EBEasy BenchmarksLLM model index
Workspace
Overview
Benchmarks
Benchmarks list
Overall Index
Coding
Math
MMLU-Pro
Speed
Value
Models
All models
GPT-5.5 (xhigh)
GPT-5.5 (high)
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
Gemini 3.1 Pro Preview
GPT-5.4 (xhigh)
Artificial Analysis data
Back

MiniMax

MiniMax-M2.7

MiniMax-M2.7 is a MiniMax language-model profile in the Easy Benchmarks snapshot. Use this page to compare its measured Artificial Analysis scores, output speed, time to first token, pricing, and relative ranking against other models in the local catalog.

MiniMax model releases

Operational Metrics

Output Speed43.9 tok/s
First Token1.35s
Blended Price$0.525/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseMar 18, 2026
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: Overall

Rank #23 across 500 models.

49.6

Strength: SciCode

Rank #28 across 472 models.

47.0%

Strength: GPQA

Rank #30 across 478 models.

87.4%

Watch Area: Speed

Rank #244 across 293 models.

43.9 tok/s

Strength Profile

Percentile score by analysis domain.

* Cost is inverted: lower input, output, and blended prices rank higher.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall49.6#23
Artificial Analysis Coding Indexcoding41.9#40
GPQAreasoning87.4%#30
Humanity's Last Examreasoning28.1%#30
SciCode
coding, reasoning
47.0%
#28
Output Speedspeed43.9 tok/s#244
Time to First Tokenspeed1.35s#190
Blended Pricecost$0.525/M#123
Input Pricecost$0.300/M#136
Output Pricecost$1.20/M#121
Value Indexcost, overall94.5#52