Model comparison
Command A vs GPT-5.2 Codex
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 36.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
CohereSummary
- The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 27.2.
- Command A is cheaper at $2.50 / $10 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 Codex accepts more context: 400K tokens versus 256K.
- Command A has downloadable open weights; the other is API-only.
Side by side
| Command A | GPT-5.2 Codex | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 36.5 | 42.6 |
| Released | 2025-03-13 | 2025-12-18 |
| Weights | Open | Proprietary |
| Context window | 256K | 400K |
| Max output | 8K | 128K |
| Input $ / M tokens | $2.50 | $1.75 |
| Output $ / M tokens | $10 | $14 |
| Results tracked | 24 | 5 |
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Category by category
Coding GPT-5.2 Codex leads
Command A: 27.2 (#322), GPT-5.2 Codex: 45.5 (#71)
| Benchmark | Command A | GPT-5.2 Codex |
|---|---|---|
| SWE-bench Verified (bash only) | — | 72.8% |
| Aider Polyglot | 12% | — |
| LMArena WebDev | — | 1339 |
| SWE-bench Multilingual | — | 66.3% |
| LMArena Coding | 1330 | — |
| ALE-Bench | — | 1,300 |
Agentic & Tool Use GPT-5.2 Codex leads
Command A: 35.9 (#40), GPT-5.2 Codex: 41.0 (#22)
| Benchmark | Command A | GPT-5.2 Codex |
|---|---|---|
| Terminal-Bench | — | 66.5% |
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Not comparable
Command A: 18.3 (#283), GPT-5.2 Codex: —
| Benchmark | Command A | GPT-5.2 Codex |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | — |
| LMArena Hard Prompts | 1326 | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
Math Not comparable
Command A: 36.2 (#171), GPT-5.2 Codex: —
| Benchmark | Command A | GPT-5.2 Codex |
|---|---|---|
| LMArena Math | 1300 | — |
Knowledge Not comparable
Command A: 37.1 (#159), GPT-5.2 Codex: —
| Benchmark | Command A | GPT-5.2 Codex |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |
Multilingual Not comparable
Command A: 45.3 (#170), GPT-5.2 Codex: —
| Benchmark | Command A | GPT-5.2 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 Not comparable
Command A: 69.1 (#177), GPT-5.2 Codex: —
| Benchmark | Command A | GPT-5.2 Codex |
|---|---|---|
| LMArena Instruction Following | 1309 | — |
Long Context Not comparable
Command A: 40.6 (#151), GPT-5.2 Codex: —
| Benchmark | Command A | GPT-5.2 Codex |
|---|---|---|
| LMArena Longer Query | 1334 | — |
Writing & Preference Not comparable
Command A: 47.6 (#208), GPT-5.2 Codex: —
| Benchmark | Command A | GPT-5.2 Codex |
|---|---|---|
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| EQ-Bench Creative Writing | 1145 | — |
| LMArena Multi-Turn | 1339 | — |
Frequently asked questions
Is Command A better than GPT-5.2 Codex?
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 36.5 on the Noometry Index.
Which is cheaper, Command A or GPT-5.2 Codex?
Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.
Is Command A or GPT-5.2 Codex better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 27.2 in the Noometry coding category.
Which has the bigger context window?
GPT-5.2 Codex does, with 400K tokens against 256K.
How many benchmarks do Command A and GPT-5.2 Codex share?
0 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-5.2 Codex has 5.