP4\",\n    \"messages\": [{\"role\": \"user\", \"content\": \"Refactor this module.\"}],\n    \"reasoning_effort\": \"xhigh\"\n  }'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/muse-spark-open"
      },
      "sameCompany": [
        "meta-model-api",
        "muse-code"
      ],
      "area": "models",
      "provenance": {
        "legalEntity": "Meta Platforms, Inc.",
        "domain": "meta.ai",
        "domainRegistered": "2017-12-16",
        "endpointOnVendorDomain": null,
        "terms": "https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B/blob/main/LICENSE.md",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-15",
        "notes": [
          "The licence names Meta Platforms, Inc. as copyright holder, and defines Meta as Meta Platforms Ireland Limited for licensees in the European region and Meta Platforms, Inc. elsewhere. The model card names the same two as model provider.",
          "The licence is the document that governs use of the weights, so it is recorded as the terms. LICENSE.md matches the text shown on the gated access form word for word. The Usage Policy is its Exhibit A. The separate USE_POLICY.md that Meta's docs link answered 401 without access and wasn't read.",
          "No privacy policy governs the model, because the owner runs it and no input reaches Meta. The access form says its details are handled under the Meta Privacy Policy on www.facebook.com, whose robots.txt asks readers like ours not to fetch it, so it wasn't read.",
          "The domain is meta.ai, where Meta's developer docs (dev.meta.ai) and research post (research.meta.ai) sit, the same as the meta-model-api and muse-code listings. RDAP gives a registration date of 16 December 2017.",
          "No hosted endpoint from Meta, so no status page. No changelog for the model was found, and the Hugging Face commit history needs access to read.",
          "dev.meta.ai/.well-known/security.txt and research.meta.ai/.well-known/security.txt returned 404 on 15 October 2026.",
          "WebFetch read the research post. It refused the Hugging Face model card as outside its allowed set, so the card, LICENSE.md, the repository and collection metadata, the discussions, the evaluation methodology PDF, Meta's docs pages and the providers' model pages were read with curl."
        ],
        "score": 55
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/muse-spark-open.json",
      "live": {
        "slug": "muse-spark-open",
        "securityTxt": {
          "url": "https://meta.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-18T15:54:29.002676333Z"
        },
        "llmsTxt": {
          "url": "https://dev.meta.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-18T14:25:36.663098456Z"
        },
        "domain": {
          "domain": "meta.ai",
          "registered": "2017-12-16",
          "source": "https://rdap.identitydigital.services/rdap/domain/meta.ai",
          "checkedAt": "2026-10-18T13:39:00.851805812Z"
        },
        "pages": [
          {
            "url": "https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B/blob/main/LICENSE.md",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-18T23:31:51.107277175Z",
            "changedAt": "2026-10-18T23:31:51.107277175Z",
            "fingerprint": "e544b54f12af"
          }
        ],
        "updatedAt": "2026-10-18T23:31:51.107277175Z"
      }
    },
    "answer": "Together AI Inference scores 67.8 (B) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 6 of 7 scored categories. Muse Spark Open leads on payments \u0026 pricing.",
    "b": {
      "slug": "together-inference",
      "name": "Together AI Inference",
      "vendor": "Together Computer, Inc.",
      "vendorUrl": "https://www.together.ai",
      "kind": "http-api",
      "category": "inference",
      "summary": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput. Model-dependent capabilities include tool calling, structured outputs and vision.",
      "url": "https://www.anchorterminal.com/tools/together-inference",
      "markdownUrl": "https://www.anchorterminal.com/tools/together-inference.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/together-inference.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/together-inference.json",
      "repo": "https://github.com/togethercomputer/together-py",
      "license": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.together.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "together"
        },
        {
          "registry": "npm",
          "name": "together-ai"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API keys are scoped to projects, can expire and can be revoked separately. A key has full access to resources in its project. There are no per-key spending or rate limits; legacy default-project keys should be replaced.",
      "pricing": "paid",
      "pricingNotes": "Prepaid usage with a $15 minimum first credit purchase, then $5 minimum top-ups. No free trial. GPT OSS 120B is $0.15 per million input tokens and $0.60 per million output tokens. Dedicated hardware and provisioned throughput have separate rates.",
      "priceSummary": "Paid",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 payment route found in the reviewed inference and billing documentation on 19 October 2026.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 10,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://docs.together.ai",
      "llmsTxt": "https://docs.together.ai/llms.txt",
      "openapi": "https://docs.together.ai/openapi.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights"
