Model comparison
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.
Last verified . 18 shared benchmarks.
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.
Side by side
| Command A | GPT-5.3 Chat | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 36.5 | 42.8 |
| Released | 2025-03-13 | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | 256K | 128K |
| Max output | 8K | 16K |
| Input $ / M tokens | $2.50 | $1.75 |
| Output $ / M tokens | $10 | $14 |
| Results tracked | 24 | 18 |
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Category by category
Coding GPT-5.3 Chat leads
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 Not comparable
Command A: 35.9 (#40), GPT-5.3 Chat: —
| Benchmark | Command A | GPT-5.3 Chat |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning GPT-5.3 Chat leads
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 GPT-5.3 Chat leads
Command A: 36.2 (#171), GPT-5.3 Chat: 38.2 (#142)
| Benchmark | Command A | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1300 | 1389 |
Knowledge GPT-5.3 Chat leads
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 GPT-5.3 Chat leads
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 GPT-5.3 Chat leads
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 GPT-5.3 Chat leads
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 GPT-5.3 Chat leads
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 |
Frequently asked questions
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.