# Command A vs o4-mini

> o4-mini is the stronger model overall, scoring 41.6 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-a-vs-o4-mini
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Command A scores higher in 1 category and o4-mini in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where o4-mini leads 41.6 to 26.8.
- The biggest single-benchmark swing is Aider Polyglot: 12% for Command A and 72% for o4-mini.
- o4-mini is cheaper at $1.10 / $4.40 per million input/output tokens, against $2.50 / $10 for Command A.
- Command A accepts more context: 256K tokens versus 200K.
- Command A has downloadable open weights; the other is API-only.

## Snapshot

| | Command A | o4-mini |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 35.9 | 41.6 |
| Rank | 212 | 119 |
| Context | 256K | 200K |
| Input $/M | $2.50 | $1.10 |
| Output $/M | $10 | $4.40 |
| Weights | Open | Proprietary |

## Coding

- Command A: 26.8 (#317)
- o4-mini: 41.6 (#110)

| Benchmark | Command A | o4-mini |
|---|---|---|
| Aider Polyglot | 12% | 72% |
| LMArena Coding | 1331 | 1369 |
| SWE-bench Verified (bash only) | — | 45% |
| GSO | — | 3.6% |
| WeirdML | — | 52.6% |
| CadEval | — | 62% |
| ALE-Bench | — | 826.17 |
| AlgoTune | — | 1.72 |

## Agentic & Tool Use

- Command A: 35.7 (#36)
- o4-mini: 32.3 (#57)

| Benchmark | Command A | o4-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | 53.2% |
| GDPval | — | 25.3% |
| METR Time Horizons | — | 63.9% |

## Reasoning

- Command A: 17.7 (#276)
- o4-mini: 24.6 (#143)

| Benchmark | Command A | o4-mini |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | 67.6% |
| LMArena Hard Prompts | 1326 | 1351 |
| DTBench | 61.3% | 77.6% |
| LMCA | 10.3% | 26.5% |
| ARC-AGI-2 | — | 6.1% |
| SimpleBench | — | 38.7% |
| ARC-AGI-1 | — | 58.7% |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 26% |
| EnigmaEval | — | 9.2% |
| Mystery Game Puzzles | — | 5% |
| Epoch Capabilities Index | — | 145.63 |
| ForecastBench | — | 61.8 |

## Math

- Command A: 33.5 (#172)
- o4-mini: 40.2 (#79)

| Benchmark | Command A | o4-mini |
|---|---|---|
| LMArena Math | 1300 | 1390 |
| FrontierMath (Tiers 1-3) | — | 36.1% |
| FrontierMath Tier 4 | — | 4.9% |
| OTIS Mock AIME 2024-2025 | — | 81.7% |
| Omni-MATH | — | 72% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 24.8% |
| FrontierMath Tier 4 (v1) | — | 6.3% |

## Knowledge

- Command A: 36.5 (#157)
- o4-mini: 43.5 (#83)

| Benchmark | Command A | o4-mini |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 18.6% |
| LMArena Expert | 1295 | 1344 |
| GPQA Diamond | — | 79.6% |
| Humanity's Last Exam | — | 18.1% |
| SimpleQA Verified | — | 19.6% |
| MMLU-Pro | — | 82% |
| Confabulations | — | 15.8% |
| GPQA (HELM) | — | 73.5% |

## Multimodal

- Command A: —
- o4-mini: 39.5 (#46)

| Benchmark | Command A | o4-mini |
|---|---|---|
| LMArena Vision | — | 1194 |
| GeoBench | — | 64% |
| VPCT | — | 57.5% |

## Multilingual

- Command A: 45.5 (#166)
- o4-mini: 47.2 (#149)

| Benchmark | Command A | o4-mini |
|---|---|---|
| LMArena Non-English | 1313 | 1336 |
| LMArena Chinese | 1327 | 1355 |
| LMArena French | 1352 | 1362 |
| LMArena German | 1341 | 1336 |
| LMArena Japanese | 1283 | 1308 |
| LMArena Korean | 1285 | 1313 |
| LMArena Russian | 1314 | 1334 |
| LMArena Spanish | 1346 | 1346 |

## Instruction Following

- Command A: 69.3 (#172)
- o4-mini: 75.4 (#63)

| Benchmark | Command A | o4-mini |
|---|---|---|
| LMArena Instruction Following | 1309 | 1321 |
| IFEval | — | 92.8% |

## Long Context

- Command A: 40.6 (#147)
- o4-mini: 45.5 (#31)

| Benchmark | Command A | o4-mini |
|---|---|---|
| LMArena Longer Query | 1334 | 1315 |
| Fiction.LiveBench | — | 77.8% |

## Writing & Preference

- Command A: 47.8 (#204)
- o4-mini: 54.2 (#148)

| Benchmark | Command A | o4-mini |
|---|---|---|
| LMArena Text | 1331 | 1353 |
| LMArena Creative Writing | 1319 | 1294 |
| LMArena Multi-Turn | 1338 | 1350 |
| Short-Story Creative Writing | — | 75% |
| EQ-Bench Creative Writing | 1145 | — |
| WildBench | — | 85.4% |

## FAQ

### Is Command A better than o4-mini?

o4-mini is the stronger model overall, scoring 41.6 to 35.9 on the Noometry Index.

### Which is cheaper, Command A or o4-mini?

o4-mini is cheaper. It lists at $1.10 per million input tokens and $4.40 per million output tokens; Command A lists at $2.50 and $10.

### Is Command A or o4-mini better for coding?

o4-mini scores higher on coding benchmarks: 41.6 versus 26.8 in the Noometry coding category.

### Which has the bigger context window?

Command A does, with 256K tokens against 200K.

### How many benchmarks do Command A and o4-mini share?

23 benchmarks have published results for both models. Command A has 24 scored results on Noometry and o4-mini has 60.