Model comparison
Llama 3.1 Tulu 3 8b vs Qwen3.5 122B-A10B
Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 35.7 on the Noometry Index.
Last verified . 11 shared benchmarks.
Allen Institute for AI (Ai2)
Alibaba (Qwen)Summary
- They share 11 benchmarks with published results for both. Llama 3.1 Tulu 3 8b scores higher in 0 categories and Qwen3.5 122B-A10B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 122B-A10B leads 60.0 to 39.7.
Side by side
| Llama 3.1 Tulu 3 8b | Qwen3.5 122B-A10B | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Alibaba (Qwen) |
| Noometry Index | 35.7 | 42.1 |
| Released | — | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $3.20 |
| Results tracked | 11 | 27 |
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Category by category
Coding Qwen3.5 122B-A10B leads
Llama 3.1 Tulu 3 8b: 34.4 (#235), Qwen3.5 122B-A10B: 39.1 (#162)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Coding | 1183 | 1436 |
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |
Reasoning Qwen3.5 122B-A10B leads
Llama 3.1 Tulu 3 8b: 22.8 (#188), Qwen3.5 122B-A10B: 27.2 (#123)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Hard Prompts | 1174 | 1421 |
| NYT Connections (extended) | — | 51.7% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 51.2% |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LMCA | — | 32.2% |
Math Qwen3.5 122B-A10B leads
Llama 3.1 Tulu 3 8b: 33.9 (#198), Qwen3.5 122B-A10B: 39.1 (#112)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | 1195 | 1432 |
Knowledge Not comparable
Llama 3.1 Tulu 3 8b: —, Qwen3.5 122B-A10B: 38.8 (#142)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen3.5 122B-A10B |
|---|---|---|
| Vectara Hallucination Rate | — | 11.2% |
| LMArena Expert | — | 1432 |
Multimodal Not comparable
Llama 3.1 Tulu 3 8b: —, Qwen3.5 122B-A10B: 39.6 (#57)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | — | 1245 |
Multilingual Qwen3.5 122B-A10B leads
Llama 3.1 Tulu 3 8b: 35.4 (#246), Qwen3.5 122B-A10B: 51.6 (#107)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | 1169 | 1400 |
| LMArena Chinese | 1176 | 1462 |
| LMArena Russian | 1193 | 1400 |
| LMArena French | — | 1442 |
| LMArena German | — | 1426 |
| LMArena Japanese | — | 1367 |
| LMArena Korean | — | 1352 |
| LMArena Spanish | — | 1424 |
Instruction Following Qwen3.5 122B-A10B leads
Llama 3.1 Tulu 3 8b: 61.3 (#246), Qwen3.5 122B-A10B: 73.8 (#115)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | 1174 | 1399 |
Long Context Qwen3.5 122B-A10B leads
Llama 3.1 Tulu 3 8b: 35.8 (#239), Qwen3.5 122B-A10B: 43.0 (#109)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | 1181 | 1410 |
Writing & Preference Qwen3.5 122B-A10B leads
Llama 3.1 Tulu 3 8b: 39.7 (#245), Qwen3.5 122B-A10B: 60.0 (#105)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | 1193 | 1417 |
| LMArena Creative Writing | 1182 | 1368 |
| LMArena Multi-Turn | 1154 | 1416 |
Frequently asked questions
Is Llama 3.1 Tulu 3 8b better than Qwen3.5 122B-A10B?
Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 35.7 on the Noometry Index.
Is Llama 3.1 Tulu 3 8b or Qwen3.5 122B-A10B better for coding?
Qwen3.5 122B-A10B scores higher on coding benchmarks: 39.1 versus 34.4 in the Noometry coding category.
How many benchmarks do Llama 3.1 Tulu 3 8b and Qwen3.5 122B-A10B share?
11 benchmarks have published results for both models. Llama 3.1 Tulu 3 8b has 11 scored results on Noometry and Qwen3.5 122B-A10B has 27.