Mistral AI, released Nov 18, 2024

Mistral Large 2.1price, context, benchmarks and release details

Provisional: not enough results to rank yet Open weights 100% confidence, 3 of 4 expected sources in

35.3

SI Score

#135 of 142 ranked models

Input, per 1M tokens: not yet reported
Output, per 1M tokens: not yet reported
Context window: 131K
Max output: 16.4K
Released: Nov 18, 2024

How the score breaks down

Coding 6.1

Math 36.1

Preference 58.1

Reasoning 51.3

Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 05:13 UTC.

Around it on the leaderboard

133 GPT-4o (2024-08-06) 36.7
134 Nova Lite 36.6
135 Mistral Large 2.1 35.3
136 Mistral Medium 3 33.0
137 Llama-3.3-70B-Instruct 32.7

Full leaderboard

Benchmark results

5 benchmarks, 5 results

Each row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.

GPQA Diamondreasoning 51.3% 51.3

MATH Level 5math 50.3% 50.3

OTIS Mock AIME 2024–2025math 7.8% 7.8

Terminal-Benchcoding 6.1% 6.1

LMArena Textpreference 1265.3 elo 58.1

Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.

Details and sources

Open weights: Yes
License: not yet reported
Input modalities: text
First seen by SuperIndex: Oct 8, 2026
Coverage: 81% of expected source weight

Reported (3)

Epoch AI BenchmarkingOct 8, 2026
Official model cards via models.devOct 8, 2026
LMArena / ArenaOct 8, 2026

Awaiting (1)

LiveBench19% of weight

Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.