Model comparison
Llama 3-70B vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 28.5 on the Noometry Index.
Last verified . 4 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Llama 3-70B scores higher in 1 category and Qwen3.5-9B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 61.7% for Qwen3.5-9B.
Side by side
| Llama 3-70B | Qwen3.5-9B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.5 | 33.3 |
| Released | 2024-04-18 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 31 | 10 |
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Category by category
Coding Too close to call
Llama 3-70B: 35.3 (#215), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Llama 3-70B | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| BigCodeBench Instruct | 43.6% | — |
| LMArena Coding | 1206 | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Llama 3-70B leads
Llama 3-70B: 20.9 (#132), Qwen3.5-9B: 14.4 (#143)
| Benchmark | Llama 3-70B | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
| Cybench | 5% | — |
Reasoning Qwen3.5-9B leads
Llama 3-70B: 17.4 (#284), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Llama 3-70B | Qwen3.5-9B |
|---|---|---|
| DTBench | 54.2% | 71.2% |
| Epoch Capabilities Index | 122.91 | 139.45 |
| Kagi LLM Benchmark | 35.1% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1195 | — |
| LMCA | — | 24.5% |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Qwen3.5-9B leads
Llama 3-70B: 12.0 (#299), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Llama 3-70B | Qwen3.5-9B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 61.7% |
| MathArena Final-Answer Competitions | — | 48.5% |
| LMArena Math | 1218 | — |
| MATH Level 5 | 22.6% | — |
Knowledge Qwen3.5-9B leads
Llama 3-70B: 20.8 (#272), Qwen3.5-9B: 46.0 (#77)
| Benchmark | Llama 3-70B | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | 40.6% | 79% |
| LMArena Expert | 1149 | — |
| MMLU | 79.3% | — |
Multilingual Not comparable
Llama 3-70B: 33.8 (#246), Qwen3.5-9B: —
| Benchmark | Llama 3-70B | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1142 | — |
| LMArena Chinese | 1114 | — |
| LMArena French | 1231 | — |
| LMArena German | 1169 | — |
| LMArena Japanese | 1017 | — |
| LMArena Korean | 1017 | — |
| LMArena Russian | 1159 | — |
| LMArena Spanish | 1241 | — |
Instruction Following Not comparable
Llama 3-70B: 62.8 (#233), Qwen3.5-9B: —
| Benchmark | Llama 3-70B | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1194 | — |
Long Context Not comparable
Llama 3-70B: 35.6 (#235), Qwen3.5-9B: —
| Benchmark | Llama 3-70B | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1174 | — |
Writing & Preference Not comparable
Llama 3-70B: 43.0 (#225), Qwen3.5-9B: —
| Benchmark | Llama 3-70B | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1221 | — |
| LMArena Creative Writing | 1210 | — |
| LMArena Multi-Turn | 1223 | — |
Frequently asked questions
Is Llama 3-70B better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 28.5 on the Noometry Index.
Is Llama 3-70B or Qwen3.5-9B better for coding?
They score almost the same on coding (35.3 vs 35.3); test both on your own repository before choosing.
How many benchmarks do Llama 3-70B and Qwen3.5-9B share?
4 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3.5-9B has 10.