Mistral AI model product
Magistral Medium is a reasoning model trained with reinforcement learning on top of Mistral Medium 3 for complex math and code tasks.
Updated Sep 8, 2026. Default version: Magistral Medium
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Magistral Medium.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAider-Polyglot | Score47.10% | Rank18 | Participants22 | Percentile19.05% | EvidenceC | Evaluated |
| BenchmarkAIME 2024 | Score73.60% | Rank36 | Participants53 | Percentile32.69% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score50.30% | Rank46 | Participants75 | Percentile39.19% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score9.00% | Rank93 | Participants103 | Percentile9.80% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score64.90% | Rank97 | Participants119 | Percentile18.64% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score70.80% | Rank136 | Participants247 | Percentile45.12% | EvidenceC | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,304.39 rating | Rank179 | Participants210 | Percentile14.83% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text | Score1,254.64 rating | Rank186 | Participants210 | Percentile11.48% | EvidenceA | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext style control | Categorypolish | Rank138 | Rating / score1,312.37 | Votes1,614 | ObservationsN/A | Result date |
| Arenatext style control | Categorygerman | Rank145 | Rating / score1,307.50 | Votes361 | ObservationsN/A | Result date |
| Arenatext | Categorypolish | Rank146 | Rating / score1,247.62 | Votes1,614 | ObservationsN/A | Result date |
| Arenatext style control | Categorycoding | Rank147 | Rating / score1,386.86 | Votes2,233 | ObservationsN/A | Result date |
| Arenatext style control | Categoryspanish | Rank147 | Rating / score1,318.20 | Votes268 | ObservationsN/A | Result date |
| Arenatext style control | Categoryjapanese | Rank149 | Rating / score1,222.55 | Votes340 | ObservationsN/A | Result date |
| Arenatext | Categoryjapanese | Rank150 | Rating / score1,174.34 | Votes340 | ObservationsN/A | Result date |
| Arenatext | Categoryspanish | Rank151 | Rating / score1,269.09 | Votes268 | ObservationsN/A | Result date |
| Arenatext style control | Categoryfrench | Rank153 | Rating / score1,325.91 | Votes183 | ObservationsN/A | Result date |
| Arenatext | Categoryfrench | Rank156 | Rating / score1,268.01 | Votes183 | ObservationsN/A | Result date |
| Arenatext | Categorycoding | Rank157 | Rating / score1,319.15 | Votes2,233 | ObservationsN/A | Result date |
| Arenatext style control | Categorylonger query | Rank157 | Rating / score1,336.05 | Votes2,392 | ObservationsN/A | Result date |
| Arenatext | Categorygerman | Rank158 | Rating / score1,248.59 | Votes361 | ObservationsN/A | Result date |
| Arenatext style control | Categoryhard prompts english | Rank161 | Rating / score1,351.47 | Votes2,385 | ObservationsN/A | Result date |
| Arenatext | Categorylonger query | Rank163 | Rating / score1,294.44 | Votes2,392 | ObservationsN/A | Result date |
| Arenatext style control | Categoryhard prompts | Rank163 | Rating / score1,331.83 | Votes5,615 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry entertainment and sports and media | Rank163 | Rating / score1,287.00 | Votes1,962 | ObservationsN/A | Result date |
| Arenatext style control | Categorykorean | Rank165 | Rating / score1,190.89 | Votes194 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry software and it services | Rank166 | Rating / score1,350.68 | Votes3,990 | ObservationsN/A | Result date |
| Arenatext | Categorykorean | Rank168 | Rating / score1,124.92 | Votes194 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry medicine and healthcare | Rank169 | Rating / score1,334.23 | Votes777 | ObservationsN/A | Result date |
| Arenatext style control | Categoryinstruction following | Rank169 | Rating / score1,300.09 | Votes3,096 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts english | Rank170 | Rating / score1,284.54 | Votes2,385 | ObservationsN/A | Result date |
| Arenatext style control | Categorymath | Rank170 | Rating / score1,284.71 | Votes550 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry mathematical | Rank171 | Rating / score1,289.79 | Votes570 | ObservationsN/A | Result date |
| Arenatext style control | Categorymulti turn | Rank171 | Rating / score1,311.73 | Votes1,606 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts | Rank173 | Rating / score1,266.59 | Votes5,615 | ObservationsN/A | Result date |
| Arenatext | Categorycreative writing | Rank174 | Rating / score1,245.01 | Votes1,342 | ObservationsN/A | Result date |
| Arenatext | Categoryinstruction following | Rank174 | Rating / score1,253.43 | Votes3,096 | ObservationsN/A | Result date |
| Arenatext style control | Categorycreative writing | Rank174 | Rating / score1,279.74 | Votes1,342 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
The default version has no current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Magistral Medium. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionMagistral Medium | Released | LLMBoard17.96 | Parameters24B | ContextN/A | Max outputN/A | Open weightsNo | LicenseApache 2.0 |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Magistral Medium and its available data.
Magistral Medium is a reasoning model from Mistral AI, trained solely with reinforcement learning on top of Mistral Medium 3 without distillation from existing reasoning models. Its training uses an RLVR framework with modifications to GRPO to improve reasoning ability and multilingual consistency.
Data as of 2026-09-08.
Common questions about Magistral Medium.
Magistral Medium's default version was released on Jun 10, 2025.
No official standard PAYG price is currently available for Magistral Medium.
Magistral Medium was created by Mistral AI.
A context window is not available for the default version.
No. The default version is not marked as having publicly available weights.
No provider offering is currently linked to the default version.