Model comparison
Command R vs GPT-4.5
GPT-4.5 is the stronger model overall, scoring 37.2 to 31.4 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Command R scores higher in 0 categories and GPT-4.5 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.5 leads 56.9 to 38.2.
- The biggest single-benchmark swing is LiveBench Coding: 17.9% for Command R and 75.2% for GPT-4.5.
- Command R has downloadable open weights; the other is API-only.
Side by side
| Command R | GPT-4.5 | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 31.4 | 37.2 |
| Released | 2024-08-30 | 2025-02-27 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 29 | 42 |
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Category by category
Coding GPT-4.5 leads
Command R: 29.3 (#306), GPT-4.5: 42.2 (#109)
| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LiveBench Coding | 17.9% | 75.2% |
| LMArena Coding | 1169 | 1396 |
| Aider Polyglot | — | 44.9% |
| WeirdML | — | 39.4% |
| BigCodeBench Instruct | 37.1% | — |
| BigCodeBench Complete | 45.2% | — |
Agentic & Tool Use Not comparable
Command R: —, GPT-4.5: 27.9 (#97)
| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| Cybench | — | 17.5% |
Reasoning Too close to call
Command R: 13.8 (#331), GPT-4.5: 13.9 (#330)
| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LiveBench Reasoning | 21.9% | 71.1% |
| LMArena Hard Prompts | 1164 | 1403 |
| LiveBench Data Analysis | 33.3% | 64.3% |
| LiveBench | 27.5% | 69% |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 34.5% |
| ARC-AGI-1 | — | 10.3% |
| EnigmaEval | — | 3.2% |
| DTBench | 46.4% | — |
| LMCA | 9.2% | — |
| Epoch Capabilities Index | — | 136.74 |
| ForecastBench | — | 61.7 |
Math GPT-4.5 leads
Command R: 28.0 (#246), GPT-4.5: 32.6 (#211)
| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LiveBench Math | 19.4% | 69.3% |
| LMArena Math | 1155 | 1412 |
| OTIS Mock AIME 2024-2025 | — | 37.8% |
| MATH Level 5 | — | 78.6% |
Knowledge GPT-4.5 leads
Command R: 31.0 (#221), GPT-4.5: 32.5 (#211)
| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LMArena Expert | 1138 | 1394 |
| GPQA Diamond | — | 68.7% |
| Humanity's Last Exam | — | 5.4% |
| Confabulations | — | 13.6% |
| MMLU | 65.2% | — |
Multimodal Not comparable
Command R: —, GPT-4.5: 37.6 (#71)
| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |
Multilingual GPT-4.5 leads
Command R: 35.7 (#245), GPT-4.5: 52.5 (#83)
| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1174 | 1413 |
| LMArena Chinese | 1182 | 1421 |
| LMArena French | 1162 | 1418 |
| LMArena German | 1176 | 1457 |
| LMArena Japanese | 1143 | 1416 |
| LMArena Korean | 1163 | 1392 |
| LMArena Russian | 1174 | 1419 |
| LMArena Spanish | 1151 | — |
Instruction Following GPT-4.5 leads
Command R: 58.1 (#261), GPT-4.5: 72.6 (#134)
| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LiveBench Instruction Following | 55.6% | 72.3% |
| LMArena Instruction Following | 1167 | 1404 |
Long Context GPT-4.5 leads
Command R: 36.3 (#231), GPT-4.5: 40.4 (#155)
| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1198 | 1406 |
| Fiction.LiveBench | — | 63.9% |
Writing & Preference GPT-4.5 leads
Command R: 38.2 (#254), GPT-4.5: 56.9 (#134)
| Benchmark | Command R | GPT-4.5 |
|---|---|---|
| LMArena Text | 1187 | 1417 |
| LMArena Creative Writing | 1170 | 1394 |
| LMArena Multi-Turn | 1163 | 1444 |
| LiveBench Language | 16.7% | 61.5% |
| Short-Story Creative Writing | — | 75.6% |
| EQ-Bench Creative Writing | — | 1258 |
Frequently asked questions
Is Command R better than GPT-4.5?
GPT-4.5 is the stronger model overall, scoring 37.2 to 31.4 on the Noometry Index.
Is Command R or GPT-4.5 better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 29.3 in the Noometry coding category.
How many benchmarks do Command R and GPT-4.5 share?
23 benchmarks have published results for both models. Command R has 29 scored results on Noometry and GPT-4.5 has 42.