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。

Kimi K2.6
Moonshot AI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: 综合评估 +9.9 / Relative gap: OpenClaw智能体能力综合测评 -10.8
Relative edge: OpenClaw智能体能力综合测评 +10.8 / Relative gap: 综合评估 -9.9
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
Kimi K2.6 · 71.00
Best single
MiniMax-M2.7 · Claw Bench 91.70
Modality coverage
Kimi K2.6 · 3 modalities
Head to head
4
Benchmarks
3
Wins
1
Losses
+5.28
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.
4 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Kimi K2.6 | MiniMax-M2.7 |
|---|---|---|
GPQA Diamond 综合评估 | 90.50Thinking Enabled | 87.00Thinking Enabled |
HLE 综合评估 | 54.00Thinking Enabled | Tools | 28.00Thinking Enabled |
SWE-Bench Pro - Public 编程与软件工程 | 58.60Thinking Enabled | Tools | 56.20Thinking Enabled | Tools |
Claw Bench OpenClaw智能体能力综合测评 | 80.90Thinking Enabled | Tools | 91.70Thinking Enabled | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Kimi K2.6Moonshot AI | MiniMax-M2.7MiniMaxAI |
|---|---|---|
Core specsRelease | 2026-04-20 | 2026-03-18 |
Context length | 256K | 200K |
Parameters | 10000 | 2290 |
Active parameters | 320 | 100 |
Max output | Not provided | 204800 |
MoE | Yes | Yes |
Supported modes | 常规模式(Non-Thinking Mode)思考模式(Thinking Mode) | No mode data |
LicenseCode Open Source | Not provided | Not provided |
Weights Open Source | Not provided | Not provided |
Commercial use | 免费商用授权 | 不可以商用 |
Modality supportText Input/Output | / | Not provided |
Image Input/Output | / | Not provided |
Video Input/Output | / | Not provided |
ResourcesPaper / report | Kimi K2.6: Advancing Open-Source Coding | MiniMax M2.7: Early Echoes of Self-Evolution |
DataLearner blog | Not provided | MiniMax M2.7 发布:模型开始帮自己训练自己 |

MiniMax-M2.7
MiniMaxAI