GPT-5.6 Sol leads on the shared-benchmark average
Ahead on 16 of 19 shared benchmarks, averaging 4.7 points higher
Summarised only from the 19 percentage-scale benchmarks scored by every selected model; details are below. A further 3 historical, reverse-direction or differently scaled metrics are excluded; indexes, cost and time are not added to accuracy percentages.
“Best available” takes each model’s best recorded non-parallel result in the metric’s stated direction per benchmark, so it may combine modes into a virtual configuration that does not exist. Read it with the mode breakdown.

Kimi K3
Moonshot AI
Benchmark-by-benchmark comparison. Changing the thinking mode or tool filters updates the chart and table below.
“Best available” picks the best non-parallel result in the metric’s stated direction separately for each benchmark. The resulting series can combine several reasoning levels and is not one reproducible runtime configuration. Choose a mode filter to compare like-for-like runs.
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 +32.7 / Relative gap: 数学推理 -30.4
Relative edge: 数学推理 +30.4 / Relative gap: 生产力知识 -32.7
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.
31 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Kimi K3 | GPT-5.6 Sol |
|---|---|---|
59.80Thinking Level · High | Tools | 44.50Thinking Level · High | |
92.90Thinking Level · High | 94.60Thinking Level · High | |
2070.60Standard Mode | 1963.40Standard Mode | |
60.70Thinking Level · High | 64.80Thinking Level · Extra High | |
91.20Thinking Level · High | Tools | 90.40Thinking Level · High | |
71.75Thinking Level · High | 97.63Thinking Level · High | |
74.70Thinking Level · High | 77.67Thinking Level · High | |
80.00Thinking Level · High | Tools | 84.50Thinking Level · High | Tools | |
58.30Thinking Level · High | Tools | 65.70Thinking Level · High | |
88.30Thinking Level · High | Tools | 88.80Thinking Level · High | Tools | |
17.70Thinking Level · High | Tools | 34.40Thinking Level · High | Tools | |
12.60Thinking Level · High | Tools | 39.90Thinking Level · High | Tools | |
7.10Thinking Level · High | Tools | 22.40Thinking Level · High | Tools | |
67.50Thinking Level · High | Tools | 73.00Thinking Level · High | Tools | |
58.00Thinking Level · High | Tools | 56.80Thinking Level · High | Tools | |
17.50Thinking Level · High | Tools | 23.00Thinking Level · High | Tools | |
58.70Thinking Level · High | Tools | 56.94Thinking Level · High | |
1681.75Thinking Level · High | 1620.27Thinking Level · Extra High | |
27.60Thinking Level · High | Tools | 53.60Thinking Level · High | |
41.00Thinking Level · High | Tools | 56.70Thinking Level · High | Tools | |
33.40Thinking Level · High | Tools | 44.33Thinking Level · High | Tools | |
38.75Thinking Level · High | Tools | 47.50Thinking Level · High | Tools | |
1528.20Thinking Level · High | Tools | 1493.92Thinking Level · High | Tools | |
46.70Thinking Level · High | Tools | 45.80Thinking Level · High | Tools | |
1686.00Thinking Level · High | Tools | 1728.00Thinking Level · High | Tools | |
94.60Thinking Level · High | Tools | 2.50Thinking Level · High | Tools | |
85.70Thinking Level · High | Tools | 88.90Thinking Level · High | Tools | |
68.10Thinking Level · High | Tools | 79.90Thinking Level · High | Tools | |
41.00Thinking Level · High | Tools | 53.00Thinking Level · High | Tools | |
39.02Thinking Level · High | 83.00Thinking Level · High | |
72.18Thinking Level · High | 89.12Thinking Level · High |
Official list prices per model API, split by input and output. Unit: USD per 1M tokens.
Reviewed 2026-09-05 · Official documentation
Architecture, licensing and API modalities. "Not provided" means the field is missing from our database.
| Features & specs | Kimi K3Moonshot AI | GPT-5.6 SolOpenAI |
|---|---|---|
Core specsRelease | 2026-07-16 | 2026-06-26 |
Context length | 1M | 1.05M |
Total parameters | 2.8T | — |
Active parameters | 104B | N/A |
Max output length | 1,048,576 tokens | 128,000 tokens |
Architecture | MoE (mixture of experts) | Undisclosed |
Runtime modes | 低高最高 | 关闭低中高极高最高 |
Availability & licensingCode availability | Available · Kimi K3 License | Not public |
Weight availability | Available · Kimi K3 License | Not public |
Use & commercial terms | 有条件免费商用授权 | Official service only; subject to provider terms |
Local deploymentWeight size | 约 1.42 TiB(MXFP4,96 个 Safetensors 分片) | Not provided |
VRAM for weights | ≈ 1454 GB (weights only, excludes KV cache) | Not provided |
Weights | Hugging Face | Not provided |
Source repo | GitHub | Not provided |
API modality supportText Input/Output | Input:YesOutput:Yes | Input:YesOutput:Yes |
Image Input/Output | Input:YesOutput:No | Input:YesOutput:No |
Video Input/Output | Input:YesOutput:No | Input:NoOutput:No |
ResourcesPaper / report | Kimi K3 技术报告 | Previewing GPT-5.6 Sol: a next-generation model |

GPT-5.6 Sol
OpenAI