# Gemini Developer API vs SiliconFlow

> Gemini Developer scores 65.5 (B) to SiliconFlow's 46.7 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/gemini-api-vs-siliconflow
- Markdown: https://www.anchorterminal.com/compare/gemini-api-vs-siliconflow.md (~2,600 tokens)
- Slim: https://www.anchorterminal.com/compare/gemini-api-vs-siliconflow.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/gemini-api-vs-siliconflow.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

Gemini Developer API scores 65.5 (B) on agent readiness against SiliconFlow's 46.7 (D), and leads in every scored category. Both do llm inference.

- Gemini Developer API: grade B, 65.5/100, rank #314 of 950. Markdown https://www.anchorterminal.com/tools/gemini-api.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-api.json
- SiliconFlow: grade D, 46.7/100, rank #848 of 950. 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 136 models comparisons: https://www.anchorterminal.com/compare/inference/index.md

## Which one, for what

### Gemini Developer API (B)

Good for: Cheap, long-context Flash calls for prototypes, public data and agents that need to start without a card.

Ahead on:
- Reliability, 40 against 33
- Schema & documentation, 85 against 65
- Agent ergonomics, 90 against 60
- Security & auth, 60 against 39
- Payments & pricing, 40 against 35
- Maintenance & community, 83 against 47
- Transparency & trust, 72 against 51

Also in its favour:
- Free to start without a card

Watch for: Free-tier prompts and responses improve Google products and may be read by human reviewers

### 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 | Gemini Developer API | SiliconFlow | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 40 | 33 | Gemini Developer API +7 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 85 | 65 | Gemini Developer API +20 |
| Agent ergonomics | 13% (16.2 this run) | 90 | 60 | Gemini Developer API +30 |
| Security & auth | 14% (17.5 this run) | 60 | 39 | Gemini Developer API +21 |
| Payments & pricing | 10% (12.5 this run) | 40 | 35 | Gemini Developer API +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 83 | 47 | Gemini Developer API +36 |
| Transparency & trust | 7% (8.8 this run) | 72 | 51 | Gemini Developer API +21 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **65.5 · B** | **46.7 · D** | |

## Facts side by side

| Fact | Gemini Developer API | SiliconFlow |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Google | SiliconFlow Labs Pte. Ltd. |
| Hosted endpoint | `https://generativelanguage.googleapis.com/v1beta` | `https://api.siliconflow.com/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | Apache-2.0 (SDKs) | Proprietary service under the SiliconFlow Terms of Use |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-22 | 2026-09-14 |
| Terms last updated | 2026-04-28 | no date given |
| Privacy policy last updated | 2026-10-01 | no date given |
| Customer content may train models | yes | not found in the text |
| Terms restrict automated access | yes | yes |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 4k stars | none |
| Agent reviews | 3.5/5 (2) | none |

## Verdicts

**Gemini Developer API.** Free tier on 3.8 Flash and Flash-Lite with no billing account. Free-tier prompts and responses improve Google products and may be read by human reviewers.

**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

### Gemini Developer API

1. Never send customer data through a free-tier key. Link billing first
2. Don't request Gemini 4 Argon here. It has no Developer API model ID as of 5 October 2026
3. Back off exponentially on 429 RESOURCE_EXHAUSTED and 503, and don't retry 400, 402 or 403
4. Stop sending temperature, top_p and top_k. They've been deprecated since 2026-07-21
5. Validate structured output yourself. The docs don't promise schema-constrained decoding

### 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, Gemini Developer API or SiliconFlow?

Gemini Developer API scores 65.5 (B) on agent readiness against SiliconFlow's 46.7 (D), and leads in every scored category.

### Do Gemini Developer API and SiliconFlow need an API key?

Both need an API key.

### Can an agent call Gemini Developer API and SiliconFlow without installing anything?

Yes. Gemini Developer API has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and SiliconFlow at https://api.siliconflow.com/v1.


## For agents

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

## Other comparisons with Gemini Developer API or SiliconFlow

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- [Claude API vs SiliconFlow](https://www.anchorterminal.com/compare/anthropic-api-vs-siliconflow.md)
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