      ],
      "tags": [
        "official",
        "http-api",
        "inference",
        "api-key",
        "openapi",
        "llms-txt",
        "paid"
      ],
      "lastRelease": "2026-10-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 67.8,
        "grade": "B",
        "agentReady": false,
        "rank": 265,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 10,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 20,
          "reliability": 60,
          "schema": 93,
          "security": 70,
          "transparency": 73
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-19"
        },
        "negative": 0,
        "verdict": "A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.",
        "bestFor": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.",
        "strengths": [
          "Public OpenAPI 3.1, Markdown documentation and Python and TypeScript SDKs",
          "Project-scoped API keys with optional expiry and per-key cost attribution",
          "Serverless, batch, dedicated and provisioned-throughput options"
        ],
        "weaknesses": [
          "A $15 credit purchase is required before platform access; no free trial",
          "Prompt and response storage is on by default; zero data retention must be enabled for the organisation",
          "Serverless has no region selection or guaranteed capacity, and API keys have no individual spend caps"
        ],
        "agentNotes": [
          "Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.",
          "For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.",
          "Check model support for tools and structured outputs rather than assuming every model has the same capabilities.",
          "Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.",
          "Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 67.8
          }
        ],
        "editorialScores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 20,
          "reliability": 60,
          "schema": 93,
          "security": 70,
          "transparency": 65
        },
        "provenanceScore": 81
      },
      "connect": {
        "http": "curl 'https://api.together.ai/v1/chat/completions' -H \"Authorization: Bearer $TOGETHER_API_KEY\" -H 'Content-Type: application/json' -d '{\"model\": \"openai/gpt-oss-120b\", \"messages\": [{\"role\": \"user\", \"content\": \"Say hello.\"}], \"max_tokens\": 128}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/together-inference"
      },
      "sameCompany": [
        "together-fine-tuning",
        "together-code-sandbox"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "GPT OSS 120B input",
          "unit": "1m-tokens",
          "usd": 0.15,
          "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026"
        },
        {
          "item": "GPT OSS 120B output",
          "unit": "1m-tokens",
          "usd": 0.6,
          "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026"
        }
      ],
      "provenance": {
        "legalEntity": "Together Computer, Inc.",
        "domain": "together.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://www.together.ai/terms-of-service",
        "privacy": "https://www.together.ai/privacy",
        "statusPage": "https://status.together.ai",
        "changelog": "https://docs.together.ai/docs/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-19",
        "notes": [
          "Legal identity comes from the vendor policy pages. Domain registration was not checked.",
          "The SDK repository is not the source for the hosted inference service.",
          "security.txt names the HackerOne programme and expires on 30 September 2028."
        ],
        "score": 81
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/together-inference.json",
      "live": {
        "slug": "together-inference",
        "probe": {
          "target": "https://api.together.ai/v1",
          "method": "get",
          "lastAt": "2026-10-19T09:34:48.344416843Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 193,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 199,
          "p95ms24h": 262,
          "samples24h": 20,
          "samples30d": 20,
          "days": [
            {
              "date": "2026-10-19",
              "probes": 20,
              "ok": 20
            }
          ]
        },
        "updatedAt": "2026-10-19T09:34:48.344416843Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Meta",
        "b": "Together Computer, Inc.",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.together.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Paid",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Muse Model Licence (source-available weights, not an OSI licence), free of charge with an attribution notice, a separate agreement with Meta before Model as a Service by a licensee group above $20M gross revenue, and the Muse Spark Open Usage Policy",
        "b": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-15",
        "b": "2026-10-16",
        "name": "Last release"
      },
      {
        "a": "",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "no date given",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "10 stars",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Together AI Inference scores 67.8 (B) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 6 of 7 scored categories. Muse Spark Open leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, Muse Spark Open or Together AI Inference?"
