Model comparison
Command A vs GPT-4.5
Command A and GPT-4.5 score almost the same on the Noometry Index (36.5 vs 37.2), so choose on price, context window or the category you care about most.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Command A scores higher in 5 categories and GPT-4.5 in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-4.5 leads 42.2 to 27.2.
- The biggest single-benchmark swing is Aider Polyglot: 12% for Command A and 44.9% for GPT-4.5.
- Command A has downloadable open weights; the other is API-only.
Side by side
| Command A | GPT-4.5 | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 36.5 | 37.2 |
| Released | 2025-03-13 | 2025-02-27 |
| Weights | Open | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 24 | 42 |
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Category by category
Coding GPT-4.5 leads
Command A: 27.2 (#322), GPT-4.5: 42.2 (#109)
| Benchmark | Command A | GPT-4.5 |
|---|---|---|
| Aider Polyglot | 12% | 44.9% |
| LMArena Coding | 1330 | 1396 |
| WeirdML | — | 39.4% |
| LiveBench Coding | — | 75.2% |
Agentic & Tool Use Command A leads
Command A: 35.9 (#40), GPT-4.5: 27.9 (#97)
| Benchmark | Command A | GPT-4.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
| Cybench | — | 17.5% |
Reasoning Command A leads
Command A: 18.3 (#283), GPT-4.5: 13.9 (#330)
| Benchmark | Command A | GPT-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1403 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 34.5% |
| Kagi LLM Benchmark | 28.8% | — |
| ARC-AGI-1 | — | 10.3% |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| DTBench | 61.3% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 10.3% | — |
| Epoch Capabilities Index | — | 136.74 |
| ForecastBench | — | 61.7 |
| LiveBench | — | 69% |
Math Command A leads
Command A: 36.2 (#171), GPT-4.5: 32.6 (#211)
| Benchmark | Command A | GPT-4.5 |
|---|---|---|
| LMArena Math | 1300 | 1412 |
| OTIS Mock AIME 2024-2025 | — | 37.8% |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |
Knowledge Command A leads
Command A: 37.1 (#159), GPT-4.5: 32.5 (#211)
| Benchmark | Command A | GPT-4.5 |
|---|---|---|
| LMArena Expert | 1295 | 1394 |
| GPQA Diamond | — | 68.7% |
| Humanity's Last Exam | — | 5.4% |
| Confabulations | — | 13.6% |
| Vectara Hallucination Rate | 9.3% | — |
Multimodal Not comparable
Command A: —, GPT-4.5: 37.6 (#71)
| Benchmark | Command A | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |
Multilingual GPT-4.5 leads
Command A: 45.3 (#170), GPT-4.5: 52.5 (#83)
| Benchmark | Command A | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1313 | 1413 |
| LMArena Chinese | 1327 | 1421 |
| LMArena French | 1351 | 1418 |
| LMArena German | 1341 | 1457 |
| LMArena Japanese | 1285 | 1416 |
| LMArena Korean | 1285 | 1392 |
| LMArena Russian | 1314 | 1419 |
| LMArena Spanish | 1347 | — |
Instruction Following GPT-4.5 leads
Command A: 69.1 (#177), GPT-4.5: 72.6 (#134)
| Benchmark | Command A | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1309 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
Long Context Too close to call
Command A: 40.6 (#151), GPT-4.5: 40.4 (#155)
| Benchmark | Command A | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1334 | 1406 |
| Fiction.LiveBench | — | 63.9% |
Writing & Preference GPT-4.5 leads
Command A: 47.6 (#208), GPT-4.5: 56.9 (#134)
| Benchmark | Command A | GPT-4.5 |
|---|---|---|
| LMArena Text | 1331 | 1417 |
| LMArena Creative Writing | 1319 | 1394 |
| EQ-Bench Creative Writing | 1145 | 1258 |
| LMArena Multi-Turn | 1339 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is Command A better than GPT-4.5?
Command A and GPT-4.5 score almost the same on the Noometry Index (36.5 vs 37.2), so choose on price, context window or the category you care about most.
Is Command A or GPT-4.5 better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 27.2 in the Noometry coding category.
How many benchmarks do Command A and GPT-4.5 share?
18 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-4.5 has 42.