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MiniMax · Released Mar 18, 2026

MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through…

ReasoningOpen weights
  • Top 50%Terminal-Bench
Compare in showdown → OpenRouter ↗ All MiniMax models
Released
Mar 18 2026
Context window
205K 131K out
Input / 1M tokens
$0.30 from $0.21
Output / 1M tokens
$1.20 from $0.84

Where to run it

5 providers compared

Cheapest: GMICloud at $0.21 / $0.84 per 1M input / output tokens — 65% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
GMICloudFP8 $0.21 $0.84 $0.042197K177K99.8%24h Cheapest
NovitaFP8 $0.27 $1.08 $0.054205K131K99.7%24h +29%
MinimaxFP8 $0.30 $1.20 $0.06205K131K100%24h +43%
AtlasCloudFP8 $0.30 $1.20 $0.06197K177K98.3%24h +43%
Groq $0.60 $1.80 —197K131K91%24h +145%
Minimaxhighspeed · FP8 $0.60 $2.40 $0.06205K131K97.3%24h +186%

Value

Price vs. performance

1 model scores 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 M2.5 (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 M2.7 (MiniMax) — 45.1% · $0.30/1M in MiniMax M2.7

MiniMax M2.7 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

7 benchmark scores

BenchmarkScoreRankLeader
Terminal-BenchSoftware engineering · Tasks completed with the programs in a real terminal (best agent) 45.1% #20of 40 GPT-5.584.7%
GBAEvalSoftware engineering · Build a Game Boy Advance emulator from scratch 0.0% #22of 23 Claude Opus 579.6%
SciCodeSoftware engineering · Research-coding problems from the natural sciences 50.1% #48of 93 Claude Opus 5.566.9%
WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) 1398 #62of 88 Claude Opus 5.51820
ExploitBenchCybersecurity · Exploit real, hardened security vulnerabilities 13.3% #8of 8 GPT-5.547.4%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 0.6% #84of 96 GPT-5.6 Sol32.3%
ProofBenchMaths · Graduate maths proofs verified in Lean 4 3.0% #70of 70 Claude Sonnet 5.5100.0%

Specs

Details

Model ID
minimax/minimax-m2.7
Developer
MiniMax
Release date
Mar 18, 2026 ·
Context window
204,800 tokens
Max output
131,072 tokens
API price
$0.30 / $1.20 per 1M input / output tokens
Providers
5
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.