Model comparison
Llama 13b vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 23.9 on the Noometry Index.
Last verified . 8 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 8 benchmarks with published results for both. Llama 13b scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Next 80B-A3B Instruct leads 58.2 to 13.9.
Side by side
| Llama 13b | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 23.9 | 42.5 |
| Released | 2023-02-24 | 2025-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 21 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Llama 13b: 20.9 (#332), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | Llama 13b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 683 | 1441 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Llama 13b: 13.4 (#327), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | Llama 13b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 728 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| BIG-Bench Hard | 37.9% | — |
| Epoch Capabilities Index | 100.09 | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Llama 13b: 24.4 (#259), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | Llama 13b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 838 | 1440 |
| Omni-MATH | — | 46.7% |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | Llama 13b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1416 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Llama 13b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Llama 13b: 16.8 (#292), Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | Llama 13b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 819 | 1407 |
| LMArena Chinese | — | 1461 |
| LMArena French | — | 1415 |
| LMArena German | — | 1416 |
| LMArena Japanese | — | 1398 |
| LMArena Korean | — | 1366 |
| LMArena Russian | — | 1403 |
| LMArena Spanish | — | 1436 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Llama 13b: 36.9 (#300), Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | Llama 13b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 781 | 1388 |
| IFEval | — | 81% |
Long Context Not comparable
Llama 13b: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | Llama 13b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Llama 13b: 13.9 (#307), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | Llama 13b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 834 | 1417 |
| LMArena Creative Writing | 794 | 1333 |
| LMArena Multi-Turn | 753 | 1415 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Llama 13b better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 23.9 on the Noometry Index.
Is Llama 13b or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 20.9 in the Noometry coding category.
How many benchmarks do Llama 13b and Qwen3-Next 80B-A3B Instruct share?
8 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.