Model comparison
Codellama 70b Instruct vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.5 to 33.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Side by side
| Codellama 70b Instruct | Qwen3 14B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 33.7 | 35.5 |
| Released | — | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 7 | 12 |
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Category by category
Coding Too close to call
Codellama 70b Instruct: 37.6 (#193), Qwen3 14B: 37.3 (#195)
| Benchmark | Codellama 70b Instruct | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| BigCodeBench Instruct | 40.7% | — |
| BigCodeBench Complete | 49.6% | — |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Codellama 70b Instruct | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Codellama 70b Instruct leads
Codellama 70b Instruct: 20.1 (#242), Qwen3 14B: 18.5 (#280)
| Benchmark | Codellama 70b Instruct | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1052 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
Math Not comparable
Codellama 70b Instruct: —, Qwen3 14B: 38.6 (#133)
| Benchmark | Codellama 70b Instruct | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
Knowledge Not comparable
Codellama 70b Instruct: —, Qwen3 14B: 39.3 (#134)
| Benchmark | Codellama 70b Instruct | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
Multilingual Not comparable
Codellama 70b Instruct: 24.8 (#288), Qwen3 14B: —
| Benchmark | Codellama 70b Instruct | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 992 | — |
Instruction Following Not comparable
Codellama 70b Instruct: 51.9 (#293), Qwen3 14B: —
| Benchmark | Codellama 70b Instruct | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1024 | — |
Long Context Not comparable
Codellama 70b Instruct: —, Qwen3 14B: 38.1 (#204)
| Benchmark | Codellama 70b Instruct | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
Writing & Preference Not comparable
Codellama 70b Instruct: 33.4 (#277), Qwen3 14B: —
| Benchmark | Codellama 70b Instruct | Qwen3 14B |
|---|---|---|
| LMArena Text | 1057 | — |
Frequently asked questions
Is Codellama 70b Instruct better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.5 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or Qwen3 14B better for coding?
They score almost the same on coding (37.6 vs 37.3); test both on your own repository before choosing.
How many benchmarks do Codellama 70b Instruct and Qwen3 14B share?
0 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Qwen3 14B has 12.