Model comparison
Codellama 34b Instruct vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 30.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in coding, where Qwen3.5-9B leads 35.3 to 28.0.
Side by side
| Codellama 34b Instruct | Qwen3.5-9B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.2 | 33.3 |
| Released | — | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 14 | 10 |
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Category by category
Coding Qwen3.5-9B leads
Codellama 34b Instruct: 28.0 (#310), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Codellama 34b Instruct | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Qwen3.5-9B: 14.4 (#143)
| Benchmark | Codellama 34b Instruct | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Codellama 34b Instruct: 18.8 (#250), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Codellama 34b Instruct | Qwen3.5-9B |
|---|---|---|
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1032 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.45 |
Math Qwen3.5-9B leads
Codellama 34b Instruct: 28.5 (#227), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Codellama 34b Instruct | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1056 | — |
Knowledge Not comparable
Codellama 34b Instruct: —, Qwen3.5-9B: 46.0 (#77)
| Benchmark | Codellama 34b Instruct | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
Multilingual Not comparable
Codellama 34b Instruct: 25.9 (#279), Qwen3.5-9B: —
| Benchmark | Codellama 34b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |
Instruction Following Not comparable
Codellama 34b Instruct: 52.4 (#286), Qwen3.5-9B: —
| Benchmark | Codellama 34b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1028 | — |
Long Context Not comparable
Codellama 34b Instruct: 30.8 (#279), Qwen3.5-9B: —
| Benchmark | Codellama 34b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1014 | — |
Writing & Preference Not comparable
Codellama 34b Instruct: 28.4 (#292), Qwen3.5-9B: —
| Benchmark | Codellama 34b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| LMArena Multi-Turn | 1015 | — |
Frequently asked questions
Is Codellama 34b Instruct better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 30.2 on the Noometry Index.
Is Codellama 34b Instruct or Qwen3.5-9B better for coding?
Qwen3.5-9B scores higher on coding benchmarks: 35.3 versus 28.0 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Qwen3.5-9B share?
0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen3.5-9B has 10.