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 K2.5
Moonshot AI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: 数学推理 +20.9 / Relative gap: none clear
Relative edge: none clear / Relative gap: 数学推理 -20.9
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 K2.5 · 68.45
Best single
Kimi K2.5 · AIME2025 96.10
Modality coverage
Kimi K2.5 · 2 modalities
Head to head
4
Benchmarks
4
Wins
0
Losses
+20.01
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 K2.5 | Kimi K2 0905 |
|---|---|---|
HLE 综合评估 | 50.20Thinking Enabled | Tools | 21.70Thinking Enabled | Tools |
SWE-Bench Pro - Public 编程与软件工程 | 50.70Thinking Enabled | Tools | 27.67Standard Mode |
SWE-bench Verified 编程与软件工程 | 76.80Thinking Enabled | Tools | 69.20Standard Mode |
AIME2025 数学推理 | 96.10Thinking Enabled | 75.20Thinking Enabled | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Kimi K2.5Moonshot AI | Kimi K2 0905Moonshot AI |
|---|---|---|
Core specsRelease | 2026-01-27 | 2025-09-05 |
Context length | 256K | 256K |
Parameters | 10000 | 10000 |
Active parameters | 320 | 320 |
Max output | 16384 | 4096 |
MoE | Yes | Yes |
Supported modes | 常规模式(Non-Thinking Mode)思考模式(Thinking Mode) | 常规模式(Non-Thinking Mode) |
LicenseCode Open Source | Not provided | 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 | / | / |
Image Input/Output | / | Not provided |
ResourcesPaper / report | Kimi K2.5: Visual Agentic Intelligence | Not provided |
DataLearner blog | 重磅!Kimi K2.5发布,依然免费开源!原生多模态MoE架构,全球最大规模参数的开源模型之一,官方评测结果比肩诸多闭源模型!可以驱动100个子Agent执行! | Moonshot AI发布Kimi K2-Instruct-0905:256K上下文长度加持,全面升级的开放式智能体模型 |

Kimi K2 0905
Moonshot AI