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VENICE ATLAS · MODEL DOSSIER · MINIMAX M2.7

Model overview

MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity with advanced agentic capabilities through multi-agent collaboration.

minimax-m27 · venice.ai
Text · Venice catalog$0.38 per 1M tokensPrice on Venice AI
ModalityTextOn Venice AI
Primary price$0.38 per 1M tokensper 1M tokens
Context window198KMax tokens
Benchmarks11Benchmark results

Benchmark results

See the tests behind each score. They use the benchmark’s original scoring scale.

Agents2 results
Finance Agent v2finance-agent-v2 · agents
27.9%
ReportedOct 2026
Toolathlontoolathlon · agents
46.3%
ReportedOct 2026
Coding4 results
MLE-Bench Litemle-bench-lite · code
66.6%
ReportedOct 2026
MM-ClawBenchmm-clawbench · code
62.7%
ReportedOct 2026
NL2Reponl2repo · code
39.8%
ReportedOct 2026
VIBE-Provibe-pro · code
55.6%
ReportedOct 2026
General intelligence1 result
Artificial Analysisartificial-analysis · general
50.0%
ReportedOct 2026
Reasoning4 results
Multi-SWE-Benchmulti-swe-bench · reasoning
52.7%
ReportedOct 2026
SWE-bench Multilingualswe-bench-multilingual · reasoning
76.5%
ReportedOct 2026
SWE-Bench Proswe-bench-pro · reasoning
56.2%
ReportedOct 2026
Terminal-Bench 2.0terminal-bench-2 · reasoning
57.0%
ReportedOct 2026

Learn what each benchmark measures ↗

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