# Command A vs GPT-5-Codex

> GPT-5-Codex is the stronger model overall, scoring 37.9 to 36.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-a-vs-gpt-5-codex
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Command A scores higher in 1 category and GPT-5-Codex in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-5-Codex leads 42.4 to 27.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 28.8% for Command A and 70.3% for GPT-5-Codex.
- GPT-5-Codex is cheaper at $1.25 / $10 per million input/output tokens, against $2.50 / $10 for Command A.
- GPT-5-Codex accepts more context: 400K tokens versus 256K.
- Command A has downloadable open weights; the other is API-only.

## Snapshot

| | Command A | GPT-5-Codex |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 36.5 | 37.9 |
| Rank | 215 | 192 |
| Context | 256K | 400K |
| Input $/M | $2.50 | $1.25 |
| Output $/M | $10 | $10 |
| Weights | Open | Proprietary |

## Coding

- Command A: 27.2 (#322)
- GPT-5-Codex: 42.4 (#103)

| Benchmark | Command A | GPT-5-Codex |
|---|---|---|
| Aider Polyglot | 12% | — |
| WeirdML | — | 54.5% |
| LMArena Coding | 1330 | — |

## Agentic & Tool Use

- Command A: 35.9 (#40)
- GPT-5-Codex: 31.0 (#72)

| Benchmark | Command A | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
| Berkeley Function Calling Leaderboard | 57.1% | — |

## Reasoning

- Command A: 18.3 (#283)
- GPT-5-Codex: 30.9 (#83)

| Benchmark | Command A | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | 70.3% |
| LMArena Hard Prompts | 1326 | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |

## Math

- Command A: 36.2 (#171)
- GPT-5-Codex: —

| Benchmark | Command A | GPT-5-Codex |
|---|---|---|
| LMArena Math | 1300 | — |

## Knowledge

- Command A: 37.1 (#159)
- GPT-5-Codex: —

| Benchmark | Command A | GPT-5-Codex |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |

## Multilingual

- Command A: 45.3 (#170)
- GPT-5-Codex: —

| Benchmark | Command A | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1327 | — |
| LMArena French | 1351 | — |
| LMArena German | 1341 | — |
| LMArena Japanese | 1285 | — |
| LMArena Korean | 1285 | — |
| LMArena Russian | 1314 | — |
| LMArena Spanish | 1347 | — |

## Instruction Following

- Command A: 69.1 (#177)
- GPT-5-Codex: —

| Benchmark | Command A | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 1309 | — |

## Long Context

- Command A: 40.6 (#151)
- GPT-5-Codex: —

| Benchmark | Command A | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1334 | — |

## Writing & Preference

- Command A: 47.6 (#208)
- GPT-5-Codex: —

| Benchmark | Command A | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| EQ-Bench Creative Writing | 1145 | — |
| LMArena Multi-Turn | 1339 | — |

## FAQ

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

GPT-5-Codex is the stronger model overall, scoring 37.9 to 36.5 on the Noometry Index.

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

GPT-5-Codex is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; Command A lists at $2.50 and $10.

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

GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 27.2 in the Noometry coding category.

### Which has the bigger context window?

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

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

1 benchmark has published results for both models. Command A has 24 scored results on Noometry and GPT-5-Codex has 3.