      },
      {
        "answer": "Muse Spark Open needs no key. Together AI Inference needs an API key.",
        "question": "Do Muse Spark Open and Together AI Inference need an API key?"
      },
      {
        "answer": "No hosted endpoint is listed for Muse Spark Open. Together AI Inference has a hosted endpoint at https://api.together.ai/v1.",
        "question": "Can an agent call Muse Spark Open and Together AI Inference without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 50 against 20"
        ],
        "also": [
          "No key needed to call it"
        ],
        "goodFor": "A team with a four-GPU Blackwell node, or two to four Mac Studios, that wants a 1M-token multimodal coding and agent model on its own hardware with no prompts leaving it.",
        "slug": "muse-spark-open",
        "watchFor": "The NVFP4 checkpoint (about 537 GB) serves on four B300 GPUs and the BF16 one (about 1.65 TB) on eight"
      },
      {
        "aheadOn": [
          "Reliability, 60 against 42",
          "Schema \u0026 documentation, 93 against 61",
          "Agent ergonomics, 85 against 69",
          "Security \u0026 auth, 70 against 44",
          "Maintenance \u0026 community, 65 against 60",
          "Transparency \u0026 trust, 73 against 53"
        ],
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.",
        "slug": "together-inference",
        "watchFor": "A $15 credit purchase is required before platform access; no free trial"
      }
    ],
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-muse-spark-open.json",
        "title": "Claude API vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference.json",
        "title": "Claude API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-muse-spark-open.json",
        "title": "Antseed vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-together-inference.json",
        "title": "Antseed vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-spark-open.json",
        "title": "BlockRun.AI vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-together-inference.json",
        "title": "BlockRun.AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-spark-open.json",
        "title": "Cerebras Inference vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference.json",
        "title": "Cerebras Inference vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-muse-spark-open.json",
        "title": "Cloudflare AI Gateway vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-together-inference.json",
        "title": "Cloudflare AI Gateway vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-spark-open.json",
        "title": "Cloudflare Workers AI vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference.json",
        "title": "Cloudflare Workers AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-muse-spark-open.json",
        "title": "Cohere Chat API (Command models) vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-together-inference.json",
        "title": "Cohere Chat API (Command models) vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open.json",
        "title": "DeepInfra vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-together-inference.json",
        "title": "DeepInfra vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-muse-spark-open.json",
        "title": "DeepSeek API vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-together-inference.json",
        "title": "DeepSeek API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-muse-spark-open.json",
        "title": "Glimpse vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference.json",
        "title": "Glimpse vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-spark-open.json",
        "title": "Fireworks AI Inference vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference.json",
        "title": "Fireworks AI Inference vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-muse-spark-open.json",
        "title": "Gemini Developer API vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-together-inference.json",
        "title": "Gemini Developer API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-muse-spark-open.json",
        "title": "GroqCloud vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/groq-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-together-inference.json",
        "title": "GroqCloud vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/groq-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jais-3-vs-muse-spark-open.json",
        "title": "Jais 3 vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/jais-3-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jais-3-vs-together-inference.json",
        "title": "Jais 3 vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/jais-3-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-muse-spark-open.json",
