Model comparison
Codellama 34b Instruct vs Qwen3.5 122B-A10B
Qwen3.5 122B-A10B is the stronger model overall, scoring 41.6 to 30.2 on the Noometry Index.
Last verified . 10 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. Codellama 34b Instruct 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 60.2 to 28.4.
Side by side
| Codellama 34b Instruct | Qwen3.5 122B-A10B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.2 | 41.6 |
| 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 | 14 | 27 |
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Category by category
Coding Qwen3.5 122B-A10B leads
Codellama 34b Instruct: 28.0 (#310), Qwen3.5 122B-A10B: 38.8 (#155)
| Benchmark | Codellama 34b Instruct | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Coding | 1046 | 1436 |
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning Qwen3.5 122B-A10B leads
Codellama 34b Instruct: 18.8 (#250), Qwen3.5 122B-A10B: 26.4 (#121)
| Benchmark | Codellama 34b Instruct | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Hard Prompts | 1032 | 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
Codellama 34b Instruct: 28.5 (#227), Qwen3.5 122B-A10B: 36.4 (#114)
| Benchmark | Codellama 34b Instruct | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | 1056 | 1432 |
Knowledge Not comparable
Codellama 34b Instruct: —, Qwen3.5 122B-A10B: 38.2 (#138)
| Benchmark | Codellama 34b Instruct | Qwen3.5 122B-A10B |
|---|---|---|
| Vectara Hallucination Rate | — | 11.2% |
| LMArena Expert | — | 1431 |
Multimodal Not comparable
Codellama 34b Instruct: —, Qwen3.5 122B-A10B: 39.0 (#52)
| Benchmark | Codellama 34b Instruct | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | — | 1245 |
Multilingual Qwen3.5 122B-A10B leads
Codellama 34b Instruct: 25.9 (#279), Qwen3.5 122B-A10B: 51.8 (#101)
| Benchmark | Codellama 34b Instruct | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | 1011 | 1400 |
| LMArena Chinese | 976 | 1462 |
| LMArena French | — | 1442 |
| LMArena German | — | 1425 |
| LMArena Japanese | — | 1364 |
| LMArena Korean | — | 1353 |
| LMArena Russian | — | 1400 |
| LMArena Spanish | — | 1423 |
Instruction Following Qwen3.5 122B-A10B leads
Codellama 34b Instruct: 52.4 (#286), Qwen3.5 122B-A10B: 74.0 (#109)
| Benchmark | Codellama 34b Instruct | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | 1028 | 1399 |
Long Context Qwen3.5 122B-A10B leads
Codellama 34b Instruct: 30.8 (#279), Qwen3.5 122B-A10B: 43.0 (#105)
| Benchmark | Codellama 34b Instruct | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | 1014 | 1410 |
Writing & Preference Qwen3.5 122B-A10B leads
Codellama 34b Instruct: 28.4 (#292), Qwen3.5 122B-A10B: 60.2 (#98)
| Benchmark | Codellama 34b Instruct | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | 1066 | 1417 |
| LMArena Creative Writing | 1032 | 1369 |
| LMArena Multi-Turn | 1015 | 1416 |
Frequently asked questions
Is Codellama 34b Instruct better than Qwen3.5 122B-A10B?
Qwen3.5 122B-A10B is the stronger model overall, scoring 41.6 to 30.2 on the Noometry Index.
Is Codellama 34b Instruct or Qwen3.5 122B-A10B better for coding?
Qwen3.5 122B-A10B scores higher on coding benchmarks: 38.8 versus 28.0 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Qwen3.5 122B-A10B share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen3.5 122B-A10B has 27.