Model comparison
Command R+ vs Llama 2-7B
Command R+ is the stronger model overall, scoring 32.4 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Cohere
MetaSummary
- They share 17 benchmarks with published results for both. Command R+ scores higher in 5 categories and Llama 2-7B in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Command R+ leads 43.5 to 28.0.
Side by side
| Command R+ | Llama 2-7B | |
|---|---|---|
| Provider | Cohere | Meta |
| Noometry Index | 32.4 | 29.1 |
| Released | 2024-08-30 | 2023-07-18 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 34 | 29 |
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Category by category
Coding Too close to call
Command R+: 29.1 (#309), Llama 2-7B: 29.2 (#307)
| Benchmark | Command R+ | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1187 | 1002 |
| BigCodeBench Instruct | 33.8% | — |
| LiveBench Coding | 19.1% | — |
| BigCodeBench Complete | 41.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 63.5% | — |
Reasoning Llama 2-7B leads
Command R+: 9.2 (#344), Llama 2-7B: 15.7 (#312)
| Benchmark | Command R+ | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1186 | 1009 |
| Epoch Capabilities Index | 119.34 | 99.06 |
| SimpleBench | 17.4% | — |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 24.8% | — |
| DTBench | 54.9% | — |
| LiveBench Data Analysis | 38.1% | — |
| LMCA | 5% | — |
| BIG-Bench Hard | — | 39.2% |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| LiveBench | 31.8% | — |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Llama 2-7B leads
Command R+: 28.9 (#242), Llama 2-7B: 30.7 (#233)
| Benchmark | Command R+ | Llama 2-7B |
|---|---|---|
| LMArena Math | 1188 | 1042 |
| LiveBench Math | 21.3% | — |
| GSM8K | — | 16.7% |
Knowledge Command R+ leads
Command R+: 36.4 (#169), Llama 2-7B: 28.2 (#248)
| Benchmark | Command R+ | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1174 | 1036 |
| MMLU | 69.4% | 45.8% |
| Vectara Hallucination Rate | 6.9% | — |
| 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+: 38.6 (#227), Llama 2-7B: 23.8 (#293)
| Benchmark | Command R+ | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1216 | 973 |
| LMArena Chinese | 1226 | 973 |
| LMArena French | 1209 | 970 |
| LMArena German | 1216 | 978 |
| LMArena Russian | 1227 | 995 |
| LMArena Spanish | 1189 | 1007 |
| LMArena Japanese | 1166 | — |
| LMArena Korean | 1138 | — |
Instruction Following Command R+ leads
Command R+: 60.0 (#254), Llama 2-7B: 50.8 (#298)
| Benchmark | Command R+ | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1197 | 1006 |
| LiveBench Instruction Following | 57.6% | — |
Long Context Command R+ leads
Command R+: 37.3 (#219), Llama 2-7B: 30.4 (#287)
| Benchmark | Command R+ | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1230 | 999 |
Writing & Preference Command R+ leads
Command R+: 43.5 (#228), Llama 2-7B: 28.0 (#298)
| Benchmark | Command R+ | Llama 2-7B |
|---|---|---|
| LMArena Text | 1229 | 1053 |
| LMArena Creative Writing | 1235 | 1033 |
| LMArena Multi-Turn | 1213 | 1029 |
| LiveBench Language | 29.7% | — |
Frequently asked questions
Is Command R+ better than Llama 2-7B?
Command R+ is the stronger model overall, scoring 32.4 to 29.1 on the Noometry Index.
Is Command R+ or Llama 2-7B better for coding?
They score almost the same on coding (29.1 vs 29.2); test both on your own repository before choosing.
How many benchmarks do Command R+ and Llama 2-7B share?
17 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and Llama 2-7B has 29.