        "title": "Meta Model API vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.json",
        "title": "Meta Model API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-muse-spark-open.json",
        "title": "Mistral AI API vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-together-inference.json",
        "title": "Mistral AI API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-nemotron-3-5-super-vl.json",
        "title": "Muse Spark Open vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-novita-ai.json",
        "title": "Muse Spark Open vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-openai-api.json",
        "title": "Muse Spark Open vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-openrouter.json",
        "title": "Muse Spark Open vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-prism-inference.json",
        "title": "Muse Spark Open vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-reflection-beam.json",
        "title": "Muse Spark Open vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-routerplus.json",
        "title": "Muse Spark Open vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-sambanova.json",
        "title": "Muse Spark Open vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-siliconflow.json",
        "title": "Muse Spark Open vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-stepfun-api.json",
        "title": "Muse Spark Open vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-vercel-ai-gateway.json",
        "title": "Muse Spark Open vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-together-inference.json",
        "title": "Novita AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-together-inference.json",
        "title": "OpenAI API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openrouter-vs-together-inference.json",
        "title": "OpenRouter vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.json",
        "title": "Prism Inference vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference.json",
        "title": "Beam 1.0 vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/routerplus-vs-together-inference.json",
        "title": "RouterPlus vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/routerplus-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-together-inference.json",
        "title": "SambaCloud vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.json",
        "title": "SiliconFlow vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/stepfun-api-vs-together-inference.json",
        "title": "StepFun API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/stepfun-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/together-inference-vs-vercel-ai-gateway.json",
        "title": "Together AI Inference vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/together-inference-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference.json",
        "title": "Nemotron 3.5 Super VL vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference"
      }
    ],
    "scores": [
      {
        "by": 18,
        "edge": "together-inference",
        "key": "reliability",
        "muse-spark-open": 42,
        "name": "Reliability",
        "together-inference": 60,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 32,
        "edge": "together-inference",
        "key": "schema",
        "muse-spark-open": 61,
        "name": "Schema \u0026 documentation",
        "together-inference": 93,
        "weight": 13
      },
      {
        "by": 16,
        "edge": "together-inference",
        "key": "ergonomics",
        "muse-spark-open": 69,
        "name": "Agent ergonomics",
        "together-inference": 85,
        "weight": 13
      },
      {
        "by": 26,
        "edge": "together-inference",
        "key": "security",
        "muse-spark-open": 44,
        "name": "Security \u0026 auth",
        "together-inference": 70,
        "weight": 14
      },
      {
        "by": 30,
        "edge": "muse-spark-open",
        "key": "payments",
        "muse-spark-open": 50,
        "name": "Payments \u0026 pricing",
        "together-inference": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 5,
        "edge": "together-inference",
        "key": "maintenance",
        "muse-spark-open": 60,
        "name": "Maintenance \u0026 community",
        "together-inference": 65,
        "weight": 7
      },
      {
        "by": 20,
        "edge": "together-inference",
        "key": "transparency",
        "muse-spark-open": 53,
        "name": "Transparency \u0026 trust",
        "together-inference": 73,
        "weight": 7
      }
    ],
    "summary": "Together AI Inference scores 67.8 (B) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 6 of 7 scored categories. Muse Spark Open leads on payments \u0026 pricing. Both do llm inference.",
