# Command A vs Kimi K2.5

> Kimi K2.5 is the stronger model overall, scoring 48.1 to 36.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-a-vs-kimi-k2-5
- Last updated: 2026-10-11
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Command A scores higher in 1 category and Kimi K2.5 in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where Kimi K2.5 leads 48.8 to 27.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 28.8% for Command A and 78.5% for Kimi K2.5.
- Kimi K2.5 is cheaper at $0.45 / $2.25 per million input/output tokens, against $2.50 / $10 for Command A.
- Kimi K2.5 accepts more context: 262K tokens versus 256K.

## Snapshot

| | Command A | Kimi K2.5 |
|---|---|---|
| Provider | Cohere | Moonshot AI |
| Noometry Index | 36.5 | 48.1 |
| Rank | 215 | 57 |
| Context | 256K | 262K |
| Input $/M | $2.50 | $0.45 |
| Output $/M | $10 | $2.25 |
| Weights | Open | Open |

## Coding

- Command A: 27.2 (#322)
- Kimi K2.5: 48.8 (#53)

| Benchmark | Command A | Kimi K2.5 |
|---|---|---|
| LMArena Coding | 1330 | 1474 |
| SWE-bench Verified | — | 73.8% |
| SWE-bench Verified (bash only) | — | 70.8% |
| Aider Polyglot | 12% | — |
| LMArena WebDev | — | 1437 |
| SWE-bench Multilingual | — | 67.3% |
| SciCode | — | 49% |
| WeirdML | — | 45.6% |
| ALE-Bench | — | 821.65 |

## Agentic & Tool Use

- Command A: 35.9 (#40)
- Kimi K2.5: 34.2 (#48)

| Benchmark | Command A | Kimi K2.5 |
|---|---|---|
| Terminal-Bench | — | 43.2% |
| Berkeley Function Calling Leaderboard | 57.1% | — |
| OSWorld | — | 63.3% |
| Vending-Bench 2 | — | 1,198 |

## Reasoning

- Command A: 18.3 (#283)
- Kimi K2.5: 31.2 (#80)

| Benchmark | Command A | Kimi K2.5 |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | 78.5% |
| LMArena Hard Prompts | 1326 | 1453 |
| ARC-AGI-2 | — | 11.8% |
| SimpleBench | — | 46.8% |
| NYT Connections (extended) | — | 69.9% |
| ARC-AGI-1 | — | 65.3% |
| CritPt | — | 3.1% |
| Chess Puzzles | — | 12% |
| EnigmaEval | — | 3.4% |
| Thematic Generalization | — | 69.4% |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
| Epoch Capabilities Index | — | 148.03 |

## Math

- Command A: 36.2 (#171)
- Kimi K2.5: 51.8 (#53)

| Benchmark | Command A | Kimi K2.5 |
|---|---|---|
| LMArena Math | 1300 | 1470 |
| MathArena Final-Answer Competitions | — | 62.3% |
| OTIS Mock AIME 2024-2025 | — | 92.2% |
| FrontierMath (Feb 2025 set) | — | 27.9% |
| FrontierMath Tier 4 (v1) | — | 4.2% |

## Knowledge

- Command A: 37.1 (#159)
- Kimi K2.5: 53.6 (#56)

| Benchmark | Command A | Kimi K2.5 |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 14.2% |
| LMArena Expert | 1295 | 1466 |
| GPQA Diamond | — | 87.6% |
| Humanity's Last Exam | — | 24.4% |
| SimpleQA Verified | — | 34.3% |

## Multimodal

- Command A: —
- Kimi K2.5: 41.1 (#39)

| Benchmark | Command A | Kimi K2.5 |
|---|---|---|
| LMArena Vision | — | 1269 |
| LMArena Document | — | 1430 |

## Multilingual

- Command A: 45.3 (#170)
- Kimi K2.5: 53.9 (#53)

| Benchmark | Command A | Kimi K2.5 |
|---|---|---|
| LMArena Non-English | 1313 | 1433 |
| LMArena Chinese | 1327 | 1495 |
| LMArena French | 1351 | 1454 |
| LMArena German | 1341 | 1441 |
| LMArena Japanese | 1285 | 1421 |
| LMArena Korean | 1285 | 1410 |
| LMArena Russian | 1314 | 1435 |
| LMArena Spanish | 1347 | 1450 |

## Instruction Following

- Command A: 69.1 (#177)
- Kimi K2.5: 75.3 (#64)

| Benchmark | Command A | Kimi K2.5 |
|---|---|---|
| LMArena Instruction Following | 1309 | 1431 |

## Long Context

- Command A: 40.6 (#151)
- Kimi K2.5: 52.1 (#7)

| Benchmark | Command A | Kimi K2.5 |
|---|---|---|
| LMArena Longer Query | 1334 | 1445 |
| Fiction.LiveBench | — | 86.1% |
| CL-bench | — | 19.3% |
| CL-bench Life | — | 13.2% |

## Writing & Preference

- Command A: 47.6 (#208)
- Kimi K2.5: 65.1 (#53)

| Benchmark | Command A | Kimi K2.5 |
|---|---|---|
| LMArena Text | 1331 | 1445 |
| LMArena Creative Writing | 1319 | 1423 |
| EQ-Bench Creative Writing | 1145 | 1579 |
| LMArena Multi-Turn | 1339 | 1444 |

## FAQ

### Is Command A better than Kimi K2.5?

Kimi K2.5 is the stronger model overall, scoring 48.1 to 36.5 on the Noometry Index.

### Which is cheaper, Command A or Kimi K2.5?

Kimi K2.5 is cheaper. It lists at $0.45 per million input tokens and $2.25 per million output tokens; Command A lists at $2.50 and $10.

### Is Command A or Kimi K2.5 better for coding?

Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 27.2 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.5 does, with 262K tokens against 256K.

### How many benchmarks do Command A and Kimi K2.5 share?

20 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Kimi K2.5 has 51.