Model comparison
Command R vs Llama 3.1 Tulu 3 8b
Llama 3.1 Tulu 3 8b is the stronger model overall, scoring 35.7 to 31.4 on the Noometry Index.
Last verified . 11 shared benchmarks.
Cohere
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Command R scores higher in 2 categories and Llama 3.1 Tulu 3 8b in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Llama 3.1 Tulu 3 8b leads 22.8 to 13.8.
Side by side
| Command R | Llama 3.1 Tulu 3 8b | |
|---|---|---|
| Provider | Cohere | Allen Institute for AI (Ai2) |
| Noometry Index | 31.4 | 35.7 |
| Released | 2024-08-30 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 29 | 11 |
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Category by category
Coding Llama 3.1 Tulu 3 8b leads
Command R: 29.3 (#306), Llama 3.1 Tulu 3 8b: 34.4 (#235)
| Benchmark | Command R | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Coding | 1169 | 1183 |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
Reasoning Llama 3.1 Tulu 3 8b leads
Command R: 13.8 (#331), Llama 3.1 Tulu 3 8b: 22.8 (#188)
| Benchmark | Command R | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1174 |
| LiveBench Reasoning | 21.9% | — |
| DTBench | 46.4% | — |
| LiveBench Data Analysis | 33.3% | — |
| LMCA | 9.2% | — |
| LiveBench | 27.5% | — |
Math Llama 3.1 Tulu 3 8b leads
Command R: 28.0 (#246), Llama 3.1 Tulu 3 8b: 33.9 (#198)
| Benchmark | Command R | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Math | 1155 | 1195 |
| LiveBench Math | 19.4% | — |
Knowledge Not comparable
Command R: 31.0 (#221), Llama 3.1 Tulu 3 8b: —
| Benchmark | Command R | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Expert | 1138 | — |
| MMLU | 65.2% | — |
Multilingual Too close to call
Command R: 35.7 (#245), Llama 3.1 Tulu 3 8b: 35.4 (#246)
| Benchmark | Command R | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Non-English | 1174 | 1169 |
| LMArena Chinese | 1182 | 1176 |
| LMArena Russian | 1174 | 1193 |
| LMArena French | 1162 | — |
| LMArena German | 1176 | — |
| LMArena Japanese | 1143 | — |
| LMArena Korean | 1163 | — |
| LMArena Spanish | 1151 | — |
Instruction Following Llama 3.1 Tulu 3 8b leads
Command R: 58.1 (#261), Llama 3.1 Tulu 3 8b: 61.3 (#246)
| Benchmark | Command R | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Instruction Following | 1167 | 1174 |
| LiveBench Instruction Following | 55.6% | — |
Long Context Too close to call
Command R: 36.3 (#231), Llama 3.1 Tulu 3 8b: 35.8 (#239)
| Benchmark | Command R | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Longer Query | 1198 | 1181 |
Writing & Preference Llama 3.1 Tulu 3 8b leads
Command R: 38.2 (#254), Llama 3.1 Tulu 3 8b: 39.7 (#245)
| Benchmark | Command R | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Text | 1187 | 1193 |
| LMArena Creative Writing | 1170 | 1182 |
| LMArena Multi-Turn | 1163 | 1154 |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than Llama 3.1 Tulu 3 8b?
Llama 3.1 Tulu 3 8b is the stronger model overall, scoring 35.7 to 31.4 on the Noometry Index.
Is Command R or Llama 3.1 Tulu 3 8b better for coding?
Llama 3.1 Tulu 3 8b scores higher on coding benchmarks: 34.4 versus 29.3 in the Noometry coding category.
How many benchmarks do Command R and Llama 3.1 Tulu 3 8b share?
11 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Llama 3.1 Tulu 3 8b has 11.