Model comparison
Codellama 34b Instruct vs Qwen3 235B-A22B
Qwen3 235B-A22B is the stronger model overall, scoring 43.2 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 1 category and Qwen3 235B-A22B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3 235B-A22B leads 59.8 to 28.4.
Side by side
| Codellama 34b Instruct | Qwen3 235B-A22B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.2 | 43.2 |
| Released | — | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 14 | 49 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3 235B-A22B leads
Codellama 34b Instruct: 28.0 (#310), Qwen3 235B-A22B: 43.8 (#72)
| Benchmark | Codellama 34b Instruct | Qwen3 235B-A22B |
|---|---|---|
| LMArena Coding | 1046 | 1445 |
| Aider Polyglot | — | 59.6% |
| SciCode | — | 42.4% |
| WeirdML | — | 41% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Qwen3 235B-A22B: 33.7 (#48)
| Benchmark | Codellama 34b Instruct | Qwen3 235B-A22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 52.1% |
| Vending-Bench 2 | — | -11.34 |
Reasoning Codellama 34b Instruct leads
Codellama 34b Instruct: 18.8 (#250), Qwen3 235B-A22B: 15.8 (#302)
| Benchmark | Codellama 34b Instruct | Qwen3 235B-A22B |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1433 |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 31% |
| Kagi LLM Benchmark | — | 69.4% |
| ARC-AGI-1 | — | 11% |
| CritPt | — | 0% |
| Chess Puzzles | — | 12% |
| Mystery Game Puzzles | — | 9% |
| DTBench | — | 80.3% |
| LMCA | — | 29.3% |
| Epoch Capabilities Index | — | 143.87 |
| ForecastBench | — | 59.7 |
Math Qwen3 235B-A22B leads
Codellama 34b Instruct: 28.5 (#227), Qwen3 235B-A22B: 48.5 (#51)
| Benchmark | Codellama 34b Instruct | Qwen3 235B-A22B |
|---|---|---|
| LMArena Math | 1056 | 1431 |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| Omni-MATH | — | 71.8% |
| MATH Level 5 | — | 68.9% |
| FrontierMath (Feb 2025 set) | — | 8.5% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Not comparable
Codellama 34b Instruct: —, Qwen3 235B-A22B: 49.5 (#67)
| Benchmark | Codellama 34b Instruct | Qwen3 235B-A22B |
|---|---|---|
| GPQA Diamond | — | 80.1% |
| SimpleQA Verified | — | 40.4% |
| MMLU-Pro | — | 84.4% |
| Confabulations | — | 15.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 72.7% |
| LMArena Expert | — | 1460 |
Multilingual Qwen3 235B-A22B leads
Codellama 34b Instruct: 25.9 (#279), Qwen3 235B-A22B: 52.5 (#84)
| Benchmark | Codellama 34b Instruct | Qwen3 235B-A22B |
|---|---|---|
| LMArena Non-English | 1011 | 1410 |
| LMArena Chinese | 976 | 1481 |
| LMArena French | — | 1445 |
| LMArena German | — | 1432 |
| LMArena Japanese | — | 1400 |
| LMArena Korean | — | 1391 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1429 |
Instruction Following Qwen3 235B-A22B leads
Codellama 34b Instruct: 52.4 (#286), Qwen3 235B-A22B: 72.8 (#132)
| Benchmark | Codellama 34b Instruct | Qwen3 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 1028 | 1408 |
| IFEval | — | 83.5% |
Long Context Qwen3 235B-A22B leads
Codellama 34b Instruct: 30.8 (#279), Qwen3 235B-A22B: 46.1 (#25)
| Benchmark | Codellama 34b Instruct | Qwen3 235B-A22B |
|---|---|---|
| LMArena Longer Query | 1014 | 1426 |
| Fiction.LiveBench | — | 75% |
Writing & Preference Qwen3 235B-A22B leads
Codellama 34b Instruct: 28.4 (#292), Qwen3 235B-A22B: 59.8 (#103)
| Benchmark | Codellama 34b Instruct | Qwen3 235B-A22B |
|---|---|---|
| LMArena Text | 1066 | 1419 |
| LMArena Creative Writing | 1032 | 1384 |
| LMArena Multi-Turn | 1015 | 1432 |
| Short-Story Creative Writing | — | 83% |
| EQ-Bench Creative Writing | — | 1366 |
| WildBench | — | 86.6% |
Frequently asked questions
Is Codellama 34b Instruct better than Qwen3 235B-A22B?
Qwen3 235B-A22B is the stronger model overall, scoring 43.2 to 30.2 on the Noometry Index.
Is Codellama 34b Instruct or Qwen3 235B-A22B better for coding?
Qwen3 235B-A22B scores higher on coding benchmarks: 43.8 versus 28.0 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Qwen3 235B-A22B share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen3 235B-A22B has 49.