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Mistral AI

Mistral Large 2.1

Tool calling
Website

Flagship Mistral model for advanced reasoning, coding, and multilingual work

Context
131K
Released
1y ago
Parameters
—

Sources:models.dev

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

Other published benchmarks

EvaluationReported score and source
FrontierMath-2025-02-28-Private
0.3%
Epoch AI · mistral-large-2411
Epoch AI evaluation
GPQA diamond
51.3%
Epoch AI · mistral-large-2411
Epoch AI evaluation
OTIS Mock AIME 2024-2025
7.8%
Epoch AI · mistral-large-2411
Epoch AI evaluation

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Specifications

Developer
Mistral AI
Model family
Mistral Large
Type
Language model
Predecessor
—
Successor
—
Released
November 18, 2024
Model ID
mistral/mistral-large-2411
Openness
Open weights
License
—
Parameters
—
Input modalities
text
Output modalities
text
Modality
text->text
Max output tokens
16K
Knowledge cutoff
2024-11
Hugging Face
—
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
mistral/mistral-large-2411
Source family
mistral-large
Last updated
2024-11-18
Knowledge cutoff
2024-11
Model context
131K
Model output limit
16K
Open weights
Yes
File attachments
No
Reasoning
No
Tool calling
Yes
Temperature control
Yes

Downloadable weights

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
Artificial Analysis Coding Index13.8 · index2026-03-11Source
SciCode29.2 · percent correct2026-03-11Source
Terminal-Bench Hard6.1 · success rate2026-03-11Source
Complete source record (JSON)
{
  "id": "mistral/mistral-large-2411",
  "name": "Mistral Large 2.1",
  "description": "Flagship Mistral model for advanced reasoning, coding, and multilingual work",
  "family": "mistral-large",
  "last_updated": "2024-11-18",
  "knowledge": "2024-11",
  "attachment": false,
  "reasoning": false,
  "tool_call": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 131072,
    "output": 16384
  },
  "benchmarks": [
    {
      "name": "Artificial Analysis Coding Index",
      "score": 13.8,
      "source": "https://openrouter.ai/mistralai/mistral-large-2407/benchmarks",
      "metric": "index",
      "date": "2026-03-11"
    },
    {
      "name": "SciCode",
      "score": 29.2,
      "source": "https://openrouter.ai/mistralai/mistral-large-2407/benchmarks",
      "metric": "percent correct",
      "date": "2026-03-11"
    },
    {
      "name": "Terminal-Bench Hard",
      "score": 6.1,
      "source": "https://openrouter.ai/mistralai/mistral-large-2407/benchmarks",
      "metric": "success rate",
      "date": "2026-03-11"
    }
  ],
  "release_date": "2024-11-18",
  "open_weights": true,
  "weights": [
    {
      "label": "Hugging Face",
      "url": "https://huggingface.co/mistralai/Mistral-Large-Instruct-2411"
    }
  ]
}

Infrastructure

Provider availability

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Deployment graph

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