Model comparison
Command R vs GPT-5.3 Chat
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 31.0 on the Noometry Index. Command R costs 18× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
CohereSummary
- They share 17 benchmarks with published results for both. Command R 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 63.3 to 38.4.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- Command R has downloadable open weights; the other is API-only.
Side by side
| Command R | GPT-5.3 Chat | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 31.0 | 42.1 |
| Released | 2024-08-30 | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | 128K | 128K |
| Max output | 4K | 16K |
| Input $ / M tokens | $0.15 | $1.75 |
| Output $ / M tokens | $0.60 | $14 |
| Results tracked | 29 | 18 |
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Category by category
Coding GPT-5.3 Chat leads
Command R: 28.8 (#301), GPT-5.3 Chat: 40.8 (#124)
| Benchmark | Command R | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1170 | 1408 |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
Reasoning GPT-5.3 Chat leads
Command R: 13.3 (#329), GPT-5.3 Chat: 27.3 (#105)
| Benchmark | Command R | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1399 |
| LiveBench Reasoning | 21.9% | — |
| DTBench | 46.4% | — |
| LiveBench Data Analysis | 33.3% | — |
| LMCA | 9.2% | — |
| LiveBench | 27.5% | — |
Math GPT-5.3 Chat leads
Command R: 25.8 (#244), GPT-5.3 Chat: 35.4 (#146)
| Benchmark | Command R | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1155 | 1389 |
| LiveBench Math | 19.4% | — |
Knowledge GPT-5.3 Chat leads
Command R: 30.5 (#219), GPT-5.3 Chat: 38.2 (#137)
| Benchmark | Command R | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1138 | 1397 |
| MMLU | 65.2% | — |
Multilingual GPT-5.3 Chat leads
Command R: 35.9 (#240), GPT-5.3 Chat: 50.5 (#119)
| Benchmark | Command R | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1174 | 1383 |
| LMArena Chinese | 1182 | 1433 |
| LMArena French | 1161 | 1398 |
| LMArena German | 1176 | 1384 |
| LMArena Japanese | 1143 | 1351 |
| LMArena Korean | 1162 | 1347 |
| LMArena Russian | 1174 | 1400 |
| LMArena Spanish | 1150 | 1371 |
Instruction Following GPT-5.3 Chat leads
Command R: 58.3 (#256), GPT-5.3 Chat: 73.0 (#124)
| Benchmark | Command R | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1167 | 1378 |
| LiveBench Instruction Following | 55.6% | — |
Long Context GPT-5.3 Chat leads
Command R: 36.3 (#226), GPT-5.3 Chat: 42.6 (#115)
| Benchmark | Command R | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1198 | 1396 |
Writing & Preference GPT-5.3 Chat leads
Command R: 38.4 (#248), GPT-5.3 Chat: 63.3 (#65)
| Benchmark | Command R | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1187 | 1389 |
| LMArena Creative Writing | 1170 | 1356 |
| LMArena Multi-Turn | 1163 | 1413 |
| EQ-Bench Creative Writing | — | 1690 |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than GPT-5.3 Chat?
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 31.0 on the Noometry Index. Command R costs 18× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Which is cheaper, Command R or GPT-5.3 Chat?
Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is Command R or GPT-5.3 Chat better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 28.8 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Command R and GPT-5.3 Chat share?
17 benchmarks have published results for both models. Command R has 29 scored results on Noometry and GPT-5.3 Chat has 18.