# Command A vs GPT-5.5 Pro

> GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 36.5 on the Noometry Index. Command A costs 15× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/command-a-vs-gpt-5-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Command A scores higher in 0 categories and GPT-5.5 Pro in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 18.3.
- The biggest single-benchmark swing is LMCA: 10.3% for Command A and 53.9% for GPT-5.5 Pro.
- Command A is cheaper at $2.50 / $10 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 256K.
- Command A has downloadable open weights; the other is API-only.

## Snapshot

| | Command A | GPT-5.5 Pro |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 36.5 | 64.3 |
| Rank | 215 | 8 |
| Context | 256K | 1.05M |
| Input $/M | $2.50 | $30 |
| Output $/M | $10 | $180 |
| Weights | Open | Proprietary |

## Coding

- Command A: 27.2 (#322)
- GPT-5.5 Pro: —

| Benchmark | Command A | GPT-5.5 Pro |
|---|---|---|
| Aider Polyglot | 12% | — |
| LMArena Coding | 1330 | — |

## Agentic & Tool Use

- Command A: 35.9 (#40)
- GPT-5.5 Pro: —

| Benchmark | Command A | GPT-5.5 Pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |

## Reasoning

- Command A: 18.3 (#283)
- GPT-5.5 Pro: 73.3 (#10)

| Benchmark | Command A | GPT-5.5 Pro |
|---|---|---|
| DTBench | 61.3% | 96% |
| LMCA | 10.3% | 53.9% |
| ARC-AGI-2 | — | 84.6% |
| SimpleBench | — | 76.9% |
| Kagi LLM Benchmark | 28.8% | — |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30.6% |
| Chess Puzzles | — | 64% |
| LMArena Hard Prompts | 1326 | — |
| Epoch Capabilities Index | — | 162.07 |

## Math

- Command A: 36.2 (#171)
- GPT-5.5 Pro: 84.0 (#10)

| Benchmark | Command A | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 87.7% |
| FrontierMath Tier 4 | — | 78% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| LMArena Math | 1300 | — |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Tier 4 (v1) | — | 39.6% |

## Knowledge

- Command A: 37.1 (#159)
- GPT-5.5 Pro: 64.1 (#19)

| Benchmark | Command A | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | — | 93.9% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |

## Multilingual

- Command A: 45.3 (#170)
- GPT-5.5 Pro: —

| Benchmark | Command A | GPT-5.5 Pro |
|---|---|---|
| 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-5.5 Pro: —

| Benchmark | Command A | GPT-5.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1309 | — |

## Long Context

- Command A: 40.6 (#151)
- GPT-5.5 Pro: —

| Benchmark | Command A | GPT-5.5 Pro |
|---|---|---|
| LMArena Longer Query | 1334 | — |

## Writing & Preference

- Command A: 47.6 (#208)
- GPT-5.5 Pro: —

| Benchmark | Command A | GPT-5.5 Pro |
|---|---|---|
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| EQ-Bench Creative Writing | 1145 | — |
| LMArena Multi-Turn | 1339 | — |

## FAQ

### Is Command A better than GPT-5.5 Pro?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 36.5 on the Noometry Index. Command A costs 15× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

### Which is cheaper, Command A or GPT-5.5 Pro?

Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

### Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 256K.

### How many benchmarks do Command A and GPT-5.5 Pro share?

2 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-5.5 Pro has 14.