Model comparison
Command R vs Llama 2-7B
Command R is the stronger model overall, scoring 31.4 to 29.1 on the Noometry Index.
Last verified . 16 shared benchmarks.
Cohere
MetaSummary
- They share 16 benchmarks with published results for both. Command R scores higher in 6 categories and Llama 2-7B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Command R leads 35.7 to 23.8.
Side by side
| Command R | Llama 2-7B | |
|---|---|---|
| Provider | Cohere | Meta |
| Noometry Index | 31.4 | 29.1 |
| 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 | 29 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Command R: 29.3 (#306), Llama 2-7B: 29.2 (#307)
| Benchmark | Command R | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1169 | 1002 |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
Reasoning Llama 2-7B leads
Command R: 13.8 (#331), Llama 2-7B: 15.7 (#312)
| Benchmark | Command R | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1009 |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 21.9% | — |
| DTBench | 46.4% | — |
| LiveBench Data Analysis | 33.3% | — |
| LMCA | 9.2% | — |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 99.06 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| LiveBench | 27.5% | — |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Llama 2-7B leads
Command R: 28.0 (#246), Llama 2-7B: 30.7 (#233)
| Benchmark | Command R | Llama 2-7B |
|---|---|---|
| LMArena Math | 1155 | 1042 |
| LiveBench Math | 19.4% | — |
| GSM8K | — | 16.7% |
Knowledge Command R leads
Command R: 31.0 (#221), Llama 2-7B: 28.2 (#248)
| Benchmark | Command R | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1138 | 1036 |
| MMLU | 65.2% | 45.8% |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Command R: —, Llama 2-7B: —
| Benchmark | Command R | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |
Multilingual Command R leads
Command R: 35.7 (#245), Llama 2-7B: 23.8 (#293)
| Benchmark | Command R | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1174 | 973 |
| LMArena Chinese | 1182 | 973 |
| LMArena French | 1162 | 970 |
| LMArena German | 1176 | 978 |
| LMArena Russian | 1174 | 995 |
| LMArena Spanish | 1151 | 1007 |
| LMArena Japanese | 1143 | — |
| LMArena Korean | 1163 | — |
Instruction Following Command R leads
Command R: 58.1 (#261), Llama 2-7B: 50.8 (#298)
| Benchmark | Command R | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1167 | 1006 |
| LiveBench Instruction Following | 55.6% | — |
Long Context Command R leads
Command R: 36.3 (#231), Llama 2-7B: 30.4 (#287)
| Benchmark | Command R | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1198 | 999 |
Writing & Preference Command R leads
Command R: 38.2 (#254), Llama 2-7B: 28.0 (#298)
| Benchmark | Command R | Llama 2-7B |
|---|---|---|
| LMArena Text | 1187 | 1053 |
| LMArena Creative Writing | 1170 | 1033 |
| LMArena Multi-Turn | 1163 | 1029 |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than Llama 2-7B?
Command R is the stronger model overall, scoring 31.4 to 29.1 on the Noometry Index.
Is Command R or Llama 2-7B better for coding?
They score almost the same on coding (29.3 vs 29.2); test both on your own repository before choosing.
How many benchmarks do Command R and Llama 2-7B share?
16 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Llama 2-7B has 29.