Mistral AI model product
A balanced model in the Ministral 3 family, Ministral 3 14B is a powerful, efficient tiny language model with vision capabilities.
Updated Aug 17, 2026. Default version: Ministral 3 (8B Reasoning 2512)
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Ministral 3 (8B Reasoning 2512).
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAIME 2024 | Score86.0% | Rank16 | Participants53 | Percentile71.2% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score61.6% | Rank35 | Participants75 | Percentile54.0% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score78.7% | Rank72 | Participants115 | Percentile37.7% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score66.8% | Rank144 | Participants239 | Percentile39.9% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderMistral | Provider model IDministral-8b-latest | Regionglobal | Input / 1M$0.10 | Output / 1M$0.10 | 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 Ministral 3 (8B Reasoning 2512). Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderMistral AI | Output Speed237.5 tok/s | Catalog Latency0.34 s | Max Input262.1K | Max Output262.1K | Updated |
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 |
|---|
| VersionMinistral 3 (14B Reasoning 2512) | Released | LLMBoardN/A | Parameters14B | Context262.1K | Max output262.1K | Open weightsNo | LicenseApache 2.0 |
| VersionMinistral 3 (14B Base 2512) | Released | LLMBoardN/A | Parameters14B | ContextN/A | Max outputN/A | Open weightsNo | LicenseApache 2.0 |
| VersionMiniStral 3 (14B Instruct 2512) | Released | LLMBoardN/A | Parameters14B | ContextN/A | Max outputN/A | Open weightsNo | LicenseApache 2.0 |
| VersionMinistral 3 (3B Base 2512) | Released | LLMBoardN/A | Parameters3B | ContextN/A | Max outputN/A | Open weightsNo | LicenseApache 2.0 |
| VersionMinistral 3 (3B Instruct 2512) | Released | LLMBoardN/A | Parameters3B | ContextN/A | Max outputN/A | Open weightsNo | LicenseApache 2.0 |
| VersionMinistral 3 (8B Base 2512) | Released | LLMBoardN/A | Parameters8B | ContextN/A | Max outputN/A | Open weightsNo | LicenseApache 2.0 |
| VersionMinistral 3 (8B Instruct 2512) | Released | LLMBoardN/A | Parameters8B | ContextN/A | Max outputN/A | Open weightsNo | LicenseApache 2.0 |
| VersionMinistral 3 (8B Reasoning 2512) | Released | LLMBoard28.3 | Parameters8B | Context262.1K | Max output262.1K | Open weightsNo | LicenseApache 2.0 |
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Ministral 3 and its available data.
A balanced model in the Ministral 3 family, Ministral 3 14B is a powerful, efficient tiny language model with vision capabilities. This model is the reasoning post-trained version, trained for reasoning tasks, making it ideal for math, coding and stem related use cases.
The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware. Ministral 3 14B can even be deployed locally, capable of fitting in 24GB of VRAM in BF16, and less than 12GB of RAM/VRAM when quantized.
Data as of 2026-08-17.
Common questions about Ministral 3.
Ministral 3's default version was released on Dec 4, 2025.
Ministral 3's official API price is $0.10 per million input tokens and $0.10 per million output tokens via Mistral.
Ministral 3 was created by Mistral AI.
The default version has a 262.1K token context window.
No. The default version is not marked as having publicly available weights.
1 provider offerings are linked to the default version.
Nearby ranked alternatives include Llama 3.1 Nemotron Ultra 253B, Kimi k1.5, Gemini 2.0 Flash Thinking.