Model comparison
Command R+ vs DeepSeek LLM 67B
Command R+ is the stronger model overall, scoring 32.4 to 24.9 on the Noometry Index.
Last verified . 11 shared benchmarks.
Cohere
DeepSeekSummary
- They share 11 benchmarks with published results for both. Command R+ scores higher in 6 categories and DeepSeek LLM 67B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Command R+ leads 36.4 to 7.0.
Side by side
| Command R+ | DeepSeek LLM 67B | |
|---|---|---|
| Provider | Cohere | DeepSeek |
| Noometry Index | 32.4 | 24.9 |
| Released | 2024-08-30 | 2023-11-29 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 34 | 15 |
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Category by category
Coding DeepSeek LLM 67B leads
Command R+: 29.1 (#309), DeepSeek LLM 67B: 31.9 (#278)
| Benchmark | Command R+ | DeepSeek LLM 67B |
|---|---|---|
| LMArena Coding | 1187 | 1096 |
| BigCodeBench Instruct | 33.8% | — |
| LiveBench Coding | 19.1% | — |
| BigCodeBench Complete | 41.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 63.5% | — |
Reasoning DeepSeek LLM 67B leads
Command R+: 9.2 (#344), DeepSeek LLM 67B: 16.5 (#304)
| Benchmark | Command R+ | DeepSeek LLM 67B |
|---|---|---|
| LMArena Hard Prompts | 1186 | 1070 |
| Epoch Capabilities Index | 119.34 | 110.5 |
| SimpleBench | 17.4% | — |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 24.8% | — |
| DTBench | 54.9% | — |
| LiveBench Data Analysis | 38.1% | — |
| LMCA | 5% | — |
| LiveBench | 31.8% | — |
Math Command R+ leads
Command R+: 28.9 (#242), DeepSeek LLM 67B: 8.7 (#324)
| Benchmark | Command R+ | DeepSeek LLM 67B |
|---|---|---|
| LMArena Math | 1188 | 1108 |
| OTIS Mock AIME 2024-2025 | — | 0.8% |
| LiveBench Math | 21.3% | — |
| MATH Level 5 | — | 6.4% |
Knowledge Command R+ leads
Command R+: 36.4 (#169), DeepSeek LLM 67B: 7.0 (#313)
| Benchmark | Command R+ | DeepSeek LLM 67B |
|---|---|---|
| GPQA Diamond | — | 24.6% |
| Vectara Hallucination Rate | 6.9% | — |
| LMArena Expert | 1174 | — |
| MMLU | 69.4% | — |
Multilingual Command R+ leads
Command R+: 38.6 (#227), DeepSeek LLM 67B: 29.4 (#267)
| Benchmark | Command R+ | DeepSeek LLM 67B |
|---|---|---|
| LMArena Non-English | 1216 | 1073 |
| LMArena Chinese | 1226 | 1132 |
| LMArena French | 1209 | — |
| LMArena German | 1216 | — |
| LMArena Japanese | 1166 | — |
| LMArena Korean | 1138 | — |
| LMArena Russian | 1227 | — |
| LMArena Spanish | 1189 | — |
Instruction Following Command R+ leads
Command R+: 60.0 (#254), DeepSeek LLM 67B: 55.4 (#277)
| Benchmark | Command R+ | DeepSeek LLM 67B |
|---|---|---|
| LMArena Instruction Following | 1197 | 1079 |
| LiveBench Instruction Following | 57.6% | — |
Long Context Command R+ leads
Command R+: 37.3 (#219), DeepSeek LLM 67B: 33.1 (#265)
| Benchmark | Command R+ | DeepSeek LLM 67B |
|---|---|---|
| LMArena Longer Query | 1230 | 1092 |
Writing & Preference Command R+ leads
Command R+: 43.5 (#228), DeepSeek LLM 67B: 31.6 (#282)
| Benchmark | Command R+ | DeepSeek LLM 67B |
|---|---|---|
| LMArena Text | 1229 | 1105 |
| LMArena Creative Writing | 1235 | 1067 |
| LMArena Multi-Turn | 1213 | 1082 |
| LiveBench Language | 29.7% | — |
Frequently asked questions
Is Command R+ better than DeepSeek LLM 67B?
Command R+ is the stronger model overall, scoring 32.4 to 24.9 on the Noometry Index.
Is Command R+ or DeepSeek LLM 67B better for coding?
DeepSeek LLM 67B scores higher on coding benchmarks: 31.9 versus 29.1 in the Noometry coding category.
How many benchmarks do Command R+ and DeepSeek LLM 67B share?
11 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and DeepSeek LLM 67B has 15.