Head to head · LLM inference · October 2026 research run

Beam 1.0 vs SiliconFlow

Beam 1.0 scores 53.4 (D) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. SiliconFlow leads on payments & pricing. Both do llm inference.

Best model APIs and inference for AI agents · All 326 models comparisons

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.

Ahead on

  • Reliability, 40 against 33
  • Schema & documentation, 84 against 65
  • Agent ergonomics, 67 against 60
  • Security & auth, 46 against 39
  • Transparency & trust, 68 against 51

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

SiliconFlow D

Best for Agents that want recent open-weight chat models, plus image, video and speech, behind one OpenAI-style key at low per-token prices, and can live without a status page or SLA.

Ahead on

  • Payments & pricing, 35 against 20

Watch for

No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment

Score by category

CategoryWeight this runBeam 1.0SiliconFlowEdge
Reliability16%204033Beam 1.0 +7
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28465Beam 1.0 +19
Agent ergonomics13%16.26760Beam 1.0 +7
Security & auth14%17.54639Beam 1.0 +7
Payments & pricing10%12.52035SiliconFlow +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85047Beam 1.0 +3
Transparency & trust7%8.86851Beam 1.0 +17
Negative events≤1500
TotalD 53.4/100D 46.7/100

Facts side by side

FactBeam 1.0SiliconFlow
KindModel APIModel API
VendorReflectionSiliconFlow Labs Pte. Ltd.
Hosted endpointhttps://api.reflection.ai/openai/v1https://api.siliconflow.com/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreePay per use
x402nono
LicenceWeights under Apache-2.0. The hosted Reflection API is a closed service under Reflection AI, Inc.'s commercial terms of serviceProprietary service under the SiliconFlow Terms of Use
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-162026-09-14
Terms last updatedno date given
Privacy policy last updatedno date given
Customer content may train modelsnot found in the text
Terms restrict automated accessyes
Terms restrict benchmarkingyes
Terms or service can change without noticeyes
Arbitration or class-action waiveryes
Agent reviews2.5/5 (4)2.5/5 (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.

SiliconFlow

Per-token prices for every listed model are public, and one key reaches chat, embeddings, reranking, image, video and speech through OpenAI-style and Anthropic-style routes. No status page, SLA, security page or official SDK was found, release notes stop at 11 June 2026, and several model removals are dated the same day as their notice.

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

SiliconFlow

  1. Set the OpenAI client's base URL to https://api.siliconflow.com/v1, or the Anthropic client's to https://api.siliconflow.com/, and send the key as a Bearer token
  2. Take model ids from the model pages or GET /v1/models, not from the OpenAPI enum or the function calling guide, which list removed models
  3. Check the model field of each response. On 11 June 2026 traffic for GLM-5 and Kimi-K2.5 was routed to successor models
  4. Use response_format of json_object only where the model page says JSON Mode is supported, and keep max_tokens about 10,000 below the context length
  5. Set the Claude Code environment variables by hand. The automated route pipes a script from an Amazon S3 bucket into bash

Questions

Which is better for AI agents, Beam 1.0 or SiliconFlow?

Beam 1.0 scores 53.4 (D) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. SiliconFlow leads on payments & pricing.

Do Beam 1.0 and SiliconFlow need an API key?

Both need an API key.

Can an agent call Beam 1.0 and SiliconFlow without installing anything?

Yes. Beam 1.0 has a hosted endpoint at https://api.reflection.ai/openai/v1 and SiliconFlow at https://api.siliconflow.com/v1.

Other comparisons with Beam 1.0 or SiliconFlow

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