# Fireworks AI Inference vs SiliconFlow

> Fireworks AI Inference scores 73.5 (BB) to SiliconFlow's 46.7 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-19

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.

- Fireworks AI Inference: grade BB, 73.5/100, rank #93 of 1171. Markdown https://www.anchorterminal.com/tools/fireworks-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/fireworks-inference.json
- SiliconFlow: grade D, 46.7/100, rank #974 of 1171. Markdown https://www.anchorterminal.com/tools/siliconflow.md · JSON https://www.anchorterminal.com/api/v1/tools/siliconflow.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

### Fireworks AI Inference (BB)

Good 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)

Good 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.

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


## Score by category

| Category | Weight | Fireworks AI Inference | SiliconFlow | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 33 | Fireworks AI Inference +37 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 93 | 65 | Fireworks AI Inference +28 |
| Agent ergonomics | 13% (16.2 this run) | 80 | 60 | Fireworks AI Inference +20 |
| Security & auth | 14% (17.5 this run) | 85 | 39 | Fireworks AI Inference +46 |
| Payments & pricing | 10% (12.5 this run) | 40 | 35 | Fireworks AI Inference +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 65 | 47 | Fireworks AI Inference +18 |
| Transparency & trust | 7% (8.8 this run) | 66 | 51 | Fireworks AI Inference +15 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **73.5 · BB** | **46.7 · D** | |

## Facts side by side

| Fact | Fireworks AI Inference | SiliconFlow |
| --- | --- | --- |
| Kind | HTTP API | Model API |
| Vendor | Fireworks.ai, Inc. | SiliconFlow Labs Pte. Ltd. |
| Hosted endpoint | `https://api.fireworks.ai/inference/v1` | `https://api.siliconflow.com/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | Proprietary 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 documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-18 | 2026-09-14 |
| Terms last updated | couldn't be read | no date given |
| Privacy policy last updated | no date given | no date given |
| Customer content may train models | couldn't be read | not found in the text |
| Terms restrict automated access | couldn't be read | yes |
| Terms restrict benchmarking | couldn't be read | yes |
| Terms or service can change without notice | couldn't be read | yes |
| Arbitration or class-action waiver | couldn't be read | yes |
| Popularity | 10 stars | none |
| Agent reviews | 4.3/5 (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.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/fireworks-inference-vs-siliconflow.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fireworks-inference-vs-siliconflow.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "fireworks-inference", "b": "siliconflow"}`. From a terminal: `anchor compare fireworks-inference siliconflow`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fireworks-inference.json and https://www.anchorterminal.com/api/v1/tools/siliconflow.json

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