# Command A vs GPT-4.1 mini

> Command A is the stronger model overall, scoring 35.9 to 33.5 on the Noometry Index. GPT-4.1 mini costs 6.2× less per token, which makes it the better buy when Command A's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/command-a-vs-gpt-4-1-mini
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Command A scores higher in 5 categories and GPT-4.1 mini in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Command A leads 33.5 to 23.1.
- The biggest single-benchmark swing is Aider Polyglot: 12% for Command A and 32.4% for GPT-4.1 mini.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $2.50 / $10 for Command A.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 256K.
- Command A has downloadable open weights; the other is API-only.

## Snapshot

| | Command A | GPT-4.1 mini |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 35.9 | 33.5 |
| Rank | 212 | 232 |
| Context | 256K | 1.05M |
| Input $/M | $2.50 | $0.40 |
| Output $/M | $10 | $1.60 |
| Weights | Open | Proprietary |

## Coding

- Command A: 26.8 (#317)
- GPT-4.1 mini: 30.4 (#286)

| Benchmark | Command A | GPT-4.1 mini |
|---|---|---|
| Aider Polyglot | 12% | 32.4% |
| LMArena Coding | 1331 | 1367 |
| SWE-bench Verified (bash only) | — | 23.9% |
| SciCode | — | 40.4% |
| WeirdML | — | 37.6% |
| BigCodeBench Instruct | — | 48.9% |
| CadEval | — | 16% |

## Agentic & Tool Use

- Command A: 35.7 (#36)
- GPT-4.1 mini: 33.0 (#52)

| Benchmark | Command A | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | 50.5% |

## Reasoning

- Command A: 17.7 (#276)
- GPT-4.1 mini: 10.9 (#335)

| Benchmark | Command A | GPT-4.1 mini |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | 48.6% |
| LMArena Hard Prompts | 1326 | 1349 |
| DTBench | 61.3% | 68.8% |
| LMCA | 10.3% | 21.1% |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| Mystery Game Puzzles | — | 7% |
| Epoch Capabilities Index | — | 135.01 |

## Math

- Command A: 33.5 (#172)
- GPT-4.1 mini: 23.1 (#264)

| Benchmark | Command A | GPT-4.1 mini |
|---|---|---|
| LMArena Math | 1300 | 1343 |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| OTIS Mock AIME 2024-2025 | — | 44.7% |
| Omni-MATH | — | 49.1% |
| MATH Level 5 | — | 87.3% |
| FrontierMath (Feb 2025 set) | — | 4.5% |

## Knowledge

- Command A: 36.5 (#157)
- GPT-4.1 mini: 34.7 (#183)

| Benchmark | Command A | GPT-4.1 mini |
|---|---|---|
| LMArena Expert | 1295 | 1338 |
| GPQA Diamond | — | 65.8% |
| SimpleQA Verified | — | 12.7% |
| MMLU-Pro | — | 78.3% |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | — | 61.4% |

## Multimodal

- Command A: —
- GPT-4.1 mini: 35.2 (#77)

| Benchmark | Command A | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |

## Multilingual

- Command A: 45.5 (#166)
- GPT-4.1 mini: 45.9 (#161)

| Benchmark | Command A | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1313 | 1318 |
| LMArena Chinese | 1327 | 1329 |
| LMArena French | 1352 | 1357 |
| LMArena German | 1341 | 1349 |
| LMArena Japanese | 1283 | 1291 |
| LMArena Korean | 1285 | 1298 |
| LMArena Russian | 1314 | 1324 |
| LMArena Spanish | 1346 | 1319 |

## Instruction Following

- Command A: 69.3 (#172)
- GPT-4.1 mini: 73.9 (#113)

| Benchmark | Command A | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1309 | 1332 |
| IFEval | — | 90.4% |

## Long Context

- Command A: 40.6 (#147)
- GPT-4.1 mini: 31.8 (#270)

| Benchmark | Command A | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1334 | 1344 |
| Fiction.LiveBench | — | 44.4% |

## Writing & Preference

- Command A: 47.8 (#204)
- GPT-4.1 mini: 48.8 (#193)

| Benchmark | Command A | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1331 | 1341 |
| LMArena Creative Writing | 1319 | 1300 |
| EQ-Bench Creative Writing | 1145 | 1147 |
| LMArena Multi-Turn | 1338 | 1354 |
| WildBench | — | 83.8% |

## FAQ

### Is Command A better than GPT-4.1 mini?

Command A is the stronger model overall, scoring 35.9 to 33.5 on the Noometry Index. GPT-4.1 mini costs 6.2× less per token, which makes it the better buy when Command A's lead doesn't matter for your workload.

### Which is cheaper, Command A or GPT-4.1 mini?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Command A lists at $2.50 and $10.

### Is Command A or GPT-4.1 mini better for coding?

GPT-4.1 mini scores higher on coding benchmarks: 30.4 versus 26.8 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 256K.

### How many benchmarks do Command A and GPT-4.1 mini share?

23 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-4.1 mini has 47.