Model comparison
Llama 3-70B vs Qwen3.6 35B-A3B
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 28.8 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 0 categories and Qwen3.6 35B-A3B in 5 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.3 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 86.7% for Qwen3.6 35B-A3B.
Side by side
| Llama 3-70B | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.8 | 37.6 |
| Released | 2024-04-18 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 31 | 14 |
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Category by category
Coding Qwen3.6 35B-A3B leads
Llama 3-70B: 35.8 (#218), Qwen3.6 35B-A3B: 37.2 (#196)
| Benchmark | Llama 3-70B | Qwen3.6 35B-A3B |
|---|---|---|
| SciCode | — | 35.8% |
| WeirdML | — | 34.5% |
| BigCodeBench Instruct | 43.6% | — |
| LMArena Coding | 1206 | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Too close to call
Llama 3-70B: 21.1 (#139), Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | Llama 3-70B | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
| Cybench | 5% | — |
Reasoning Qwen3.6 35B-A3B leads
Llama 3-70B: 18.0 (#288), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | Llama 3-70B | Qwen3.6 35B-A3B |
|---|---|---|
| DTBench | 54.2% | 73.9% |
| Epoch Capabilities Index | 122.93 | 143.93 |
| Kagi LLM Benchmark | 35.1% | — |
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| LMArena Hard Prompts | 1195 | — |
| Mystery Game Puzzles | — | 22% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Qwen3.6 35B-A3B leads
Llama 3-70B: 12.8 (#305), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | Llama 3-70B | Qwen3.6 35B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 20.4% |
| LMArena Math | 1218 | — |
| MATH Level 5 | 22.6% | — |
Knowledge Qwen3.6 35B-A3B leads
Llama 3-70B: 20.8 (#277), Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | Llama 3-70B | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | 40.6% | 84.8% |
| LMArena Expert | 1149 | — |
| MMLU | 79.3% | — |
Multilingual Not comparable
Llama 3-70B: 33.6 (#251), Qwen3.6 35B-A3B: —
| Benchmark | Llama 3-70B | Qwen3.6 35B-A3B |
|---|---|---|
| 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), Qwen3.6 35B-A3B: —
| Benchmark | Llama 3-70B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1194 | — |
Long Context Not comparable
Llama 3-70B: 35.6 (#240), Qwen3.6 35B-A3B: —
| Benchmark | Llama 3-70B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1174 | — |
Writing & Preference Not comparable
Llama 3-70B: 42.8 (#231), Qwen3.6 35B-A3B: —
| Benchmark | Llama 3-70B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 1221 | — |
| LMArena Creative Writing | 1210 | — |
| LMArena Multi-Turn | 1223 | — |
Frequently asked questions
Is Llama 3-70B better than Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 28.8 on the Noometry Index.
Is Llama 3-70B or Qwen3.6 35B-A3B better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 37.2 versus 35.8 in the Noometry coding category.
How many benchmarks do Llama 3-70B and Qwen3.6 35B-A3B share?
4 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3.6 35B-A3B has 14.