Model comparison
Codellama 34b Instruct vs Qwen3.6 35B-A3B
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.2 to 30.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in math, where Qwen3.6 35B-A3B leads 37.9 to 28.5.
Side by side
| Codellama 34b Instruct | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.2 | 37.2 |
| Released | — | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 14 | 14 |
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Category by category
Coding Qwen3.6 35B-A3B leads
Codellama 34b Instruct: 28.0 (#310), Qwen3.6 35B-A3B: 36.7 (#190)
| Benchmark | Codellama 34b Instruct | Qwen3.6 35B-A3B |
|---|---|---|
| SciCode | — | 35.8% |
| WeirdML | — | 34.5% |
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Qwen3.6 35B-A3B: 21.9 (#126)
| Benchmark | Codellama 34b Instruct | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning Qwen3.6 35B-A3B leads
Codellama 34b Instruct: 18.8 (#250), Qwen3.6 35B-A3B: 27.2 (#112)
| Benchmark | Codellama 34b Instruct | Qwen3.6 35B-A3B |
|---|---|---|
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| LMArena Hard Prompts | 1032 | — |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| Epoch Capabilities Index | — | 143.92 |
Math Qwen3.6 35B-A3B leads
Codellama 34b Instruct: 28.5 (#227), Qwen3.6 35B-A3B: 37.9 (#90)
| Benchmark | Codellama 34b Instruct | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1056 | — |
Knowledge Not comparable
Codellama 34b Instruct: —, Qwen3.6 35B-A3B: 51.4 (#63)
| Benchmark | Codellama 34b Instruct | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |
Multilingual Not comparable
Codellama 34b Instruct: 25.9 (#279), Qwen3.6 35B-A3B: —
| Benchmark | Codellama 34b Instruct | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |
Instruction Following Not comparable
Codellama 34b Instruct: 52.4 (#286), Qwen3.6 35B-A3B: —
| Benchmark | Codellama 34b Instruct | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1028 | — |
Long Context Not comparable
Codellama 34b Instruct: 30.8 (#279), Qwen3.6 35B-A3B: —
| Benchmark | Codellama 34b Instruct | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1014 | — |
Writing & Preference Not comparable
Codellama 34b Instruct: 28.4 (#292), Qwen3.6 35B-A3B: —
| Benchmark | Codellama 34b Instruct | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| LMArena Multi-Turn | 1015 | — |
Frequently asked questions
Is Codellama 34b Instruct better than Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.2 to 30.2 on the Noometry Index.
Is Codellama 34b Instruct or Qwen3.6 35B-A3B better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 36.7 versus 28.0 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Qwen3.6 35B-A3B share?
0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen3.6 35B-A3B has 14.