MiniMax M3 minimax-m3

minimax · minimax reasoning flagship agentic

#12 overall

params
427B
arch
moe
context
1024k
license
other open weights
released
Jun 2026
reasoning
yes
downloads/30d
201.1k

# architecture

attn shared · reasoning GQA 64q/4kv router top-4 of 128 +1 shared expert ×128 expert out ×60 layers ctx 1,048,576 427B pool
layers
60
d_model
6144
heads
64q / 4kv
head dim
128
experts
top-4 of 128 + 1 shared
vocab
200064
family
minimax_m3_vl

signal path of one layer, generated from the registry's structured fields — dimension lines quote the model's real numbers; an MoE trace forks at the router, a dense trace runs straight through. Geometry fields come from the repo's config.json.

# why ranked

Overall: #12 — score 86.4 ● high — all signals present

signalweightinput (0–100)
aa_intelligence 0.70 85.4
bench_composite 0.30 88.9

benchmark panel evidence:

complete panelscore (0–100)
aa-coding-v186.6
browsecomp-v1100.0
livebench-v180.0

Coding: provisional — score 76.5 ● 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 0.30 76.5
aider_polyglot 0.30 —
swe_bench_verified 0.40 —

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

full methodology

# trend

OGM score · last 106 days
OGM score over 106 days
overall rank (up is better)
Overall rank over 106 days

methodology changed during this history window; score movement across that boundary is not model movement. See methodology v6.

# benchmarks

benchmarkscoresourcedate
AA Coding Index 58.6 Artificial Analysis —
AA Intelligence Index 29.2 Artificial Analysis —
LiveBench Agentic Coding 40.7 LiveBench Jun 2026
LiveBench Coding 68.2 LiveBench Jun 2026
LiveBench Data Analysis 76.2 LiveBench Jun 2026
LiveBench IF 57.5 LiveBench Jun 2026
LiveBench Language 76.8 LiveBench Jun 2026
LiveBench Mathematics 76.9 LiveBench Jun 2026
LiveBench Reasoning 74.5 LiveBench Jun 2026
Apex-agents 0.3 / 1 LLM Stats —
Bankertoolbench 0.8 / 1 LLM Stats —
Browsecomp 0.8 / 1 LLM Stats —
Cl-bench 0.2 / 1 LLM Stats —
Claw-eval 0.7 / 1 LLM Stats —
Imo-2025 35.0 / 42 LLM Stats —
Usamo-2026 36.0 / 42 LLM Stats —
Yc-bench 2100000.0 / 10000000 LLM Stats —

# where to run

providerquantctx$/M in$/M out$/M cacheprice srctpsuptime✓
Featherless — ——— via hfrouter — —
Nebius — ——— nebius — — ✓
SiliconFlow — ——— siliconflow — — ✓
Vultr 512k $0.20$0.90— via modelsdev — —
CoreWeavefp4 256k $0.23$0.96$0.05 via openrouter — 97.9%
Wandb 262k $0.23$0.96— via litellm — —
GMICloudfp8 1024k $0.24$0.96$0.05 via openrouter — 99.8%
DeepInfrafp8 512k $0.28$1.10— deepinfra — 100.0% ✓
DeepInfrafp8 512k $0.28$1.10— deepinfra — 99.7% ✓
Aihubmix 1000k $0.29$1.15— via litellm — —
AtlasCloudfp8 524k $0.30$1.20— atlascloud — 99.9% ✓
Fireworks 500k $0.30$1.20$0.06 via requesty — —
Minimaxfp8 512k $0.30$1.20$0.06 via openrouter — 100.0%
Novitafp8 1000k $0.30$1.20— novita — 100.0% ✓
Opencode Go 1000k $0.30$1.20— via litellm — —
Parasailfp8 1024k $0.30$1.20$0.06 via openrouter — 99.5%
StreamLakefp8 1000k $0.30$1.20$0.06 via openrouter — 99.7%
Tencent 1000k $0.30$1.20— via litellm — —
Togetherunknown 512k $0.30$1.20$0.06 via openrouter — 100.0%
Venicefp8 512k $0.30$1.20— venice — 99.9% ✓
ModelRunfp8 1024k $0.30$1.30$0.05 via openrouter — 99.9%
Inferenceapis 512k $0.39$1.56— via litellm — —
Maraunknown 1024k $0.60$2.40— via openrouter — 60.0%
SambaNova 1024k $0.60$2.40$0.06 via modelsdev — —

sorted by blended price ((3·input + output) / 4 per 1M) · ✓ = the provider's own catalog confirms the offer · "via …" prices are what the aggregator routing the offer charges, not the provider's own list price

source aliases
aa
minimax-m3
arena
MiniMax-M3
openrouter
minimax/minimax-m3