Model comparison
Llama 3-70B vs Qwen3-4B
Qwen3-4B is the stronger model overall, scoring 31.9 to 28.8 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Qwen3-4B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-4B leads 29.7 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 52.2% for Qwen3-4B.
Side by side
| Llama 3-70B | Qwen3-4B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.8 | 31.9 |
| Released | 2024-04-18 | 2025-04-29 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 31 | 6 |
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Category by category
Coding Not comparable
Llama 3-70B: 35.8 (#218), Qwen3-4B: —
| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| BigCodeBench Instruct | 43.6% | — |
| LMArena Coding | 1206 | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Qwen3-4B leads
Llama 3-70B: 21.1 (#139), Qwen3-4B: 27.6 (#100)
| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
| Cybench | 5% | — |
Reasoning Qwen3-4B leads
Llama 3-70B: 18.0 (#288), Qwen3-4B: 19.2 (#268)
| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1195 | — |
| DTBench | 54.2% | — |
| Epoch Capabilities Index | 122.93 | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Qwen3-4B leads
Llama 3-70B: 12.8 (#305), Qwen3-4B: 29.7 (#240)
| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 52.2% |
| MathArena Final-Answer Competitions | — | 38.5% |
| LMArena Math | 1218 | — |
| MATH Level 5 | 22.6% | — |
Knowledge Qwen3-4B leads
Llama 3-70B: 20.8 (#277), Qwen3-4B: 33.0 (#208)
| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| GPQA Diamond | 40.6% | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1149 | — |
| MMLU | 79.3% | — |
Multilingual Not comparable
Llama 3-70B: 33.6 (#251), Qwen3-4B: —
| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1142 | — |
| LMArena Chinese | 1114 | — |
| LMArena French | 1232 | — |
| LMArena German | 1169 | — |
| LMArena Japanese | 1017 | — |
| LMArena Korean | 1017 | — |
| LMArena Russian | 1159 | — |
| LMArena Spanish | 1241 | — |
Instruction Following Not comparable
Llama 3-70B: 62.5 (#238), Qwen3-4B: —
| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1194 | — |
Long Context Not comparable
Llama 3-70B: 35.6 (#240), Qwen3-4B: —
| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1174 | — |
Writing & Preference Not comparable
Llama 3-70B: 42.8 (#231), Qwen3-4B: —
| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| LMArena Text | 1221 | — |
| LMArena Creative Writing | 1210 | — |
| LMArena Multi-Turn | 1223 | — |
Frequently asked questions
Is Llama 3-70B better than Qwen3-4B?
Qwen3-4B is the stronger model overall, scoring 31.9 to 28.8 on the Noometry Index.
How many benchmarks do Llama 3-70B and Qwen3-4B share?
2 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3-4B has 6.