Mistral AI
Model Categories
Pricing Range — $/1M input tokens
Open Source Ratio
All Mistral AI Models29 total
| #▲ | Model | Avg | aider edit | aider poly? | ANLI? | APEX-Agents? | ARC AI2? | ARC-AGI? | ARC-AGI-2? | aa agentic? | aa coding ? | aa quality | seal audio | seal audio | seal audio | Balrog? | BBH? | hf bbh | C-Eval | CadEval? | charxiv re? | charxiv re? | arena elo | arena elo | chess puzz? | CMMLU | CSQA2 | Cybench? | deepresear? | EnigmaEval | fiction li? | Fortress | frontierma? | frontierma? | GeoBench? | GPQA | GPQA diamond? | graphwalks? | GSM8K? | GSO-Bench? | HellaSwag? | HELM · GPQA | helm ifeva | helm mmlu | helm omni | helm wildb | HLE? | hle tools | seal human | seal human | IFEval | jp jcommon | JHumanEval | JMMLU | JNLI | JSQuAD | LAMBADA? | lech mazur? | livebench | livebench | livebench | livebench | livebench | livebench | livebench | livebench | jp overall | MASK | MATH level 5? | MATH Level 5 | MCP Atlas | MMLU? | MMLU-PRO | MMMLU | mmmlu ar | mmmlu bn | mmmlu zh | mmmlu fr | mmmlu de | mmmlu hi | mmmlu id | mmmlu it | mmmlu ja | mmmlu ko | mmmlu pt | mmmlu es | mmmlu sw | mmmlu yo | seal multi | MultiNRC | MUSR | OpenBookQA? | oc aime202 | oc gpqa di | oc hle | oc ifeval | oc livecod | oc mmlu pr | OSWorld? | otis mock ? | PIQA? | posttrainb | seal pro r | seal pro r | seal prope | seal remot | ScienceQA? | SciPredict | SimpleBench? | simpleqa v? | seal swe a | seal swe a | swe bench | swe bench | swe bench | seal swe b | seal swe b | swe bench ? | swe bench ? | terminal b? | the agent ? | TriviaQA? | TutorBench | USAMO | VideoMME? | VISTA | seal visua | VPCT? | WeirdML? | Winogrande? | $/1M in | Context | Released |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 66.8 | - | - | 32.8 | - | 83.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 7.5 | - | 74.4 | - | 82.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 9.9 | - | - | 60.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 81.1 | - | - | - | - | - | - | - | - | 67.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 82.2 | - | - | - | - | - | - | - | 54.4 | $0.54 | 33K | Dec 232y ago | |
| 2 | 48.9 | - | - | 20.6 | - | 71.5 | - | - | - | - | - | - | - | - | - | 41.5 | 22.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 5.6 | - | - | 54.4 | - | 74.7 | - | - | - | - | - | - | - | - | - | 23.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 3.0 | - | 50.0 | 22.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 10.7 | 73.1 | - | - | - | - | - | - | - | - | 66.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 75.2 | - | - | - | - | - | - | - | 50.6 | N/A | - | Sep 232y ago | |
| 3 | 41.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 0.3 | - | - | - | 46.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 81.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 32.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.40 | 131K | May 251y ago | |
| 4 | 37.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | 17.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 6.5 | - | 84.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 10.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 67.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.02 | 131K | Jul 241y ago | |
| 5 | 35.7 | 65.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1304.7 | - | - | - | - | - | - | - | - | 0.3 | - | - | - | 35.1 | - | - | - | - | 43.5 | 87.6 | 59.9 | 28.1 | 80.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 50.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 7.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $2.00 | 131K | Nov 241y ago | |
| 6 | 34.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1313.3 | - | - | - | - | - | - | - | - | - | - | - | - | 32.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 69.0 | - | - | - | - | - | - | - | - | - | - | 44.8 | - | - | 73.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 8.4 | - | - | - | - | - | - | - | - | 7.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $2.00 | 131K | Nov 241y ago | |
| 7 | 31.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 43.3 | 66.8 | 39.1 | 13.5 | 45.7 | 52.5 | 41.2 | 27.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.40 | 262K | Dec 255mo ago | |
| 8 | 29.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 22.9 | - | - | - | - | - | 1148.3 | - | - | - | - | - | - | - | - | - | - | - | 3.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 55.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 3.0 | - | - | 19.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 7.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | N/A | - | Dec 232y ago | |
| 9 | 26.8 | 60.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 0.3 | - | - | - | 18.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 69.0 | - | - | - | - | - | - | - | - | - | - | 24.5 | - | - | 58.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1.9 | - | - | - | - | - | - | - | - | 7.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $2.00 | 128K | Feb 242y ago | |
| 10 | 24.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 7.5 | - | - | - | - | - | - | - | - | 12.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 24.2 | - | - | 70.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 3.2 | - | $2.00 | 66K | Apr 242y ago | |
| 11 | 22.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 39.2 | 75.0 | 61.0 | 24.8 | 78.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.35 | 128K | Mar 251y ago | |
| 12 | 18.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 7.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 44.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 2.3 | - | - | 15.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 6.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.11 | 3K | Sep 232y ago |
About Mistral AI
Quick answers · sourced from our data
How many models does Mistral AI have?
BenchGecko tracks 29 models from Mistral AI, of which 29 (100%) are open source. Every entry is updated daily from live provider feeds.
What is the best model from Mistral AI?
Mixtral 8x7B Instruct is currently the highest scoring Mistral AI model we track, with an average benchmark score of 57.8. Scores are computed across every public benchmark we have data for.
What is the cheapest Mistral AI model?
The cheapest Mistral AI model on BenchGecko starts at $0.02 per 1M input tokens. Pricing is pulled from OpenRouter and cross-checked against official provider rate cards.
How does Mistral AI compare on benchmarks?
Mistral AI models average 29.4 across the benchmarks we track · see the All Providers page for the full ranking by model count, open source ratio, and average score.
Where is Mistral AI based?
Mistral AI is headquartered in France. BenchGecko groups providers by region to make it easy to compare US, EU, China, and Rest of World markets.
Is Mistral AI open source?
Every Mistral AI model we track is open source (29 of 29).