Model comparison
Llama 3-70B vs Qwen3 235B-A22B
Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 28.8 on the Noometry Index.
Last verified . 24 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 24 benchmarks with published results for both. Llama 3-70B scores higher in 1 category and Qwen3 235B-A22B in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 235B-A22B leads 50.4 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 86.7% for Qwen3 235B-A22B.
Side by side
| Llama 3-70B | Qwen3 235B-A22B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.8 | 43.5 |
| Released | 2024-04-18 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 31 | 49 |
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Category by category
Coding Qwen3 235B-A22B leads
Llama 3-70B: 35.8 (#218), Qwen3 235B-A22B: 44.3 (#75)
| Benchmark | Llama 3-70B | Qwen3 235B-A22B |
|---|---|---|
| LMArena Coding | 1206 | 1445 |
| Aider Polyglot | — | 59.6% |
| SciCode | — | 42.4% |
| WeirdML | — | 41% |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Qwen3 235B-A22B leads
Llama 3-70B: 21.1 (#139), Qwen3 235B-A22B: 33.9 (#51)
| Benchmark | Llama 3-70B | Qwen3 235B-A22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 52.1% |
| Cybench | 5% | — |
| Vending-Bench 2 | — | -11.34 |
Reasoning Llama 3-70B leads
Llama 3-70B: 18.0 (#288), Qwen3 235B-A22B: 15.7 (#311)
| Benchmark | Llama 3-70B | Qwen3 235B-A22B |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | 69.4% |
| LMArena Hard Prompts | 1195 | 1433 |
| DTBench | 54.2% | 80.3% |
| Epoch Capabilities Index | 122.93 | 143.85 |
| ForecastBench | 57.1 | 59.7 |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 31% |
| ARC-AGI-1 | — | 11% |
| CritPt | — | 0% |
| Chess Puzzles | — | 12% |
| Mystery Game Puzzles | — | 9% |
| LMCA | — | 29.3% |
| WinoGrande | 83.5% | — |
Math Qwen3 235B-A22B leads
Llama 3-70B: 12.8 (#305), Qwen3 235B-A22B: 50.4 (#57)
| Benchmark | Llama 3-70B | Qwen3 235B-A22B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 86.7% |
| LMArena Math | 1218 | 1432 |
| MATH Level 5 | 22.6% | 68.9% |
| Omni-MATH | — | 71.8% |
| FrontierMath (Feb 2025 set) | — | 8.5% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3 235B-A22B leads
Llama 3-70B: 20.8 (#277), Qwen3 235B-A22B: 49.6 (#73)
| Benchmark | Llama 3-70B | Qwen3 235B-A22B |
|---|---|---|
| GPQA Diamond | 40.6% | 80.1% |
| LMArena Expert | 1149 | 1463 |
| SimpleQA Verified | — | 40.4% |
| MMLU-Pro | — | 84.4% |
| Confabulations | — | 15.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 72.7% |
| MMLU | 79.3% | — |
Multilingual Qwen3 235B-A22B leads
Llama 3-70B: 33.6 (#251), Qwen3 235B-A22B: 52.3 (#89)
| Benchmark | Llama 3-70B | Qwen3 235B-A22B |
|---|---|---|
| LMArena Non-English | 1142 | 1409 |
| LMArena Chinese | 1114 | 1481 |
| LMArena French | 1232 | 1445 |
| LMArena German | 1169 | 1433 |
| LMArena Japanese | 1017 | 1399 |
| LMArena Korean | 1017 | 1391 |
| LMArena Russian | 1159 | 1411 |
| LMArena Spanish | 1241 | 1430 |
Instruction Following Qwen3 235B-A22B leads
Llama 3-70B: 62.5 (#238), Qwen3 235B-A22B: 72.6 (#136)
| Benchmark | Llama 3-70B | Qwen3 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 1194 | 1408 |
| IFEval | — | 83.5% |
Long Context Qwen3 235B-A22B leads
Llama 3-70B: 35.6 (#240), Qwen3 235B-A22B: 46.1 (#26)
| Benchmark | Llama 3-70B | Qwen3 235B-A22B |
|---|---|---|
| LMArena Longer Query | 1174 | 1426 |
| Fiction.LiveBench | — | 75% |
Writing & Preference Qwen3 235B-A22B leads
Llama 3-70B: 42.8 (#231), Qwen3 235B-A22B: 59.6 (#108)
| Benchmark | Llama 3-70B | Qwen3 235B-A22B |
|---|---|---|
| LMArena Text | 1221 | 1419 |
| LMArena Creative Writing | 1210 | 1384 |
| LMArena Multi-Turn | 1223 | 1432 |
| Short-Story Creative Writing | — | 83% |
| EQ-Bench Creative Writing | — | 1366 |
| WildBench | — | 86.6% |
Frequently asked questions
Is Llama 3-70B better than Qwen3 235B-A22B?
Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 28.8 on the Noometry Index.
Is Llama 3-70B or Qwen3 235B-A22B better for coding?
Qwen3 235B-A22B scores higher on coding benchmarks: 44.3 versus 35.8 in the Noometry coding category.
How many benchmarks do Llama 3-70B and Qwen3 235B-A22B share?
24 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3 235B-A22B has 49.