Very long inputs
Choose Kimi K2.6
Kimi K2.6 reads up to 256k tokens per request, against 128k for Command A+.
Choose Command A+ for images as input and the latest release. Choose Kimi K2.6 for very long inputs, the hardest reasoning tasks, agentic coding, tool use and support agents, reasoning over long documents and self-hosting and data control.
Each answer below comes straight from the published prices, specifications and independent benchmark results.
Choose Kimi K2.6
Kimi K2.6 reads up to 256k tokens per request, against 128k for Command A+.
Choose Kimi K2.6
Kimi K2.6 scores 27 on the Artificial Analysis Intelligence Index, against 13.1 for Command A+.
Choose Kimi K2.6
Kimi K2.6 scores 43.9% on Terminal-Bench Hard, against 25% for Command A+.
Choose Kimi K2.6
Kimi K2.6 scores 95.9% on τ²-Bench (agentic tool use), against 80.7% for Command A+.
Choose Kimi K2.6
Kimi K2.6 scores 81% on Long-context reasoning (AA-LCR), against 52.7% for Command A+.
Choose Kimi K2.6
Kimi K2.6 has open weights, so you can run it on your own servers; Command A+ is only available through its provider.
Choose Command A+
Command A+ accepts images as input; Kimi K2.6 does not.
Choose Command A+
Command A+ is the newer release (May 2026, against Apr 20, 2026 for Kimi K2.6).
| Command A+ | Kimi K2.6 | |
|---|---|---|
| Provider | Cohere | Moonshot AI |
| Category | Language models | Language models |
| Status | Generally available | Legacy |
| Headline price | No data | No data |
| Input | No data | No data |
| Output | No data | No data |
| Cached input | No data | No data |
| Context window | 128k | 256k |
| Max output | No data | No data |
| Released | May 2026 | Apr 20, 2026 |
| Knowledge cutoff | No data | No data |
| Licence | Proprietary | Open weights |
| Capabilities | Vision, Tool calling, Structured output | Tool calling |
| API model id | command-a-plus-05-2026 | kimi-k2.6 |
Leader in bold.
| Benchmark | Command A+ | Kimi K2.6 |
|---|---|---|
| Intelligence Index | 13.1 | 27 |
| Terminal-Bench Hard | 25% | 43.9% |
| SciCode | 38.5% | 51.5% |
| GPQA Diamond | 76.1% | 91.1% |
| Humanity's Last Exam | 12% | 37.5% |
| IFBench (instruction following) | 73.9% | 76% |
| τ²-Bench (agentic tool use) | 80.7% | 95.9% |
| MMMU-Pro (visual reasoning) | 63.2% | 79.4% |
| Long-context reasoning (AA-LCR) | 52.7% | 81% |
Independent evaluations by Artificial Analysis, run the same way for every model, at the reasoning setting shown. Percentages unless marked as an index.
Choose Command A+ for images as input and the latest release. Choose Kimi K2.6 for very long inputs, the hardest reasoning tasks, agentic coding, tool use and support agents, reasoning over long documents and self-hosting and data control.
A price comparison is not possible: one of them has no comparable published price.
Kimi K2.6 reads more per request: 256k tokens against 128k.
Command A+ is made by Cohere and Kimi K2.6 by Moonshot AI. A price comparison is not possible: one of them has no comparable published price. Kimi K2.6 reads more per request: 256k tokens against 128k. Command A+ is the newer model (May 2026, against Apr 20, 2026). Only Command A+ offers vision, structured output.
Kimi K2.6 scores 43.9% on Terminal-Bench Hard, against 25% for Command A+.
Command A+ was released on May 2026 and Kimi K2.6 on Apr 20, 2026.