Model comparison
Llama 3-8B vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 25.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-Next 80B-A3B Instruct leads 41.8 to 7.8.
Side by side
| Llama 3-8B | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 25.5 | 43.0 |
| Released | 2024-04-18 | 2025-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 34 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Llama 3-8B: 31.0 (#289), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Llama 3-8B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1152 | 1440 |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Llama 3-8B: 14.3 (#326), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Llama 3-8B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Llama 3-8B: 8.8 (#323), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Llama 3-8B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1151 | 1440 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| Omni-MATH | — | 46.7% |
| MATH Level 5 | 6.1% | — |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Llama 3-8B: 7.8 (#308), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Llama 3-8B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1113 | 1417 |
| GPQA Diamond | 26.1% | — |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Llama 3-8B: 30.8 (#261), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Llama 3-8B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1098 | 1407 |
| LMArena Chinese | 1076 | 1460 |
| LMArena French | 1159 | 1413 |
| LMArena German | 1104 | 1417 |
| LMArena Japanese | 967 | 1395 |
| LMArena Korean | 1004 | 1364 |
| LMArena Russian | 1109 | 1404 |
| LMArena Spanish | 1173 | 1435 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Llama 3-8B: 58.4 (#260), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Llama 3-8B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1127 | 1389 |
| IFEval | — | 81% |
Long Context Qwen3-Next 80B-A3B Instruct leads
Llama 3-8B: 34.2 (#251), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Llama 3-8B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1128 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Llama 3-8B: 37.5 (#256), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Llama 3-8B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1166 | 1417 |
| LMArena Creative Writing | 1150 | 1334 |
| LMArena Multi-Turn | 1152 | 1416 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Llama 3-8B better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 25.5 on the Noometry Index.
Is Llama 3-8B or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Qwen3-Next 80B-A3B Instruct share?
17 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.