# Command A vs GPT-5 Mini

> GPT-5 Mini is the stronger model overall, scoring 41.7 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-a-vs-gpt-5-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 GPT-5 Mini in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-5 Mini leads 40.0 to 26.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 28.8% for Command A and 70.3% for GPT-5 Mini.
- GPT-5 Mini is cheaper at $0.25 / $2 per million input/output tokens, against $2.50 / $10 for Command A.
- GPT-5 Mini accepts more context: 400K tokens versus 256K.
- Command A has downloadable open weights; the other is API-only.

## Snapshot

| | Command A | GPT-5 Mini |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 35.9 | 41.7 |
| Rank | 212 | 115 |
| Context | 256K | 400K |
| Input $/M | $2.50 | $0.25 |
| Output $/M | $10 | $2 |
| Weights | Open | Proprietary |

## Coding

- Command A: 26.8 (#317)
- GPT-5 Mini: 40.0 (#134)

| Benchmark | Command A | GPT-5 Mini |
|---|---|---|
| LMArena Coding | 1331 | 1406 |
| SWE-bench Verified | — | 64.7% |
| SWE-bench Verified (bash only) | — | 59.8% |
| Aider Polyglot | 12% | — |
| SWE-bench Multilingual | — | 39.7% |
| SciCode | — | 39.2% |
| WeirdML | — | 52.7% |
| ALE-Bench | — | 799.77 |
| AlgoTune | — | 1.38 |

## Agentic & Tool Use

- Command A: 35.7 (#36)
- GPT-5 Mini: 31.0 (#64)

| Benchmark | Command A | GPT-5 Mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | 55.5% |
| Terminal-Bench | — | 34.8% |
| Vending-Bench 2 | — | -31.18 |

## Reasoning

- Command A: 17.7 (#276)
- GPT-5 Mini: 24.1 (#153)

| Benchmark | Command A | GPT-5 Mini |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | 70.3% |
| LMArena Hard Prompts | 1326 | 1380 |
| DTBench | 61.3% | 80.5% |
| LMCA | 10.3% | 34.2% |
| ARC-AGI-2 | — | 4.4% |
| ARC-AGI-1 | — | 54.3% |
| CritPt | — | 0% |
| Chess Puzzles | — | 30% |
| EnigmaEval | — | 8.2% |
| Mystery Game Puzzles | — | 10% |
| Epoch Capabilities Index | — | 145.51 |
| ForecastBench | — | 61 |

## Math

- Command A: 33.5 (#172)
- GPT-5 Mini: 46.3 (#59)

| Benchmark | Command A | GPT-5 Mini |
|---|---|---|
| LMArena Math | 1300 | 1377 |
| FrontierMath (Tiers 1-3) | — | 46.7% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| ProofBench | — | 9% |
| Omni-MATH | — | 72.2% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 27.2% |
| FrontierMath Tier 4 (v1) | — | 6.3% |

## Knowledge

- Command A: 36.5 (#157)
- GPT-5 Mini: 45.5 (#80)

| Benchmark | Command A | GPT-5 Mini |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 12.9% |
| LMArena Expert | 1295 | 1377 |
| GPQA Diamond | — | 75% |
| Humanity's Last Exam | — | 19.4% |
| SimpleQA Verified | — | 21.6% |
| MMLU-Pro | — | 83.5% |
| Confabulations | — | 13.3% |
| GPQA (HELM) | — | 75.6% |

## Multimodal

- Command A: —
- GPT-5 Mini: 35.0 (#80)

| Benchmark | Command A | GPT-5 Mini |
|---|---|---|
| LMArena Vision | — | 1202 |
| VPCT | — | 40.2% |

## Multilingual

- Command A: 45.5 (#166)
- GPT-5 Mini: 49.1 (#131)

| Benchmark | Command A | GPT-5 Mini |
|---|---|---|
| LMArena Non-English | 1313 | 1363 |
| LMArena Chinese | 1327 | 1387 |
| LMArena French | 1352 | 1385 |
| LMArena German | 1341 | 1366 |
| LMArena Japanese | 1283 | 1342 |
| LMArena Korean | 1285 | 1306 |
| LMArena Russian | 1314 | 1362 |
| LMArena Spanish | 1346 | 1355 |

## Instruction Following

- Command A: 69.3 (#172)
- GPT-5 Mini: 76.4 (#43)

| Benchmark | Command A | GPT-5 Mini |
|---|---|---|
| LMArena Instruction Following | 1309 | 1357 |
| IFEval | — | 92.7% |

## Long Context

- Command A: 40.6 (#147)
- GPT-5 Mini: 41.9 (#127)

| Benchmark | Command A | GPT-5 Mini |
|---|---|---|
| LMArena Longer Query | 1334 | 1355 |
| Fiction.LiveBench | — | 69.4% |

## Writing & Preference

- Command A: 47.8 (#204)
- GPT-5 Mini: 55.4 (#143)

| Benchmark | Command A | GPT-5 Mini |
|---|---|---|
| LMArena Text | 1331 | 1373 |
| LMArena Creative Writing | 1319 | 1325 |
| EQ-Bench Creative Writing | 1145 | 1313 |
| LMArena Multi-Turn | 1338 | 1363 |
| Short-Story Creative Writing | — | 83.1% |
| WildBench | — | 85.5% |

## FAQ

### Is Command A better than GPT-5 Mini?

GPT-5 Mini is the stronger model overall, scoring 41.7 to 35.9 on the Noometry Index.

### Which is cheaper, Command A or GPT-5 Mini?

GPT-5 Mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Command A lists at $2.50 and $10.

### Is Command A or GPT-5 Mini better for coding?

GPT-5 Mini scores higher on coding benchmarks: 40.0 versus 26.8 in the Noometry coding category.

### Which has the bigger context window?

GPT-5 Mini does, with 400K tokens against 256K.

### How many benchmarks do Command A and GPT-5 Mini share?

23 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-5 Mini has 60.