Rank #35
Mistral: Ministral 3 8B 2512 (batch)
- Multimodal
- 262k ctx
- 1M
- $0.07
Model · Vendors
Mistral
Ranked models from this vendor or team on Global rankings (same data snapshot as the main global board).
Board snapshot:
About this vendor
Mistral AI builds open and commercial Mistral, Mixtral, and Codestral models balancing European deployment needs with strong coding and MoE efficiency. AI Hippo lists all Mistral SKUs with Global Rankings scores, context windows, and snapshot OpenRouter pricing—Compare against Llama, GPT, and DeepSeek lines.
Vendor snapshot
Catalog models 25
Ranked on Global board 1
Best rank #35
Price range (avg/1M) $0.02–$4.50/1M
Max context 262k ctx
Model types
Origins
Top ranked models
Models on this board · Global rankings
| Rank | Name | Type | Key metric | 1M tokens (avg) |
|---|---|---|---|---|
| 35 | Mistral: Ministral 3 8B 2512 (batch) | Multimodal | 262k ctx | $0.07 |
Catalog models (not in ranking)
| Rank | Name | Size | Price | Notes |
|---|---|---|---|---|
| — | Mistral Large | 128k ctx | $4.00/1M | mistralai/mistral-large |
| — | Mistral Large 2407 | 131k ctx | $4.00/1M | mistralai/mistral-large-2407 |
| — | Mistral: Codestral 2508 | 256k ctx | $0.60/1M | mistralai/codestral-2508 |
| — | Mistral: Codestral 2508 (batch) | 256k ctx | $0.30/1M | mistralai/codestral-2508:batch |
| — | Mistral: Devstral 2 2512 | 262k ctx | $1.20/1M | mistralai/devstral-2512 |
| — | Mistral: Ministral 3 14B 2512 | 262k ctx | $0.20/1M | mistralai/ministral-14b-2512 |
| — | Mistral: Ministral 3 3B 2512 | 131k ctx | $0.10/1M | mistralai/ministral-3b-2512 |
| — | Mistral: Ministral 3 8B 2512 | 262k ctx | $0.15/1M | mistralai/ministral-8b-2512 |
| — | Mistral: Ministral 3 8B 2512 (batch) | 262k ctx | $0.07/1M | mistralai/ministral-8b-2512:batch |
| — | Mistral: Mistral Large 3 2512 | 262k ctx | $1.00/1M | mistralai/mistral-large-2512 |
| — | Mistral: Mistral Large 3 2512 (batch) | 262k ctx | $0.50/1M | mistralai/mistral-large-2512:batch |
| — | Mistral: Mistral Medium 3 | 131k ctx | $1.20/1M | mistralai/mistral-medium-3 |
| — | Mistral: Mistral Medium 3.1 | 131k ctx | $1.20/1M | mistralai/mistral-medium-3.1 |
| — | Mistral: Mistral Medium 3.1 (batch) | 131k ctx | $0.60/1M | mistralai/mistral-medium-3.1:batch |
| — | Mistral: Mistral Medium 3.5 | 262k ctx | $4.50/1M | mistralai/mistral-medium-3-5 |
| — | Mistral: Mistral Medium 3.5 (batch) | 262k ctx | $2.25/1M | mistralai/mistral-medium-3-5:batch |
| — | Mistral: Mistral Nemo | 131k ctx | $0.02/1M | mistralai/mistral-nemo |
| — | Mistral: Mistral Small 3 | 33k ctx | $0.07/1M | mistralai/mistral-small-24b-instruct-2501 |
| — | Mistral: Mistral Small 3.1 24B | 128k ctx | $0.45/1M | mistralai/mistral-small-3.1-24b-instruct |
| — | Mistral: Mistral Small 3.2 24B | 256k ctx | $0.17/1M | mistralai/mistral-small-3.2-24b-instruct |
| — | Mistral: Mistral Small 4 | 262k ctx | $0.38/1M | mistralai/mistral-small-2603 |
| — | Mistral: Mistral Small 4 (batch) | 262k ctx | $0.19/1M | mistralai/mistral-small-2603:batch |
| — | Mistral: Mixtral 8x22B Instruct | 66k ctx | $4.00/1M | mistralai/mixtral-8x22b-instruct |
| — | Mistral: Saba | 33k ctx | $0.40/1M | mistralai/mistral-saba |
| — | Mistral: Voxtral Small 24B 2507 | 33k ctx | $0.20/1M | mistralai/voxtral-small-24b-2507 |
Data sources & methodology
Counts and prices come from the OpenRouter catalog snapshot merged with AI Hippo Global rankings (same snapshot as /rankings/). Rank reflects the composite score on that board—not LMSYS Chatbot Arena ELO. Snapshot date: 2026-09-30. Methodology
FAQ
What is Mistral's highest-ranked model?
Mistral: Ministral 3 8B 2512 (batch) currently ranks #35 on AI Hippo's Global rankings board (snapshot 2026-09-30).
What does Mistral charge per 1M tokens?
Across catalog and ranked rows, blended 1M-token prices range from $0.02 to $4.50 in the latest snapshot (2026-09-30). Check individual model pages for prompt vs completion splits.
How many Mistral models are ranked vs catalog-only?
1 of 25 catalog models appear on Global rankings; the remaining 24 are listed under catalog-only on this page.
How is the Global rankings score calculated?
Global rankings uses on-site weighting (context window first, then blended 1M-token price)—not third-party ELO. Full methodology: /en/methodology/