Mistral AI model product
1 (2503).
Updated Oct 23, 2026. Default version: Magistral Small 2506
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Magistral Small 2506.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAIME 2024 | Score70.68% | Rank41 | Participants54 | Percentile24.53% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score51.30% | Rank46 | Participants76 | Percentile40.00% | EvidenceC | Evaluated |
| BenchmarkAA AIME 2025 | Score41.33% | Rank60 | Participants96 | Percentile37.89% | EvidenceB | EvaluatedN/A |
| BenchmarkAIME 2025 | Score62.76% | Rank103 | Participants122 | Percentile15.70% | EvidenceC | Evaluated |
| BenchmarkAA CritPt | Score0.00% | Rank130 | Participants200 | Percentile35.18% | EvidenceB | EvaluatedN/A |
| BenchmarkAA HLE Text No Tools | Score7.55% | Rank136 | Participants200 | Percentile32.16% | EvidenceB | EvaluatedN/A |
| BenchmarkAA Omniscience Accuracy | Score18.02% | Rank140 | Participants201 | Percentile30.50% | EvidenceB | EvaluatedN/A |
| BenchmarkAA GPQA Diamond | Score64.14% | Rank149 | Participants199 | Percentile25.25% | EvidenceB | EvaluatedN/A |
| BenchmarkGPQA | Score68.18% | Rank156 | Participants256 | Percentile39.22% | EvidenceC | Evaluated |
| BenchmarkAA IFBench | Score24.76% | Rank162 | Participants168 | Percentile3.59% | EvidenceB | EvaluatedN/A |
| BenchmarkAA LCR v1.1 | Score0.00% | Rank181 | Participants193 | Percentile6.25% | EvidenceB | EvaluatedN/A |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenavision | Categorycreative writing | Rank21 | Rating / score1,185.31 | Votes442 | ObservationsN/A | Result date |
| Arenavision style control | Categorycreative writing | Rank21 | Rating / score1,186.90 | Votes442 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNvidia | Provider model IDmistralai/magistral-small-2506 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context32.8K | Updated |
| ProviderIO.NET | Provider model IDmistralai/Magistral-Small-2506 | Regionglobal | Input / 1M$0.50 | Output / 1M$1.5 | Context128K | Updated |
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 Small 2506. 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 Small 2506 | Released | LLMBoard17.45 | Parameters24B | ContextN/A | Max outputN/A | Open weightsYes | LicenseApache 2.0 |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Magistral Small and its available data.
Magistral Small is a large language model from Mistral AI with added reasoning capabilities, trained using supervised fine-tuning from Magistral Medium traces and reinforcement learning. Once quantized, it can be deployed locally on a single RTX 4090 or a MacBook with 32GB of RAM.
Data as of 2026-10-22.
Common questions about Magistral Small.
Magistral Small's default version was released on Jun 10, 2025.
No official standard PAYG price is currently available for Magistral Small. The lowest tracked third-party offer starts at $0.50 input and $1.5 output via IO.NET.
Magistral Small was created by Mistral AI.
A context window is not available for the default version.
Yes. The default version is marked as open weight under Apache 2.0.
2 provider offerings are linked to the default version.