MiniMax M2 minimax-m2

minimax · minimax reasoning agentic efficient

#26 overall #7 agentic

params
229B (A10B)
arch
moe
context
200k
license
mit open weights
released
Oct 2025
reasoning
yes
downloads/30d
113.6k

# why ranked

Overall: #26 — score 28.4 ● medium — one signal missing, weights renormalized

signalweightinput (0–100)
aa_intelligence 0.50 28.3
arena_elo 0.30
bench_composite 0.20 28.8

missing signals are dropped and the remaining weights renormalized — never imputed.

Coding: provisional — score 57.1 ● low — a single signal; treat with caution

provisional: too few independent signals for a numbered position — the score is shown, but this model sorts after every ranked model.

signalweightinput (0–100)
aa_coding 0.25
aider_polyglot 0.25
arena_elo_code 0.15
swe_bench_verified 0.35 57.1

missing signals are dropped and the remaining weights renormalized — never imputed.

Agentic: #7 — score 57.1 ● low — a single signal; treat with caution

signalweightinput (0–100)
swe_bench_verified 1.00 57.1

full methodology

# trend

OGM score · last 2 days
OGM score over 2 days
overall rank (up is better)
Overall rank over 2 days

# benchmarks

benchmarkscoresourcedate
AA Intelligence Index 28.3 Artificial Analysis
AA Math Index 78.3 Artificial Analysis
Aa-index 0.6 / 1 LLM Stats
AIME 2025 0.8 / 1 LLM Stats
Browsecomp 0.4 / 1 LLM Stats
Browsecomp-zh 0.5 / 1 LLM Stats
SWE-bench Verified 61.0 SWE-bench Nov 2025

# where to run

providerquantctx$/M in$/M out$/M blendtpsuptime
Minimaxfp8 200k $0.26$1.02$0.45
Googleunknown 192k $0.30$1.20$0.52
Novitafp8 200k $0.30$1.20$0.52

blended = (3·input + output) / 4 per 1M tokens · cheapest first

# variants

MiniMax M2.1 MiniMax M2.5 MiniMax M2.7

source aliases
aa
minimax-m2
arena
MiniMax-M2
openrouter
minimax/minimax-m2