Model comparison
Llama 13b vs Qwen3 235B-A22B
Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 9 benchmarks with published results for both. Llama 13b scores higher in 0 categories and Qwen3 235B-A22B in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3 235B-A22B leads 59.6 to 13.8.
Side by side
| Llama 13b | Qwen3 235B-A22B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.4 | 43.5 |
| Released | 2023-02-24 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 21 | 49 |
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Category by category
Coding Qwen3 235B-A22B leads
Llama 13b: 21.4 (#337), Qwen3 235B-A22B: 44.3 (#75)
| Benchmark | Llama 13b | Qwen3 235B-A22B |
|---|---|---|
| LMArena Coding | 683 | 1445 |
| Aider Polyglot | — | 59.6% |
| SciCode | — | 42.4% |
| WeirdML | — | 41% |
Agentic & Tool Use Not comparable
Llama 13b: —, Qwen3 235B-A22B: 33.9 (#51)
| Benchmark | Llama 13b | Qwen3 235B-A22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 52.1% |
| Vending-Bench 2 | — | -11.34 |
Reasoning Qwen3 235B-A22B leads
Llama 13b: 14.0 (#329), Qwen3 235B-A22B: 15.7 (#311)
| Benchmark | Llama 13b | Qwen3 235B-A22B |
|---|---|---|
| LMArena Hard Prompts | 728 | 1433 |
| Epoch Capabilities Index | 100.58 | 143.85 |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 31% |
| Kagi LLM Benchmark | — | 69.4% |
| ARC-AGI-1 | — | 11% |
| CritPt | — | 0% |
| Chess Puzzles | — | 12% |
| Mystery Game Puzzles | — | 9% |
| DTBench | — | 80.3% |
| LMCA | — | 29.3% |
| BIG-Bench Hard | 37.9% | — |
| ForecastBench | — | 59.7 |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Qwen3 235B-A22B leads
Llama 13b: 26.7 (#256), Qwen3 235B-A22B: 50.4 (#57)
| Benchmark | Llama 13b | Qwen3 235B-A22B |
|---|---|---|
| LMArena Math | 838 | 1432 |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| Omni-MATH | — | 71.8% |
| MATH Level 5 | — | 68.9% |
| FrontierMath (Feb 2025 set) | — | 8.5% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Qwen3 235B-A22B: 49.6 (#73)
| Benchmark | Llama 13b | Qwen3 235B-A22B |
|---|---|---|
| GPQA Diamond | — | 80.1% |
| SimpleQA Verified | — | 40.4% |
| MMLU-Pro | — | 84.4% |
| Confabulations | — | 15.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 72.7% |
| LMArena Expert | — | 1463 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Qwen3 235B-A22B: —
| Benchmark | Llama 13b | Qwen3 235B-A22B |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Qwen3 235B-A22B leads
Llama 13b: 16.6 (#297), Qwen3 235B-A22B: 52.3 (#89)
| Benchmark | Llama 13b | Qwen3 235B-A22B |
|---|---|---|
| LMArena Non-English | 819 | 1409 |
| LMArena Chinese | — | 1481 |
| LMArena French | — | 1445 |
| LMArena German | — | 1433 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1391 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1430 |
Instruction Following Qwen3 235B-A22B leads
Llama 13b: 36.7 (#305), Qwen3 235B-A22B: 72.6 (#136)
| Benchmark | Llama 13b | Qwen3 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 781 | 1408 |
| IFEval | — | 83.5% |
Long Context Not comparable
Llama 13b: —, Qwen3 235B-A22B: 46.1 (#26)
| Benchmark | Llama 13b | Qwen3 235B-A22B |
|---|---|---|
| Fiction.LiveBench | — | 75% |
| LMArena Longer Query | — | 1426 |
Writing & Preference Qwen3 235B-A22B leads
Llama 13b: 13.8 (#312), Qwen3 235B-A22B: 59.6 (#108)
| Benchmark | Llama 13b | Qwen3 235B-A22B |
|---|---|---|
| LMArena Text | 834 | 1419 |
| LMArena Creative Writing | 794 | 1384 |
| LMArena Multi-Turn | 753 | 1432 |
| Short-Story Creative Writing | — | 83% |
| EQ-Bench Creative Writing | — | 1366 |
| WildBench | — | 86.6% |
Frequently asked questions
Is Llama 13b better than Qwen3 235B-A22B?
Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 24.4 on the Noometry Index.
Is Llama 13b or Qwen3 235B-A22B better for coding?
Qwen3 235B-A22B scores higher on coding benchmarks: 44.3 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Qwen3 235B-A22B share?
9 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Qwen3 235B-A22B has 49.