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MiniMax · Released Oct 23, 2025

MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general…

ReasoningOpen weights
Compare in showdown → OpenRouter ↗ All MiniMax models
Released
Oct 23 2025
Context window
205K 131K out
Input / 1M tokens
$0.26
Output / 1M tokens
$1.02

Where to run it

2 providers compared

Cheapest: Minimax at $0.26 / $1.02 per 1M input / output tokens — 15% less than the priciest option.

ProviderInputOutputContextMax outputUptimevs. best
MinimaxFP8 $0.26 $1.02 205K131K99.9%24h Cheapest
Google $0.30 $1.20 197K177K100%24h +18%

Value

Price vs. performance

2 models score higher for the same price or lesson Terminal-Bench, e.g. GPT-5.1-Codex-Mini.
3.4%30.5%57.6%84.7% $0.01$0.10$1.00$10.00$100.00 Qwen3.6 35B A3B (Qwen) — 24.6% · $0.10/1M in GPT-5.5 (OpenAI) — 84.7% · $5.00/1M in Claude Opus 4.7 (Anthropic) — 80.2% · $5.00/1M in Grok 4.20 (xAI) — 57.3% · $1.25/1M in Qwen3.5-9B (Qwen) — 9.2% · $0.10/1M in GPT-5.4 (OpenAI) — 81.8% · $2.50/1M in GPT-5.3-Codex (OpenAI) — 78.4% · $1.75/1M in Gemini 3.1 Pro Preview (Google) — 80.2% · $2.00/1M in Claude Sonnet 4.6 (Anthropic) — 53.4% · $3.00/1M in GLM 5 (Z.ai) — 52.4% · $0.60/1M in Claude Opus 4.6 (Anthropic) — 79.8% · $5.00/1M in Kimi K2.5 (Moonshot AI) — 43.2% · $0.50/1M in GPT-5.2-Codex (OpenAI) — 66.5% · $1.75/1M in GLM 4.7 (Z.ai) — 33.4% · $0.54/1M in Gemini 3 Flash Preview (Google) — 64.3% · $0.50/1M in GPT-5.2 (OpenAI) — 64.9% · $1.75/1M in GPT-5.1-Codex-Max (OpenAI) — 60.5% · $1.25/1M in DeepSeek V3.2 (DeepSeek) — 39.6% · $0.28/1M in Claude Opus 4.5 (Anthropic) — 63.1% · $5.00/1M in GPT-5.1 (OpenAI) — 47.6% · $1.25/1M in GPT-5.1-Codex (OpenAI) — 57.8% · $1.25/1M in GPT-5.1-Codex-Mini (OpenAI) — 61.6% · $0.25/1M in Kimi K2 Thinking (Moonshot AI) — 35.7% · $0.60/1M in Claude Haiku 4.5 (Anthropic) — 35.5% · $1.00/1M in GLM 4.6 (Z.ai) — 24.5% · $0.55/1M in Claude Sonnet 4.5 (Anthropic) — 46.5% · $3.00/1M in DeepSeek V3.2 Exp (DeepSeek) — 39.6% · $0.27/1M in GPT-5 (OpenAI) — 49.6% · $1.25/1M in GPT-5 Mini (OpenAI) — 34.8% · $0.25/1M in GPT-5 Nano (OpenAI) — 21.8% · $0.05/1M in gpt-oss-120b (OpenAI) — 18.7% · $0.15/1M in gpt-oss-20b (OpenAI) — 3.4% · $0.018/1M in Claude Opus 4.1 (Anthropic) — 38.0% · $15.00/1M in Gemini 2.5 Flash (Google) — 17.1% · $0.30/1M in Gemini 2.5 Pro (Google) — 32.6% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 32.6% · $1.25/1M in MiniMax M2.7 (MiniMax) — 45.1% · $0.30/1M in MiniMax M2.5 (MiniMax) — 42.7% · $0.27/1M in MiniMax M2.1 (MiniMax) — 36.6% · $0.30/1M in MiniMax M2 (MiniMax) — 30.0% · $0.26/1M in MiniMax M2

MiniMax M2 Other MiniMax Other labs Value frontier · Terminal-Bench vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

3 benchmark scores

BenchmarkScoreRankLeader
Terminal-BenchSoftware engineering · Tasks completed with the programs in a real terminal (best agent) 30.0% #33of 40 GPT-5.584.7%
Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) $161 #55of 61 GPT-6 Astra$15,515
WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) 1298 #81of 88 Claude Opus 5.51820

Specs

Details

Model ID
minimax/minimax-m2
Developer
MiniMax
Release date
Oct 23, 2025 ·
Context window
204,800 tokens
Max output
131,072 tokens
API price
$0.26 / $1.02 per 1M input / output tokens
Providers
2
Input types
text
Reasoning
Yes
Tool calling
Yes
Open weights
Yes
Free tier
No

Release date, prices and providers from OpenRouter's catalog; buying directly from a provider can cost a little differently. Uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.