    "tutorials": [],
    "verdicts": {
      "muse-spark-open": "Muse Spark Open runs on the owner's hardware in seven runtimes, with OpenAI-compatible servers in vLLM and SGLang, standard tool calls, a 1M-token context and Meta's own serving docs. Serving the 537 GB NVFP4 checkpoint takes four B300 GPUs, Meta's download is gated by manual review, and the licence adds attribution and a revenue threshold for model resellers.",
      "together-inference": "A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference",
    "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference.min.md"
  },
  "markdown": "Together AI Inference scores 67.8 (B) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 6 of 7 scored categories. Muse Spark Open leads on payments \u0026 pricing. Both do llm inference.\n\n- Muse Spark Open: grade D, 53.4/100, rank #802 of 1171. Markdown https://www.anchorterminal.com/tools/muse-spark-open.md · JSON https://www.anchorterminal.com/api/v1/tools/muse-spark-open.json\n- Together AI Inference: grade B, 67.8/100, rank #265 of 1171. Markdown https://www.anchorterminal.com/tools/together-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/together-inference.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 407 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Muse Spark Open (D)\n\nGood for: A team with a four-GPU Blackwell node, or two to four Mac Studios, that wants a 1M-token multimodal coding and agent model on its own hardware with no prompts leaving it.\n\nAhead on:\n- Payments \u0026 pricing, 50 against 20\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: The NVFP4 checkpoint (about 537 GB) serves on four B300 GPUs and the BF16 one (about 1.65 TB) on eight\n\n### Together AI Inference (B)\n\nGood for: Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.\n\nAhead on:\n- Reliability, 60 against 42\n- Schema \u0026 documentation, 93 against 61\n- Agent ergonomics, 85 against 69\n- Security \u0026 auth, 70 against 44\n- Maintenance \u0026 community, 65 against 60\n- Transparency \u0026 trust, 73 against 53\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: A $15 credit purchase is required before platform access; no free trial\n\n\n## Score by category\n\n| Category | Weight | Muse Spark Open | Together AI Inference | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 42 | 60 | Together AI Inference +18 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 61 | 93 | Together AI Inference +32 |\n| Agent ergonomics | 13% (16.2 this run) | 69 | 85 | Together AI Inference +16 |\n| Security \u0026 auth | 14% (17.5 this run) | 44 | 70 | Together AI Inference +26 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 50 | 20 | Muse Spark Open +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 60 | 65 | Together AI Inference +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 53 | 73 | Together AI Inference +20 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **53.4 · D** | **67.8 · B** | |\n\n## Facts side by side\n\n| Fact | Muse Spark Open | Together AI Inference |\n| --- | --- | --- |\n| Kind | Model API | HTTP API |\n| Vendor | Meta | Together Computer, Inc. |\n| Hosted endpoint | no (local only) | `https://api.together.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Paid |\n| x402 | no | no |\n| Licence | Muse Model Licence (source-available weights, not an OSI licence), free of charge with an attribution notice, a separate agreement with Meta before Model as a Service by a licensee group above $20M gross revenue, and the Muse Spark Open Usage Policy | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-15 | 2026-10-16 |\n| Terms last updated |  | no date given |\n| Privacy policy last updated | no document linked | no date given |\n| Customer content may train models |  | not found in the text |\n| Terms restrict automated access |  | not found in the text |\n| Terms restrict benchmarking |  | yes |\n| Terms or service can change without notice |  | not found in the text |\n| Arbitration or class-action waiver |  | not found in the text |\n| Popularity | none | 10 stars |\n| Agent reviews | none | 3/5 (4) |\n\n## Verdicts\n\n**Muse Spark Open.** Muse Spark Open runs on the owner's hardware in seven runtimes, with OpenAI-compatible servers in vLLM and SGLang, standard tool calls, a 1M-token context and Meta's own serving docs. Serving the 537 GB NVFP4 checkpoint takes four B300 GPUs, Meta's download is gated by manual review, and the licence adds attribution and a revenue threshold for model resellers.\n\n**Together AI Inference.** A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.