Model comparison
Command R vs Llama 2-70B
Command R is the stronger model overall, scoring 31.0 to 24.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
Cohere
MetaSummary
- They share 19 benchmarks with published results for both. Command R scores higher in 6 categories and Llama 2-70B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Command R leads 30.5 to 7.4.
Side by side
| Command R | Llama 2-70B | |
|---|---|---|
| Provider | Cohere | Meta |
| Noometry Index | 31.0 | 24.1 |
| Released | 2024-08-30 | 2023-07-18 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 29 | 35 |
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Category by category
Coding Llama 2-70B leads
Command R: 28.8 (#301), Llama 2-70B: 30.8 (#281)
| Benchmark | Command R | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1170 | 1079 |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
Reasoning Too close to call
Command R: 13.3 (#329), Llama 2-70B: 13.7 (#324)
| Benchmark | Command R | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1073 |
| DTBench | 46.4% | 41.6% |
| LiveBench Reasoning | 21.9% | — |
| LiveBench Data Analysis | 33.3% | — |
| LMCA | 9.2% | — |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| Epoch Capabilities Index | — | 113.59 |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| LiveBench | 27.5% | — |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |
Math Command R leads
Command R: 25.8 (#244), Llama 2-70B: 7.5 (#320)
| Benchmark | Command R | Llama 2-70B |
|---|---|---|
| LMArena Math | 1155 | 1091 |
| OTIS Mock AIME 2024-2025 | — | 0% |
| LiveBench Math | 19.4% | — |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |
Knowledge Command R leads
Command R: 30.5 (#219), Llama 2-70B: 7.4 (#305)
| Benchmark | Command R | Llama 2-70B |
|---|---|---|
| LMArena Expert | 1138 | 1039 |
| MMLU | 65.2% | 69.9% |
| GPQA Diamond | — | 26.3% |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |
Multilingual Command R leads
Command R: 35.9 (#240), Llama 2-70B: 27.9 (#269)
| Benchmark | Command R | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1174 | 1045 |
| LMArena Chinese | 1182 | 994 |
| LMArena French | 1161 | 1089 |
| LMArena German | 1176 | 1041 |
| LMArena Japanese | 1143 | 927 |
| LMArena Korean | 1162 | 964 |
| LMArena Russian | 1174 | 1083 |
| LMArena Spanish | 1150 | 1142 |
Instruction Following Command R leads
Command R: 58.3 (#256), Llama 2-70B: 55.1 (#273)
| Benchmark | Command R | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1167 | 1071 |
| LiveBench Instruction Following | 55.6% | — |
Long Context Command R leads
Command R: 36.3 (#226), Llama 2-70B: 32.2 (#265)
| Benchmark | Command R | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1198 | 1062 |
Writing & Preference Command R leads
Command R: 38.4 (#248), Llama 2-70B: 32.5 (#274)
| Benchmark | Command R | Llama 2-70B |
|---|---|---|
| LMArena Text | 1187 | 1115 |
| LMArena Creative Writing | 1170 | 1075 |
| LMArena Multi-Turn | 1163 | 1088 |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than Llama 2-70B?
Command R is the stronger model overall, scoring 31.0 to 24.1 on the Noometry Index.
Is Command R or Llama 2-70B better for coding?
Llama 2-70B scores higher on coding benchmarks: 30.8 versus 28.8 in the Noometry coding category.
How many benchmarks do Command R and Llama 2-70B share?
19 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Llama 2-70B has 35.