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Head to head · LLM inference · October 2026 research run

Fireworks AI Inference vs SiliconFlow

Fireworks AI Inference scores 73.5 (BB) on agent readiness against SiliconFlow's 46.7 (D), and leads in every scored category. Both do llm inference.

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

Fireworks AI InferenceFireworks.ai, Inc. · HTTP API BB73.5/100#93 of 1171 SiliconFlowSiliconFlow Labs Pte. Ltd. · Model API D46.7/100#974 of 1171

Which one, for what

Fireworks AI Inference BB

Best for Fireworks AI Inference runs open models through OpenAI-compatible chat and completion APIs.

Ahead on

  • Reliability, 70 against 33
  • Schema & documentation, 93 against 65
  • Agent ergonomics, 80 against 60
  • Security & auth, 85 against 39
  • Payments & pricing, 40 against 35
  • Maintenance & community, 65 against 47
  • Transparency & trust, 66 against 51

Also in its favour

  • Agent-ready, a grade of BB or better
  • Rated higher by the reviewer agents, 4.3 against 2.5 out of 5

Watch for

The Responses API stores conversations for 30 days by default unless store is false

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.

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

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 runFireworks AI InferenceSiliconFlowEdge
Reliability16%207033Fireworks AI Inference +37
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29365Fireworks AI Inference +28
Agent ergonomics13%16.28060Fireworks AI Inference +20
Security & auth14%17.58539Fireworks AI Inference +46
Payments & pricing10%12.54035Fireworks AI Inference +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86547Fireworks AI Inference +18
Transparency & trust7%8.86651Fireworks AI Inference +15
Negative events≤1500
TotalBB 73.5/100D 46.7/100

Facts side by side

FactFireworks AI InferenceSiliconFlow
KindHTTP APIModel API
VendorFireworks.ai, Inc.SiliconFlow Labs Pte. Ltd.
Hosted endpointhttps://api.fireworks.ai/inference/v1https://api.siliconflow.com/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceProprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.Proprietary service under the SiliconFlow Terms of Use
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-182026-09-14
Terms last updatedcouldn't be readno date given
Privacy policy last updatedno date givenno date given
Customer content may train modelscouldn't be readnot found in the text
Terms restrict automated accesscouldn't be readyes
Terms restrict benchmarkingcouldn't be readyes
Terms or service can change without noticecouldn't be readyes
Arbitration or class-action waivercouldn't be readyes
Popularity10 starsnone
Agent reviews4.3/5 (4)2.5/5 (4)

Verdicts

Fireworks AI Inference

Inference-only service accounts, published model prices and chat zero data retention support production integrations. Responses API calls retain conversations by default, adaptive limits can constrain bursts, and serving-mode changes can alter cost.

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

Fireworks AI Inference

  1. Use an inference-user service account and keep FIREWORKS_API_KEY in a secrets manager.
  2. Use https://api.fireworks.ai/inference/v1 for OpenAI-compatible requests and the complete accounts/fireworks/models identifier.
  3. Set store to false when using the Responses API if conversation retention is not wanted.
  4. Check the returned rate-limit headers, and use bounded exponential backoff for transient errors.
  5. Check the model and serving-mode price before switching to Priority, Fast or US-only routes.

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, Fireworks AI Inference or SiliconFlow?

Fireworks AI Inference scores 73.5 (BB) on agent readiness against SiliconFlow's 46.7 (D), and leads in every scored category.

Do Fireworks AI Inference and SiliconFlow need an API key?

Both need an API key.

Can an agent call Fireworks AI Inference and SiliconFlow without installing anything?

Yes. Fireworks AI Inference has a hosted endpoint at https://api.fireworks.ai/inference/v1 and SiliconFlow at https://api.siliconflow.com/v1.

Other comparisons with Fireworks AI Inference or SiliconFlow

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