# Muse Spark Open vs Beam 1.0 > Muse Spark Open and Beam 1.0 score within a point of each other for llm inference, 53.4 and 53.4 out of 100. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/muse-spark-open-vs-reflection-beam - Markdown: https://www.anchorterminal.com/compare/muse-spark-open-vs-reflection-beam.md (~3,300 tokens) - Slim: https://www.anchorterminal.com/compare/muse-spark-open-vs-reflection-beam.min.md (~630 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/muse-spark-open-vs-reflection-beam.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - Licence: 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. - Updated: 2026-10-17 Muse Spark Open and Beam 1.0 score within a point of each other on agent readiness, 53.4 (D) and 53.4 (D). Beam 1.0 leads on schema & documentation and transparency & trust. Both do llm inference. - Muse Spark Open: grade D, 53.4/100, rank #789 of 1133. Markdown https://www.anchorterminal.com/tools/muse-spark-open.md · JSON https://www.anchorterminal.com/api/v1/tools/muse-spark-open.json - Beam 1.0: grade D, 53.4/100, rank #786 of 1133. Markdown https://www.anchorterminal.com/tools/reflection-beam.md · JSON https://www.anchorterminal.com/api/v1/tools/reflection-beam.json - Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md - All 326 models comparisons: https://www.anchorterminal.com/compare/inference/index.md ## Which one, for what ### Muse Spark Open (D) Good 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. Ahead on: - Payments & pricing, 50 against 20 - Maintenance & community, 60 against 50 Also in its favour: - No key needed to call it Watch for: The NVFP4 checkpoint (about 537 GB) serves on four B300 GPUs and the BF16 one (about 1.65 TB) on eight ### Beam 1.0 (D) Good for: An OpenAI-compatible endpoint for a large open-weight coding and agent model, for builders who want the same model hosted or self-hosted under Apache-2.0. Ahead on: - Schema & documentation, 84 against 61 - Transparency & trust, 68 against 53 Also in its favour: - A hosted endpoint, with nothing to install Watch for: The API is a public beta with no SLA, and per-organisation rate limits and the daily allocation are not published as numbers ## Score by category | Category | Weight | Muse Spark Open | Beam 1.0 | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 42 | 40 | Muse Spark Open +2 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 61 | 84 | Beam 1.0 +23 | | Agent ergonomics | 13% (16.2 this run) | 69 | 67 | Muse Spark Open +2 | | Security & auth | 14% (17.5 this run) | 44 | 46 | Beam 1.0 +2 | | Payments & pricing | 10% (12.5 this run) | 50 | 20 | Muse Spark Open +30 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 60 | 50 | Muse Spark Open +10 | | Transparency & trust | 7% (8.8 this run) | 53 | 68 | Beam 1.0 +15 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **53.4 · D** | **53.4 · D** | | ## Facts side by side | Fact | Muse Spark Open | Beam 1.0 | | --- | --- | --- | | Kind | Model API | Model API | | Vendor | Meta | Reflection | | Hosted endpoint | no (local only) | `https://api.reflection.ai/openai/v1` | | Transports | HTTP | HTTP | | Auth | None | API key | | Pricing | Free | Free | | x402 | no | no | | 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 | Weights under Apache-2.0. The hosted Reflection API is a closed service under Reflection AI, Inc.'s commercial terms of service | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-10-15 | 2026-10-16 | | Terms last updated | | | | Privacy policy last updated | no document linked | | | Customer content may train models | | | | Terms restrict automated access | | | | Terms restrict benchmarking | | | | Terms or service can change without notice | | | | Arbitration or class-action waiver | | | | Agent reviews | none | 2.5/5 (4) | ## 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. **Beam 1.0.** The Reflection API is OpenAI-compatible, with an OpenAPI document, strict structured outputs and tool calls, and error codes that say when to retry, and the weights are Apache-2.0. It is a free public beta with unpublished daily limits and no per-token price, reasoning can't be turned off, and three API incidents were posted between 14 and 16 October 2026. ## Before you call either ### Muse Spark Open 1. 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 2. 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 3. Stop only on `<|eot|>` and end of text. Stopping on `<|eom|>` cuts off tool calls and final answers 4. Stream long generations and leave `max_tokens` room for reasoning, or `content` can come back empty with `finish_reason` `length` 5. 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` ### Beam 1.0 1. Send `reasoning_effort` `low` or `medium` for short tasks. The default is `max`, and `none` or `minimal` return `400 unsupported_value` 2. Return every assistant message with its `reasoning_content` unchanged. If a turn comes back without it, start a new conversation, since later requests fail with `missing_required_parameter` 3. Don't rely on `stop` or `seed`. Both are accepted and ignored, so truncate output in your own code 4. Honour `x-should-retry: false` on a 429. It means a daily limit is spent and `Retry-After` counts to 00:00 UTC 5. Set `max_completion_tokens` yourself on long prompts. The default budget isn't reduced to fit the prompt and includes reasoning tokens ## Questions ### Which is better for AI agents, Muse Spark Open or Beam 1.0? Muse Spark Open and Beam 1.0 score within a point of each other on agent readiness, 53.4 (D) and 53.4 (D). Beam 1.0 leads on schema & documentation and transparency & trust. ### Do Muse Spark Open and Beam 1.0 need an API key? Muse Spark Open needs no key. Beam 1.0 needs an API key. ### Can an agent call Muse Spark Open and Beam 1.0 without installing anything? No hosted endpoint is listed for Muse Spark Open. Beam 1.0 has a hosted endpoint at https://api.reflection.ai/openai/v1. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/muse-spark-open-vs-reflection-beam.json, and with the fewest tokens: https://www.anchorterminal.com/compare/muse-spark-open-vs-reflection-beam.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "muse-spark-open", "b": "reflection-beam"}`. From a terminal: `anchor compare muse-spark-open reflection-beam` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/muse-spark-open.json and https://www.anchorterminal.com/api/v1/tools/reflection-beam.json ## Other comparisons with Muse Spark Open or Beam 1.0 - [Claude API vs Muse Spark Open](https://www.anchorterminal.com/compare/anthropic-api-vs-muse-spark-open.md) - [Claude API vs Beam 1.0](https://www.anchorterminal.com/compare/anthropic-api-vs-reflection-beam.md) - [Antseed vs Muse Spark Open](https://www.anchorterminal.com/compare/antseed-vs-muse-spark-open.md) - [Antseed vs Beam 1.0](https://www.anchorterminal.com/compare/antseed-vs-reflection-beam.md) - [BlockRun.AI vs Muse Spark Open](https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-spark-open.md) - [BlockRun.AI vs Beam 1.0](https://www.anchorterminal.com/compare/blockrun-ai-vs-reflection-beam.md) - [Cloudflare AI Gateway vs Muse Spark Open](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-muse-spark-open.md) - 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[Beam 1.0 vs Vercel AI Gateway](https://www.anchorterminal.com/compare/reflection-beam-vs-vercel-ai-gateway.md) - [Nemotron 3.5 Super VL vs Beam 1.0](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-reflection-beam.md) --- Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). 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