Model comparison
Llama2 70b Steerlm Chat vs Qwen2-72B
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 30.0 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIA
Alibaba (Qwen)Summary
- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 2 categories and Qwen2-72B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2-72B leads 40.8 to 31.6.
Side by side
| Llama2 70b Steerlm Chat | Qwen2-72B | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.8 | 30.0 |
| Released | — | 2024-06-07 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 26 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Llama2 70b Steerlm Chat: 29.9 (#300), Qwen2-72B: 29.1 (#310)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2-72B |
|---|---|---|
| LMArena Coding | 1025 | 1196 |
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| BigCodeBench Complete | — | 54% |
Agentic & Tool Use Not comparable
Llama2 70b Steerlm Chat: —, Qwen2-72B: 17.0 (#146)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |
Reasoning Qwen2-72B leads
Llama2 70b Steerlm Chat: 20.0 (#246), Qwen2-72B: 23.2 (#181)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1191 |
| Epoch Capabilities Index | — | 125.28 |
Math Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.3 (#226), Qwen2-72B: 30.2 (#236)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2-72B |
|---|---|---|
| LMArena Math | 1072 | 1235 |
| MATH Level 5 | — | 39.1% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Qwen2-72B: 21.2 (#275)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2-72B |
|---|---|---|
| GPQA Diamond | — | 40.8% |
| LMArena Expert | — | 1171 |
| MMLU | — | 82.4% |
Multilingual Qwen2-72B leads
Llama2 70b Steerlm Chat: 28.8 (#270), Qwen2-72B: 35.9 (#244)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 1063 | 1176 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1170 |
| LMArena German | — | 1151 |
| LMArena Japanese | — | 1111 |
| LMArena Korean | — | 1083 |
| LMArena Russian | — | 1169 |
| LMArena Spanish | — | 1169 |
Instruction Following Qwen2-72B leads
Llama2 70b Steerlm Chat: 54.2 (#279), Qwen2-72B: 61.7 (#241)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1060 | 1181 |
Long Context Qwen2-72B leads
Llama2 70b Steerlm Chat: 30.4 (#288), Qwen2-72B: 36.1 (#235)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 998 | 1192 |
Writing & Preference Qwen2-72B leads
Llama2 70b Steerlm Chat: 31.6 (#283), Qwen2-72B: 40.8 (#241)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2-72B |
|---|---|---|
| LMArena Text | 1098 | 1203 |
| LMArena Creative Writing | 1091 | 1181 |
| LMArena Multi-Turn | 1058 | 1196 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Qwen2-72B?
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 30.0 on the Noometry Index.
Is Llama2 70b Steerlm Chat or Qwen2-72B better for coding?
They score almost the same on coding (29.9 vs 29.1); test both on your own repository before choosing.
How many benchmarks do Llama2 70b Steerlm Chat and Qwen2-72B share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen2-72B has 26.