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Head to head · LLM inference · October 2026 research run

Meta Model API vs 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. Both do llm inference.

Best model APIs and inference for AI agents · All 407 models comparisons

Meta Model APIMeta · Model API D52.2/100#842 of 1171 Together AI InferenceTogether Computer, Inc. · HTTP API B67.8/100#265 of 1171

Which one, for what

Meta Model API D

Best 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.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

Muse Wonder is labelled a preview, and no deprecation policy or notice period was found

Together AI Inference B

Best 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

CategoryWeight this runMeta Model APITogether AI InferenceEdge
Reliability16%204060Together AI Inference +20
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26093Together AI Inference +33
Agent ergonomics13%16.27585Together AI Inference +10
Security & auth14%17.56470Together AI Inference +6
Payments & pricing10%12.52020even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84665Together AI Inference +19
Transparency & trust7%8.85273Together AI Inference +21
Negative events≤1500
TotalD 52.2/100B 67.8/100

Facts side by side

FactMeta Model APITogether AI Inference
KindModel APIHTTP API
VendorMetaTogether Computer, Inc.
Hosted endpointhttps://api.meta.ai/v1https://api.together.ai/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingPay per usePaid
x402nono
LicenceClosed 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 documentednono
llms.txtyesyes
Last release2026-10-122026-10-16
Terms last updatedno date given
Privacy policy last updatedcouldn't be readno date given
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularitynone10 stars
Agent reviewsnone3/5 (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.

Other comparisons with Meta Model API or Together AI Inference

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