Model comparison
Llama 3-8B vs Qwen3.5 122B-A10B
Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 25.5 on the Noometry Index.
Last verified . 18 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Qwen3.5 122B-A10B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 122B-A10B leads 38.8 to 7.8.
- The biggest single-benchmark swing is DTBench: 43.9% for Llama 3-8B and 84.3% for Qwen3.5 122B-A10B.
Side by side
| Llama 3-8B | Qwen3.5 122B-A10B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 25.5 | 42.1 |
| Released | 2024-04-18 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $3.20 |
| Results tracked | 34 | 27 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.5 122B-A10B leads
Llama 3-8B: 31.0 (#289), Qwen3.5 122B-A10B: 39.1 (#162)
| Benchmark | Llama 3-8B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Coding | 1152 | 1436 |
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Qwen3.5 122B-A10B leads
Llama 3-8B: 14.3 (#326), Qwen3.5 122B-A10B: 27.2 (#123)
| Benchmark | Llama 3-8B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1421 |
| DTBench | 43.9% | 84.3% |
| NYT Connections (extended) | — | 51.7% |
| CritPt | — | 0.9% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 51.2% |
| Mystery Game Puzzles | — | 17% |
| LMCA | — | 32.2% |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Qwen3.5 122B-A10B leads
Llama 3-8B: 8.8 (#323), Qwen3.5 122B-A10B: 39.1 (#112)
| Benchmark | Llama 3-8B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | 1151 | 1432 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge Qwen3.5 122B-A10B leads
Llama 3-8B: 7.8 (#308), Qwen3.5 122B-A10B: 38.8 (#142)
| Benchmark | Llama 3-8B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Expert | 1113 | 1432 |
| GPQA Diamond | 26.1% | — |
| Vectara Hallucination Rate | — | 11.2% |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multimodal Not comparable
Llama 3-8B: —, Qwen3.5 122B-A10B: 39.6 (#57)
| Benchmark | Llama 3-8B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | — | 1245 |
Multilingual Qwen3.5 122B-A10B leads
Llama 3-8B: 30.8 (#261), Qwen3.5 122B-A10B: 51.6 (#107)
| Benchmark | Llama 3-8B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | 1098 | 1400 |
| LMArena Chinese | 1076 | 1462 |
| LMArena French | 1159 | 1442 |
| LMArena German | 1104 | 1426 |
| LMArena Japanese | 967 | 1367 |
| LMArena Korean | 1004 | 1352 |
| LMArena Russian | 1109 | 1400 |
| LMArena Spanish | 1173 | 1424 |
Instruction Following Qwen3.5 122B-A10B leads
Llama 3-8B: 58.4 (#260), Qwen3.5 122B-A10B: 73.8 (#115)
| Benchmark | Llama 3-8B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | 1127 | 1399 |
Long Context Qwen3.5 122B-A10B leads
Llama 3-8B: 34.2 (#251), Qwen3.5 122B-A10B: 43.0 (#109)
| Benchmark | Llama 3-8B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | 1128 | 1410 |
Writing & Preference Qwen3.5 122B-A10B leads
Llama 3-8B: 37.5 (#256), Qwen3.5 122B-A10B: 60.0 (#105)
| Benchmark | Llama 3-8B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | 1166 | 1417 |
| LMArena Creative Writing | 1150 | 1368 |
| LMArena Multi-Turn | 1152 | 1416 |
Frequently asked questions
Is Llama 3-8B better than Qwen3.5 122B-A10B?
Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 25.5 on the Noometry Index.
Is Llama 3-8B or Qwen3.5 122B-A10B better for coding?
Qwen3.5 122B-A10B scores higher on coding benchmarks: 39.1 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Qwen3.5 122B-A10B share?
18 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Qwen3.5 122B-A10B has 27.