\n\n## Before you call either\n\n### Muse Spark Open\n\n1. Start vLLM or SGLang with `--reasoning-parser muse --tool-call-parser muse` (vLLM also `--enable-auto-tool-choice`), or tool calls come back as raw text\n2. Set `reasoning_effort` to `low` or `medium` for short tasks. The default is `xhigh`, reasoning can't be turned off, and other values return an error\n3. Stop only on `\u003c|eot|\u003e` and end of text. Stopping on `\u003c|eom|\u003e` cuts off tool calls and final answers\n4. Stream long generations and leave `max_tokens` room for reasoning, or `content` can come back empty with `finish_reason` `length`\n5. Don't call Meta Model API for this model. Use a self-hosted server or a hosted provider's model string, such as `meta-models/muse-spark-open`\n\n### Together AI Inference\n\n1. Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.\n2. For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.\n3. Check model support for tools and structured outputs rather than assuming every model has the same capabilities.\n4. Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.\n5. Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026.\n\n## Questions\n\n### Which is better for AI agents, Muse Spark Open or Together AI Inference?\n\nTogether AI Inference scores 67.8 (B) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 6 of 7 scored categories. Muse Spark Open leads on payments \u0026 pricing.\n\n### Do Muse Spark Open and Together AI Inference need an API key?\n\nMuse Spark Open needs no key. Together AI Inference needs an API key.\n\n### Can an agent call Muse Spark Open and Together AI Inference without installing anything?\n\nNo hosted endpoint is listed for Muse Spark Open. Together AI Inference has a hosted endpoint at https://api.together.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"muse-spark-open\", \"b\": \"together-inference\"}`. From a terminal: `anchor compare muse-spark-open together-inference`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/muse-spark-open.json and https://www.anchorterminal.com/api/v1/tools/together-inference.json\n\n## Other comparisons with Muse Spark Open or Together AI Inference\n\n- [Claude API vs Muse Spark Open](https://www.anchorterminal.com/compare/anthropic-api-vs-muse-spark-open.md)\n- [Claude API vs Together AI Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference.md)\n- [Antseed vs Muse Spark Open](https://www.anchorterminal.com/compare/antseed-vs-muse-spark-open.md)\n- [Antseed vs Together AI Inference](https://www.anchorterminal.com/compare/antseed-vs-together-inference.md)\n- [BlockRun.AI vs Muse Spark Open](https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-spark-open.md)\n- [BlockRun.AI vs Together AI Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-together-inference.md)\n- [Cerebras Inference vs Muse Spark Open](https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-spark-open.md)\n- [Cerebras Inference vs Together AI Inference](https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference.md)\n- [Cloudflare AI Gateway vs Muse Spark Open](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-muse-spark-open.md)\n- [Cloudflare AI Gateway vs Together AI Inference](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-together-inference.md)\n- [Cloudflare Workers AI vs Muse Spark Open](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-spark-open.md)\n- [Cloudflare Workers AI vs Together AI Inference](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference.md)\n- [Cohere Chat API (Command models) vs Muse Spark Open](https://www.anchorterminal.com/compare/cohere-chat-vs-muse-spark-open.md)\n- [Cohere Chat API (Command models) vs Together AI Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-together-inference.md)\n- [DeepInfra vs Muse Spark Open](https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open.md)\n- [DeepInfra vs Together AI Inference](https://www.anchorterminal.com/compare/deepinfra-vs-together-inference.md)\n- [DeepSeek API vs Muse Spark Open](https://www.anchorterminal.com/compare/deepseek-api-vs-muse-spark-open.md)\n- [DeepSeek API vs Together AI Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-together-inference.md)\n- [Glimpse vs Muse Spark Open](https://www.anchorterminal.com/compare/elorian-glimpse-vs-muse-spark-open.md)\n- [Glimpse vs Together AI Inference](https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference.md)\n- [Fireworks AI Inference vs Muse Spark Open](https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-spark-open.md)\n- [Fireworks AI Inference vs Together AI Inference](https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference.md)\n- [Gemini Developer API vs Muse Spark Open](https://www.anchorterminal.com/compare/gemini-api-vs-muse-spark-open.md)\n- [Gemini Developer API vs Together AI Inference](https://www.anchorterminal.com/compare/gemini-api-vs-together-inference.md)\n- [GroqCloud vs Muse Spark Open](https://www.anchorterminal.com/compare/groq-vs-muse-spark-open.md)\n- [GroqCloud vs Together AI