# Command A vs GPT-5.3 Chat

> GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 36.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-a-vs-gpt-5-3-chat
- Last updated: 2026-10-11
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Command A scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 47.6.
- Command A is cheaper at $2.50 / $10 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- Command A accepts more context: 256K tokens versus 128K.
- Command A has downloadable open weights; the other is API-only.

## Snapshot

| | Command A | GPT-5.3 Chat |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 36.5 | 42.8 |
| Rank | 215 | 109 |
| Context | 256K | 128K |
| Input $/M | $2.50 | $1.75 |
| Output $/M | $10 | $14 |
| Weights | Open | Proprietary |

## Coding

- Command A: 27.2 (#322)
- GPT-5.3 Chat: 41.4 (#124)

| Benchmark | Command A | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1330 | 1408 |
| Aider Polyglot | 12% | — |

## Agentic & Tool Use

- Command A: 35.9 (#40)
- GPT-5.3 Chat: —

| Benchmark | Command A | GPT-5.3 Chat |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |

## Reasoning

- Command A: 18.3 (#283)
- GPT-5.3 Chat: 28.5 (#102)

| Benchmark | Command A | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1399 |
| Kagi LLM Benchmark | 28.8% | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |

## Math

- Command A: 36.2 (#171)
- GPT-5.3 Chat: 38.2 (#142)

| Benchmark | Command A | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1300 | 1389 |

## Knowledge

- Command A: 37.1 (#159)
- GPT-5.3 Chat: 38.8 (#140)

| Benchmark | Command A | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1295 | 1397 |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- Command A: 45.3 (#170)
- GPT-5.3 Chat: 50.3 (#124)

| Benchmark | Command A | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1313 | 1382 |
| LMArena Chinese | 1327 | 1432 |
| LMArena French | 1351 | 1397 |
| LMArena German | 1341 | 1384 |
| LMArena Japanese | 1285 | 1352 |
| LMArena Korean | 1285 | 1346 |
| LMArena Russian | 1314 | 1400 |
| LMArena Spanish | 1347 | 1371 |

## Instruction Following

- Command A: 69.1 (#177)
- GPT-5.3 Chat: 72.8 (#129)

| Benchmark | Command A | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1309 | 1378 |

## Long Context

- Command A: 40.6 (#151)
- GPT-5.3 Chat: 42.6 (#120)

| Benchmark | Command A | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1334 | 1396 |

## Writing & Preference

- Command A: 47.6 (#208)
- GPT-5.3 Chat: 63.1 (#68)

| Benchmark | Command A | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1331 | 1389 |
| LMArena Creative Writing | 1319 | 1355 |
| EQ-Bench Creative Writing | 1145 | 1690 |
| LMArena Multi-Turn | 1339 | 1412 |

## FAQ

### Is Command A better than GPT-5.3 Chat?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 36.5 on the Noometry Index.

### Which is cheaper, Command A or GPT-5.3 Chat?

Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

### Is Command A or GPT-5.3 Chat better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 27.2 in the Noometry coding category.

### Which has the bigger context window?

Command A does, with 256K tokens against 128K.

### How many benchmarks do Command A and GPT-5.3 Chat share?

18 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-5.3 Chat has 18.