Model comparison
Codellama 34b Instruct vs Qwen3-1.7B
Codellama 34b Instruct is the stronger model overall, scoring 30.2 to 26.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in math, where Codellama 34b Instruct leads 28.5 to 15.4.
Side by side
| Codellama 34b Instruct | Qwen3-1.7B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.2 | 26.2 |
| Released | — | 2025-04-29 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 4 |
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Category by category
Coding Not comparable
Codellama 34b Instruct: 28.0 (#310), Qwen3-1.7B: —
| Benchmark | Codellama 34b Instruct | Qwen3-1.7B |
|---|---|---|
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Qwen3-1.7B: 24.5 (#108)
| Benchmark | Codellama 34b Instruct | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Too close to call
Codellama 34b Instruct: 18.8 (#250), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Codellama 34b Instruct | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1032 | — |
Math Codellama 34b Instruct leads
Codellama 34b Instruct: 28.5 (#227), Qwen3-1.7B: 15.4 (#288)
| Benchmark | Codellama 34b Instruct | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| LMArena Math | 1056 | — |
Knowledge Not comparable
Codellama 34b Instruct: —, Qwen3-1.7B: 19.6 (#273)
| Benchmark | Codellama 34b Instruct | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
Multilingual Not comparable
Codellama 34b Instruct: 25.9 (#279), Qwen3-1.7B: —
| Benchmark | Codellama 34b Instruct | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |
Instruction Following Not comparable
Codellama 34b Instruct: 52.4 (#286), Qwen3-1.7B: —
| Benchmark | Codellama 34b Instruct | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1028 | — |
Long Context Not comparable
Codellama 34b Instruct: 30.8 (#279), Qwen3-1.7B: —
| Benchmark | Codellama 34b Instruct | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1014 | — |
Writing & Preference Not comparable
Codellama 34b Instruct: 28.4 (#292), Qwen3-1.7B: —
| Benchmark | Codellama 34b Instruct | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| LMArena Multi-Turn | 1015 | — |
Frequently asked questions
Is Codellama 34b Instruct better than Qwen3-1.7B?
Codellama 34b Instruct is the stronger model overall, scoring 30.2 to 26.2 on the Noometry Index.
How many benchmarks do Codellama 34b Instruct and Qwen3-1.7B share?
0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen3-1.7B has 4.