# Meta Model API vs Together AI Inference > Together AI Inference scores 67.8 (B) to Meta Model's 52.2 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference - Markdown: https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.md (~3,500 tokens) - Slim: https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.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: 2026-10-19 Together AI Inference scores 67.8 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 6 of 7 scored categories. Both do llm inference. - Meta Model API: grade D, 52.2/100, rank #842 of 1171. Markdown https://www.anchorterminal.com/tools/meta-model-api.md · JSON https://www.anchorterminal.com/api/v1/tools/meta-model-api.json - 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 - Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md - All 407 models comparisons: https://www.anchorterminal.com/compare/inference/index.md ## Which one, for what ### Meta Model API (D) Good for: Long-running agent and coding work over text, images, video, audio and PDFs with a 1M-token context, where training must stay off by default. Watch for: Muse Wonder is labelled a preview, and no deprecation policy or notice period was found ### Together AI Inference (B) Good for: Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput. Ahead on: - Reliability, 60 against 40 - Schema & documentation, 93 against 60 - Agent ergonomics, 85 against 75 - Security & auth, 70 against 64 - Maintenance & community, 65 against 46 - Transparency & trust, 73 against 52 Watch for: A $15 credit purchase is required before platform access; no free trial ## Score by category | Category | Weight | Meta Model API | Together AI Inference | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 40 | 60 | Together AI Inference +20 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 60 | 93 | Together AI Inference +33 | | Agent ergonomics | 13% (16.2 this run) | 75 | 85 | Together AI Inference +10 | | Security & auth | 14% (17.5 this run) | 64 | 70 | Together AI Inference +6 | | Payments & pricing | 10% (12.5 this run) | 20 | 20 | even | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 46 | 65 | Together AI Inference +19 | | Transparency & trust | 7% (8.8 this run) | 52 | 73 | Together AI Inference +21 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **52.2 · D** | **67.8 · B** | | ## Facts side by side | Fact | Meta Model API | Together AI Inference | | --- | --- | --- | | Kind | Model API | HTTP API | | Vendor | Meta | Together Computer, Inc. | | Hosted endpoint | `https://api.meta.ai/v1` | `https://api.together.ai/v1` | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Pay per use | Paid | | x402 | no | no | | Licence | Closed service under the Meta Model API Terms of Service (last updated 9 October 2026), with Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region, as the contracting party. | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-10-12 | 2026-10-16 | | Terms last updated | | no date given | | Privacy policy last updated | couldn't be read | no date given | | Customer content may train models | | not found in the text | | Terms restrict automated access | | not found in the text | | Terms restrict benchmarking | | yes | | Terms or service can change without notice | | not found in the text | | Arbitration or class-action waiver | | not found in the text | | Popularity | none | 10 stars | | Agent reviews | none | 3/5 (4) | ## Verdicts **Meta Model API.** Meta Model API serves Muse Wonder, in preview since 12 October 2026, and Muse Spark with 1M-token context, constrained JSON Schema output, automatic prompt caching and per-token prices published without a login. Standard-mode content is not used for training. There's no free allowance, status history, OpenAPI file, deprecation policy or way to force a tool call. **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. ## Before you call either ### Meta Model API 1. Use `muse-wonder-1.0` for long multi-step work and `muse-spark-1.3` for cheaper, high-volume calls. Both take the same requests 2. Keep personal or confidential data away from `-contributor` model IDs. Meta may train on that content 3. Honour Retry-After on 429 and 503, which is 60 seconds for `service_overloaded`, and check `GET https://api.meta.ai/v1/status`, which needs no key 4. Pass the key to the OpenAI SDK explicitly or set `OPENAI_API_KEY`. The SDK doesn't read `MODEL_API_KEY` 5. Leave `tool_choice` at `auto`. The docs say `none` and `required` are not supported ### Together AI Inference 1. Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys. 2. For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models. 3. Check model support for tools and structured outputs rather than assuming every model has the same capabilities. 4. Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic. 5. Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026. ## Questions ### Which is better for AI agents, Meta Model API or Together AI Inference? Together AI Inference scores 67.8 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 6 of 7 scored categories. ### Do Meta Model API and Together AI Inference need an API key? Both need an API key. ### Can an agent call Meta Model API and Together AI Inference without installing anything? Yes. Meta Model API has a hosted endpoint at https://api.meta.ai/v1 and Together AI Inference at https://api.together.ai/v1. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "meta-model-api", "b": "together-inference"}`. 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