Model comparison
Command R vs DeepSeek-R1-Distill-Qwen-1.5B
Command R is the stronger model overall, scoring 31.0 to 25.7 on the Noometry Index.
Last verified . 2 shared benchmarks.
Cohere
DeepSeekSummary
- They share 2 benchmarks with published results for both. Command R scores higher in 3 categories and DeepSeek-R1-Distill-Qwen-1.5B in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Command R leads 30.5 to 16.0.
- The biggest single-benchmark swing is BigCodeBench Complete: 45.2% for Command R and 7.9% for DeepSeek-R1-Distill-Qwen-1.5B.
Side by side
| Command R | DeepSeek-R1-Distill-Qwen-1.5B | |
|---|---|---|
| Provider | Cohere | DeepSeek |
| Noometry Index | 31.0 | 25.7 |
| Released | 2024-08-30 | 2025-01-20 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 29 | 5 |
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Category by category
Coding Command R leads
Command R: 28.8 (#301), DeepSeek-R1-Distill-Qwen-1.5B: 21.4 (#331)
| Benchmark | Command R | DeepSeek-R1-Distill-Qwen-1.5B |
|---|---|---|
| BigCodeBench Instruct | 37.1% | 7% |
| BigCodeBench Complete | 45.2% | 7.9% |
| LiveBench Coding | 17.9% | — |
| LMArena Coding | 1170 | — |
Reasoning DeepSeek-R1-Distill-Qwen-1.5B leads
Command R: 13.3 (#329), DeepSeek-R1-Distill-Qwen-1.5B: 18.5 (#258)
| Benchmark | Command R | DeepSeek-R1-Distill-Qwen-1.5B |
|---|---|---|
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 21.9% | — |
| LMArena Hard Prompts | 1164 | — |
| DTBench | 46.4% | — |
| LiveBench Data Analysis | 33.3% | — |
| LMCA | 9.2% | — |
| LiveBench | 27.5% | — |
Math Command R leads
Command R: 25.8 (#244), DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#268)
| Benchmark | Command R | DeepSeek-R1-Distill-Qwen-1.5B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 21.4% |
| LiveBench Math | 19.4% | — |
| LMArena Math | 1155 | — |
Knowledge Command R leads
Command R: 30.5 (#219), DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#284)
| Benchmark | Command R | DeepSeek-R1-Distill-Qwen-1.5B |
|---|---|---|
| GPQA Diamond | — | 33.6% |
| LMArena Expert | 1138 | — |
| MMLU | 65.2% | — |
Multilingual Not comparable
Command R: 35.9 (#240), DeepSeek-R1-Distill-Qwen-1.5B: —
| Benchmark | Command R | DeepSeek-R1-Distill-Qwen-1.5B |
|---|---|---|
| LMArena Non-English | 1174 | — |
| LMArena Chinese | 1182 | — |
| LMArena French | 1161 | — |
| LMArena German | 1176 | — |
| LMArena Japanese | 1143 | — |
| LMArena Korean | 1162 | — |
| LMArena Russian | 1174 | — |
| LMArena Spanish | 1150 | — |
Instruction Following Not comparable
Command R: 58.3 (#256), DeepSeek-R1-Distill-Qwen-1.5B: —
| Benchmark | Command R | DeepSeek-R1-Distill-Qwen-1.5B |
|---|---|---|
| LiveBench Instruction Following | 55.6% | — |
| LMArena Instruction Following | 1167 | — |
Long Context Not comparable
Command R: 36.3 (#226), DeepSeek-R1-Distill-Qwen-1.5B: —
| Benchmark | Command R | DeepSeek-R1-Distill-Qwen-1.5B |
|---|---|---|
| LMArena Longer Query | 1198 | — |
Writing & Preference Not comparable
Command R: 38.4 (#248), DeepSeek-R1-Distill-Qwen-1.5B: —
| Benchmark | Command R | DeepSeek-R1-Distill-Qwen-1.5B |
|---|---|---|
| LMArena Text | 1187 | — |
| LMArena Creative Writing | 1170 | — |
| LMArena Multi-Turn | 1163 | — |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than DeepSeek-R1-Distill-Qwen-1.5B?
Command R is the stronger model overall, scoring 31.0 to 25.7 on the Noometry Index.
Is Command R or DeepSeek-R1-Distill-Qwen-1.5B better for coding?
Command R scores higher on coding benchmarks: 28.8 versus 21.4 in the Noometry coding category.
How many benchmarks do Command R and DeepSeek-R1-Distill-Qwen-1.5B share?
2 benchmarks have published results for both models. Command R has 29 scored results on Noometry and DeepSeek-R1-Distill-Qwen-1.5B has 5.