Ministral 8B benchmarks, pricing and specs
Ministral 8B is a Mistral AI model released on October 16, 2024 that takes text input and produces text. It is now listed as a legacy model. Its price is not published and accepts up to 128,000 tokens of context. It scores 1238 Elo on Arena Text (Arena, measured October 8, 2026).
- Context window
- 128K
- Arena Text
- 1238 Elo
Data verified October 12, 2026 · Dataset 2026-10-12
Key facts
- Provider
- Mistral AI
- Model family
- Ministral
- Release date
- October 16, 2024
- Status
- Legacy
- Access
- API and open weights
- API model id
- Not reported
- Context window
- 128,000 tokens
- Max output
- Not reported
- Input
- text
- Output
- text
- Task families
- text
- Declared capabilities
- reasoning
Ministral 8B pricing
Independent benchmark results
Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Mistral AI's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.
| Benchmark | Score | Rank | Measured | Source |
|---|---|---|---|---|
| Arena Text | 1238 Elo | Not ranked | October 8, 2026 | Arena · 2026-10-12 |
| GPQA Diamond | 27.1% | Not ranked | October 12, 2026 | Epoch AI · 2026-10-12 |
Strengths, cautions and best uses
Strengths
- Ministral 8B records both API and open-weight access for text inputs and a published 128,000-token context window
Cautions
- This record is marked legacy; confirm current availability and migration requirements before adoption
Best for
- Historical compact open-weight or API text deployments
Alternatives to Ministral 8B
The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.
DeepSeek-R1
- 160 points higher on Arena Text, 1398 vs 1238
- From DeepSeek
Gemini 2.5 Pro
- 207 points higher on Arena Text, 1445 vs 1238
- 1.05M context window vs 128K
- From Google
GPT-4.1
- 177 points higher on Arena Text, 1415 vs 1238
- 1.05M context window vs 128K
- From OpenAI
GPT-4.1 mini
- 145 points higher on Arena Text, 1383 vs 1238
- 1.05M context window vs 128K
- From OpenAI
Ministral 8B FAQ
What is the context window of Ministral 8B?
Ministral 8B accepts up to 128,000 tokens of context. That ranks #40 of 45 current text models by context length.
How does Ministral 8B score on independent benchmarks?
Ministral 8B scores 1238 Elo on Arena Text (Arena, measured October 8, 2026) and 27.1% on GPQA Diamond (Epoch AI, measured October 12, 2026). These are independent evaluations, not Mistral AI's own launch figures.
Is Ministral 8B open source or API only?
Ministral 8B is available both through Mistral AI's API and as open weights you can run yourself.
What are the best alternatives to Ministral 8B?
The closest current alternatives by price and measured performance are DeepSeek-R1 (160 points higher on Arena Text, 1398 vs 1238), Gemini 2.5 Pro (207 points higher on Arena Text, 1445 vs 1238), GPT-4.1 (177 points higher on Arena Text, 1415 vs 1238) and GPT-4.1 mini (145 points higher on Arena Text, 1383 vs 1238).
Sources
- Un Ministral, des Ministraux · Mistral AI · official · verified August 6, 2026
- Mistral AI pricing · Mistral AI · official · verified August 6, 2026
- Epoch AI Benchmarking Hub data (benchmark_data.zip) · Epoch AI · independent · verified October 12, 2026 · CC-BY-4.0
- Arena leaderboard dataset (lmarena-ai/leaderboard-dataset) · Arena · independent · verified October 12, 2026 · CC-BY-4.0
Cite this page
Van Data Team. "Ministral 8B Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/ministral-8b
Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.
Production evaluation
Deciding whether Ministral 8B fits your workload?
Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- Evaluation cases and acceptance thresholds tied to real work
- Model routing, fallbacks and cost controls
