MiniMax, released Oct 27, 2025

MiniMax-M2price, context, benchmarks and release details

Provisional: not enough results to rank yet Open weights 96% confidence, 3 of 4 expected sources in

55.7

SI Score

#84 of 142 ranked models

Input, per 1M tokens: $0.30
Output, per 1M tokens: $1.20
Context window: 205K
Max output: 131K
Released: Oct 27, 2025

How the score breaks down

Coding 64.5

Math —

Preference 66.8

Reasoning —

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

82 DeepSeek V3 0324 55.7
83 GPT-5 55.7
84 MiniMax-M2 55.7
85 GPT-5.1 55.7
86 Qwen3.6 27B 55.6

Full leaderboard

Benchmark results

2 benchmarks, 3 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.

SWE-bench Verifiedcoding 69.4% 69.4 2 settings

About SWE-bench Verified

LMArena Textpreference 1339.9 elo 66.8

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: 77% of expected source weight

Reported (3)

Official model cards via models.devOct 8, 2026
LMArena / ArenaOct 8, 2026
SWE-bench VerifiedOct 8, 2026

Awaiting (1)

LiveBench23% of weight

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