See key specs and per-benchmark scores for each model/mode. Scroll horizontally for all columns. 当前对比 2 个模型的评测数据与核心参数。

MiniMax M2.5
MiniMaxAI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: AI Agent - 信息收集 +32.3 / Relative gap: 指令跟随 -2.3
Relative edge: 指令跟随 +2.3 / Relative gap: AI Agent - 信息收集 -32.3
Method: for each model and benchmark, the chart first averages all scores in the current mode scope instead of taking the best score, then averages those benchmark scores within each category. Only benchmarks with at least two selected models scored are included; missing values are not counted as zero.
Best overall
MiniMax M2.5 · 73.60
Best single
MiniMax M2.5 · τ²-Bench - Telecom 97.80
Modality coverage
MiniMax M2 · 1 modalities
Head to head
7
Benchmarks
6
Wins
1
Losses
+10.57
Average diff
Compare benchmark results across thinking modes and tool usage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Complete scores for each model/mode across selected benchmarks.
7 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | MiniMax M2.5 | MiniMax M2 |
|---|---|---|
GPQA Diamond 综合评估 | 85.20Thinking Enabled | 78.00Thinking Enabled |
HLE 综合评估 | 19.40Thinking Enabled | 12.50Thinking Enabled |
SWE-bench Verified 编程与软件工程 | 80.20Thinking Enabled | Tools | 69.40Thinking Enabled | Tools |
AIME2025 数学推理 | 86.30Thinking Enabled | 78.00Thinking Enabled |
τ²-Bench - Telecom Agent能力评测 | 97.80Thinking Enabled | Tools | 87.00Thinking Enabled | Tools |
IF Bench 指令跟随 | 70.00Thinking Enabled | Tools | 72.30Thinking Enabled |
BrowseComp AI Agent - 信息收集 | 76.30Thinking Enabled | Tools | 44.00Thinking Enabled | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | MiniMax M2.5MiniMaxAI | MiniMax M2MiniMaxAI |
|---|---|---|
Core specsRelease | 2026-02-12 | 2025-10-27 |
Context length | 128K | 205K |
Parameters | 2290 | 2300 |
Active parameters | 100 | 100 |
MoE | Yes | Yes |
Supported modes | No mode data | 常规模式(Non-Thinking Mode)思考模式(Thinking Mode) |
LicenseCode Open Source | Closed Source | Closed Source |
Weights Open Source | Not provided | Closed Source |
Commercial use | 免费商用授权 | 免费商用授权 |
Modality supportText Input/Output | Not provided | / |
ResourcesPaper / report | MiniMax M2.5: Built for Real-World Productivity. | |
DataLearner blog | Not provided | MiniMaxAI开源MiniMax M2模型:Artificial Analysis评测显示综合智能得分超过Claude Opus 4.1,开源第一,全球第五。 |

MiniMax M2
MiniMaxAI