Kimi K3 leads overall
Ahead on 12 of 15 benchmarks, averaging 5.8 points higher
Summarised from the 15 benchmarks both models were scored on; details in the charts below. A further 1 Elo/rating-scale benchmarks are left out of the average — their scale cannot be added to percentages.

Hy4 preview
腾讯AI实验室
Updates live with the mode filters below.
Best overall
Kimi K3 · 159.34
Best single
Kimi K3 · GDPval-AA v2 1686.00
Modality coverage
Kimi K3 · 3 modalities
Head to head
16
Benchmarks
3
Wins
13
Losses
-5.91
Average diff
Benchmark-by-benchmark comparison. Changing the thinking mode or tool filters updates the chart and table below.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Each axis is the mean percentage score of one benchmark domain. It is an average, not a capability rating.
Relative edge: 生产力知识 +2.9 / Relative gap: 编程与软件工程 -18.6
Relative edge: 编程与软件工程 +18.6 / Relative gap: 生产力知识 -2.9
Method: for each model and benchmark, all scores in the current mode scope are averaged (not the best score), then those benchmark scores are averaged within each domain. Only benchmarks scored on a 0-100 scale by at least two of the selected models count — Elo and rating-scale benchmarks such as Codeforces or Arena are excluded, because averaging a 1500 rating with an 85% accuracy produces a meaningless number. Missing values are not counted as zero, and the averages are unweighted, so domains with harder benchmarks read lower.
Every model and runtime mode, benchmark by benchmark. Values are comparable along a row, not between different benchmarks.
16 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Hy4 preview | Kimi K3 |
|---|---|---|
CritPt 综合评估 | 16.90Thinking Level · High | 23.40Thinking Level · High |
HLE 综合评估 | 55.40Thinking Level · High | Tools | 56.00Thinking Level · High | Tools |
GPQA Diamond 科学与综合推理 | 92.30Thinking Level · High | 93.50Thinking Level · High |
DeepSWE 编程与软件工程 | 64.30Thinking Level · High | Tools | 67.50Thinking Level · High | Tools |
PostTrain Bench 编程与软件工程 | 35.60Thinking Level · High | Tools | 36.60Thinking Level · High | Tools |
Program Bench 编程与软件工程 | 17.50Thinking Level · High | Tools | 77.80Thinking Level · High | Tools |
SWE-Marathon 编程与软件工程 | 31.90Thinking Level · High | Tools | 42.00Thinking Level · High | Tools |
AutomationBench AI Agent - 工具使用 | 32.10Thinking Level · High | Tools | 30.80Thinking Level · High | Tools |
MCP-Atlas AI Agent - 工具使用 | 83.70Thinking Level · High | Tools | 84.20Thinking Level · High | Tools |
Terminal-Bench 2.1 AI Agent - 工具使用 | 85.40Thinking Level · High | Tools | 88.30Thinking Level · High | Tools |
Toolathlon-Verified AI Agent - 工具使用 | 74.10Thinking Level · High | Tools | 76.50Thinking Level · High | Tools |
Agents' Last Exam Agent能力评测 | 22.80Thinking Level · High | Tools | 28.30Thinking Level · High | Tools |
APEX-Agents Agent能力评测 | 37.10Thinking Level · High | Tools | 41.00Thinking Level · High | Tools |
Job Bench Agent能力评测 | 61.70Thinking Level · High | Tools | 54.30Thinking Level · High | Tools |
GDPval-AA v2 生产力知识 | 1678.00Thinking Level · High | Tools | 1686.00Thinking Level · High | Tools |
Office QA Pro 生产力知识 | 66.20Thinking Level · High | Tools | 63.30Thinking Level · High | Tools |
Official list prices per model API, split by input and output. Unit: USD per 1M tokens.
Architecture, licensing and API modalities. "Not provided" means the field is missing from our database.
| Features & specs | Hy4 preview腾讯AI实验室 | Kimi K3Moonshot AI |
|---|---|---|
Core specsRelease | 2026-08-28 | 2026-07-16 |
Context length | 1M | 1M |
Total parameters | 770B | 2.8T |
Active parameters | 49B | 104B |
Max output length | Not provided | 1,048,576 tokens |
Architecture | MoE (mixture of experts) | MoE (mixture of experts) |
Runtime modes | 高关闭 | 最高低高 |
LicenseCode Open Source | Open Source · Apache 2.0 | Open Source · Kimi K3 License |
Weights Open Source | Open Source · Apache 2.0 | Open Source · Kimi K3 License |
Licensing status | 免费商用授权 | 有条件免费商用授权 |
Local deploymentWeight size | ≈1.42 TiB (BF16, 131 safetensors shards) | 约 1.42 TiB(MXFP4,96 个 Safetensors 分片) |
VRAM for weights | ≈ 1454 GB (weights only, excludes KV cache) | ≈ 1454 GB (weights only, excludes KV cache) |
Weights | Hugging Face | Hugging Face |
Source repo | GitHub | GitHub |
API modality supportText Input/Output | / | / |
Image Input/Output | Not provided | / |
Video Input/Output | Not provided | / |
ResourcesPaper / report | Introducing Hy4 preview | Kimi K3 技术报告 |

Kimi K3
Moonshot AI