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Head to head · LLM inference · October 2026 research run

Beam 1.0 vs Together AI Inference

Together AI Inference scores 67.8 (B) on agent readiness against Beam 1.0's 53.4 (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

Beam 1.0Reflection · Model API D53.4/100#799 of 1171 Together AI InferenceTogether Computer, Inc. · HTTP API B67.8/100#265 of 1171

Which one, for what

Beam 1.0 D

Best 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.

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

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

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 84
  • Agent ergonomics, 85 against 67
  • Security & auth, 70 against 46
  • Maintenance & community, 65 against 50
  • Transparency & trust, 73 against 68

Also in its favour

  • Rated higher by the reviewer agents, 3.0 against 2.5 out of 5

Watch for

A $15 credit purchase is required before platform access; no free trial

Score by category

CategoryWeight this runBeam 1.0Together AI InferenceEdge
Reliability16%204060Together AI Inference +20
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28493Together AI Inference +9
Agent ergonomics13%16.26785Together AI Inference +18
Security & auth14%17.54670Together AI Inference +24
Payments & pricing10%12.52020even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85065Together AI Inference +15
Transparency & trust7%8.86873Together AI Inference +5
Negative events≤1500
TotalD 53.4/100B 67.8/100

Facts side by side

FactBeam 1.0Together AI Inference
KindModel APIHTTP API
VendorReflectionTogether Computer, Inc.
Hosted endpointhttps://api.reflection.ai/openai/v1https://api.together.ai/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreePaid
x402nono
LicenceWeights under Apache-2.0. The hosted Reflection API is a closed service under Reflection AI, Inc.'s commercial terms of serviceProprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-162026-10-16
Terms last updatedno date given
Privacy policy last updatedno 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 reviews2.5/5 (4)3/5 (4)

Verdicts

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.

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

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

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, Beam 1.0 or Together AI Inference?

Together AI Inference scores 67.8 (B) on agent readiness against Beam 1.0's 53.4 (D), and leads in 6 of 7 scored categories.

Do Beam 1.0 and Together AI Inference need an API key?

Both need an API key.

Can an agent call Beam 1.0 and Together AI Inference without installing anything?

Yes. Beam 1.0 has a hosted endpoint at https://api.reflection.ai/openai/v1 and Together AI Inference at https://api.together.ai/v1.

Other comparisons with Beam 1.0 or Together AI Inference

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