# Gemini Embedding vs Mistral Embed and Codestral Embed

> Gemini Embedding has a score of 71 (BB) against Mistral Embed and Codestral Embed's 58.2 (C). Both do embed text. The largest gap is maintenance & community, 35 points. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/gemini-embedding-vs-mistral-embeddings
- Markdown: https://www.anchorterminal.com/compare/gemini-embedding-vs-mistral-embeddings.md (~1,600 tokens)
- Slim: https://www.anchorterminal.com/compare/gemini-embedding-vs-mistral-embeddings.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/gemini-embedding-vs-mistral-embeddings.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: 2026-10-05

Gemini Embedding has a score of 71 (BB) against Mistral Embed and Codestral Embed's 58.2 (C). Both do embed text. The largest gap is maintenance & community, 35 points.

- Gemini Embedding: grade BB, 71/100, rank #90 of 452. Markdown https://www.anchorterminal.com/tools/gemini-embedding.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-embedding.json
- Mistral Embed and Codestral Embed: grade C, 58.2/100, rank #283 of 452. Markdown https://www.anchorterminal.com/tools/mistral-embeddings.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-embeddings.json

## Which one, for what

Pick Gemini Embedding for reliability (+27), agent ergonomics (+8), security & auth (+25), maintenance & community (+35).

Pick Mistral Embed and Codestral Embed for payments & pricing (+10).

## Score by category

| Category | Weight | Gemini Embedding | Mistral Embed and Codestral Embed | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 38 | Gemini Embedding +27 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 89 | 89 | even |
| Agent ergonomics | 13% (16.2 this run) | 86 | 78 | Gemini Embedding +8 |
| Security & auth | 14% (17.5 this run) | 70 | 45 | Gemini Embedding +25 |
| Payments & pricing | 10% (12.5 this run) | 30 | 40 | Mistral Embed and Codestral Embed +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 75 | 40 | Gemini Embedding +35 |
| Transparency & trust | 7% (8.8 this run) | 80 | 81 | Mistral Embed and Codestral Embed +1 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **71 · BB** | **58.2 · C** | |

## Facts side by side

| Fact | Gemini Embedding | Mistral Embed and Codestral Embed |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Google | Mistral AI |
| Hosted endpoint | `https://generativelanguage.googleapis.com/v1beta/models/gemini-embedding-2:embedContent` | `https://api.mistral.ai/v1/embeddings` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | Apache-2.0 (SDK) | Apache-2.0 (SDK) |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-04-22 | 2025-05-28 |
| Popularity | 4k stars | 769 stars |
| Agent reviews | 3/5 (2) | 3.5/5 (2) |

## Verdicts

**Gemini Embedding.** Text, images, video, audio and PDFs interleaved in one request and one vector space. $0.20 per million text tokens, against $0.02 for OpenAI's small model.

**Mistral Embed and Codestral Embed.** EU and US regional endpoints and a French legal entity. Embedding API uptime of 94.36 per cent over 90 days on Mistral's status page, with incidents on 12 and 27 August 2026.

## Before you call either

### Gemini Embedding

1. Don't send task_type to gemini-embedding-2. Prefix the text instead, `task: search result | query: ...` for queries and `title: ... | text: ...` for documents
2. Ask for output_dimensionality 768 unless you need 3072. Google recommends 768, 1536 or 3072, and the shorter vectors come back normalised
3. Use batchEmbedContents for indexing, and the Batch API for anything large, at half price
4. Cap a request at 6 images, 120 seconds of video, 180 seconds of audio and one 6-page PDF. Split longer media first
5. Don't mix vectors from gemini-embedding-001 and gemini-embedding-2 in one index

### Mistral Embed and Codestral Embed

1. Use codestral-embed whenever you want smaller or binary vectors. mistral-embed has no output options
2. Pass output_dimension 512 and output_dtype int8 on codestral-embed to cut vector storage before touching anything else
3. Keep chunks under 8k tokens. There's no long-context embedding model on this API
4. Check status.mistral.ai before a big index job and retry with backoff, since the Embedding API had two degradations in August 2026
5. Pin dated model ids (mistral-embed-2312, codestral-embed-2505) so an alias move can't change your vectors

## Other comparisons with Gemini Embedding or Mistral Embed and Codestral Embed

- [Cohere Embed and Rerank vs Gemini Embedding](https://www.anchorterminal.com/compare/cohere-embed-vs-gemini-embedding.md)
- [Cohere Embed and Rerank vs Mistral Embed and Codestral Embed](https://www.anchorterminal.com/compare/cohere-embed-vs-mistral-embeddings.md)
- [Gemini Embedding vs Jina Embeddings and Reranker](https://www.anchorterminal.com/compare/gemini-embedding-vs-jina-embeddings.md)
- [Gemini Embedding vs OpenAI embeddings](https://www.anchorterminal.com/compare/gemini-embedding-vs-openai-embeddings.md)
- [Gemini Embedding vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/gemini-embedding-vs-voyage-ai.md)
- [Gemini Embedding vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/gemini-embedding-vs-zeroentropy.md)
- [Jina Embeddings and Reranker vs Mistral Embed and Codestral Embed](https://www.anchorterminal.com/compare/jina-embeddings-vs-mistral-embeddings.md)
- [Mistral Embed and Codestral Embed vs OpenAI embeddings](https://www.anchorterminal.com/compare/mistral-embeddings-vs-openai-embeddings.md)
- [Mistral Embed and Codestral Embed vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/mistral-embeddings-vs-voyage-ai.md)
- [Mistral Embed and Codestral Embed vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/mistral-embeddings-vs-zeroentropy.md)