Model comparison
Llama2 70b Steerlm Chat vs Qwen1.5 4b Chat
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 28.8 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 7 categories and Qwen1.5 4b Chat in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama2 70b Steerlm Chat leads 31.6 to 23.8.
Side by side
| Llama2 70b Steerlm Chat | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.8 | 28.8 |
| Released | — | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 13 |
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Category by category
Coding Too close to call
Llama2 70b Steerlm Chat: 29.9 (#300), Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | Llama2 70b Steerlm Chat | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1025 | 999 |
Reasoning Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 20.0 (#246), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | Llama2 70b Steerlm Chat | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1047 | 976 |
Math Too close to call
Llama2 70b Steerlm Chat: 31.3 (#226), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | Llama2 70b Steerlm Chat | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1072 | 1026 |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | Llama2 70b Steerlm Chat | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | — | 980 |
Multilingual Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 28.8 (#270), Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | Llama2 70b Steerlm Chat | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1063 | 979 |
| LMArena Chinese | — | 1024 |
| LMArena German | — | 902 |
| LMArena Russian | — | 952 |
Instruction Following Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 54.2 (#279), Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | Llama2 70b Steerlm Chat | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1060 | 978 |
Long Context Too close to call
Llama2 70b Steerlm Chat: 30.4 (#288), Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | Llama2 70b Steerlm Chat | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 998 | 988 |
Writing & Preference Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.6 (#283), Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | Llama2 70b Steerlm Chat | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1098 | 997 |
| LMArena Creative Writing | 1091 | 969 |
| LMArena Multi-Turn | 1058 | 977 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Qwen1.5 4b Chat?
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 28.8 on the Noometry Index.
Is Llama2 70b Steerlm Chat or Qwen1.5 4b Chat 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 Qwen1.5 4b Chat share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen1.5 4b Chat has 13.