Model comparison
Llama2 70b Steerlm Chat vs Qwen3-4B
Llama2 70b Steerlm Chat and Qwen3-4B score almost the same on the Noometry Index (31.8 vs 31.9), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
NVIDIA
Alibaba (Qwen)Side by side
| Llama2 70b Steerlm Chat | Qwen3-4B | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.8 | 31.9 |
| Released | — | 2025-04-29 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 6 |
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Category by category
Coding Not comparable
Llama2 70b Steerlm Chat: 29.9 (#300), Qwen3-4B: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen3-4B |
|---|---|---|
| LMArena Coding | 1025 | — |
Agentic & Tool Use Not comparable
Llama2 70b Steerlm Chat: —, Qwen3-4B: 27.6 (#100)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
Reasoning Too close to call
Llama2 70b Steerlm Chat: 20.0 (#246), Qwen3-4B: 19.2 (#268)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1047 | — |
Math Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.3 (#226), Qwen3-4B: 29.7 (#240)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1072 | — |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Qwen3-4B: 33.0 (#208)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
Multilingual Not comparable
Llama2 70b Steerlm Chat: 28.8 (#270), Qwen3-4B: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1063 | — |
Instruction Following Not comparable
Llama2 70b Steerlm Chat: 54.2 (#279), Qwen3-4B: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Llama2 70b Steerlm Chat: 30.4 (#288), Qwen3-4B: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 998 | — |
Writing & Preference Not comparable
Llama2 70b Steerlm Chat: 31.6 (#283), Qwen3-4B: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen3-4B |
|---|---|---|
| LMArena Text | 1098 | — |
| LMArena Creative Writing | 1091 | — |
| LMArena Multi-Turn | 1058 | — |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Qwen3-4B?
Llama2 70b Steerlm Chat and Qwen3-4B score almost the same on the Noometry Index (31.8 vs 31.9), so choose on price, context window or the category you care about most.
How many benchmarks do Llama2 70b Steerlm Chat and Qwen3-4B share?
0 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen3-4B has 6.