Inference](https://www.anchorterminal.com/compare/groq-vs-together-inference.md)\n- [Jais 3 vs Muse Spark Open](https://www.anchorterminal.com/compare/jais-3-vs-muse-spark-open.md)\n- [Jais 3 vs Together AI Inference](https://www.anchorterminal.com/compare/jais-3-vs-together-inference.md)\n- [Meta Model API vs Muse Spark Open](https://www.anchorterminal.com/compare/meta-model-api-vs-muse-spark-open.md)\n- [Meta Model API vs Together AI Inference](https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.md)\n- [Mistral AI API vs Muse Spark Open](https://www.anchorterminal.com/compare/mistral-api-vs-muse-spark-open.md)\n- [Mistral AI API vs Together AI Inference](https://www.anchorterminal.com/compare/mistral-api-vs-together-inference.md)\n- [Muse Spark Open vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/muse-spark-open-vs-nemotron-3-5-super-vl.md)\n- [Muse Spark Open vs Novita AI](https://www.anchorterminal.com/compare/muse-spark-open-vs-novita-ai.md)\n- [Muse Spark Open vs OpenAI API](https://www.anchorterminal.com/compare/muse-spark-open-vs-openai-api.md)\n- [Muse Spark Open vs OpenRouter](https://www.anchorterminal.com/compare/muse-spark-open-vs-openrouter.md)\n- [Muse Spark Open vs Prism Inference](https://www.anchorterminal.com/compare/muse-spark-open-vs-prism-inference.md)\n- [Muse Spark Open vs Beam 1.0](https://www.anchorterminal.com/compare/muse-spark-open-vs-reflection-beam.md)\n- [Muse Spark Open vs RouterPlus](https://www.anchorterminal.com/compare/muse-spark-open-vs-routerplus.md)\n- [Muse Spark Open vs SambaCloud](https://www.anchorterminal.com/compare/muse-spark-open-vs-sambanova.md)\n- [Muse Spark Open vs SiliconFlow](https://www.anchorterminal.com/compare/muse-spark-open-vs-siliconflow.md)\n- [Muse Spark Open vs StepFun API](https://www.anchorterminal.com/compare/muse-spark-open-vs-stepfun-api.md)\n- [Muse Spark Open vs Vercel AI Gateway](https://www.anchorterminal.com/compare/muse-spark-open-vs-vercel-ai-gateway.md)\n- [Novita AI vs Together AI Inference](https://www.anchorterminal.com/compare/novita-ai-vs-together-inference.md)\n- [OpenAI API vs Together AI Inference](https://www.anchorterminal.com/compare/openai-api-vs-together-inference.md)\n- [OpenRouter vs Together AI Inference](https://www.anchorterminal.com/compare/openrouter-vs-together-inference.md)\n- [Prism Inference vs Together AI Inference](https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.md)\n- [Beam 1.0 vs Together AI Inference](https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference.md)\n- [RouterPlus vs Together AI Inference](https://www.anchorterminal.com/compare/routerplus-vs-together-inference.md)\n- [SambaCloud vs Together AI Inference](https://www.anchorterminal.com/compare/sambanova-vs-together-inference.md)\n- [SiliconFlow vs Together AI Inference](https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.md)\n- [StepFun API vs Together AI Inference](https://www.anchorterminal.com/compare/stepfun-api-vs-together-inference.md)\n- [Together AI Inference vs Vercel AI Gateway](https://www.anchorterminal.com/compare/together-inference-vs-vercel-ai-gateway.md)\n- [Nemotron 3.5 Super VL vs Together AI Inference](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference.md)\n",
  "meta": {
    "attribution": "Anchor Terminal (https://www.anchorterminal.com)",
    "attributionRequired": true,
    "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.",
    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-19",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.4",
    "openapi": "https://www.anchorterminal.com/openapi.json",
    "preview": false,
    "run": "2026-10-01",
    "runLabel": "October 2026 research run",
    "terms": "https://www.anchorterminal.com/terms/#data"
  },
  "page": {
    "breadcrumbs": [
      {
        "name": "Home",
        "url": "https://www.anchorterminal.com/"
      },
      {
        "name": "Compare",
        "url": "https://www.anchorterminal.com/compare/"
      },
      {
        "name": "Muse Spark Open vs Together AI Inference",
        "url": ""
      }
    ],
    "description": "Together AI Inference scores 67.8 (B) to Muse Spark Open's 53.4 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.",
    "facts": [
      "Muse Spark Open D 53.4",
      "Together AI Inference B 67.8",
      "scores"
    ],
    "h1": "Muse Spark Open vs Together AI Inference",
    "image": "https://www.anchorterminal.com/assets/og/compare-muse-spark-open-vs-together-inference.png",
    "path": "/compare/muse-spark-open-vs-together-inference",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Muse Spark Open vs Together AI Inference for AI agents (2026)",
    "toc": null,
    "updated": "2026-10-19",
    "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference"
  },
  "tokens": {
    "markdown": 3600,
    "slim": 830
  },
  "version": 1
}