Model comparison
Codellama 70b Instruct vs Qwen3.6 27B
Qwen3.6 27B is the stronger model overall, scoring 42.2 to 33.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in writing & preference, where Qwen3.6 27B leads 50.3 to 33.4.
Side by side
| Codellama 70b Instruct | Qwen3.6 27B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 33.7 | 42.2 |
| Released | — | 2026-04-22 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $3.60 |
| Results tracked | 7 | 11 |
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Category by category
Coding Qwen3.6 27B leads
Codellama 70b Instruct: 37.6 (#193), Qwen3.6 27B: 39.1 (#163)
| Benchmark | Codellama 70b Instruct | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |
| BigCodeBench Instruct | 40.7% | — |
| BigCodeBench Complete | 49.6% | — |
| HumanEval+ | 65.9% | — |
Reasoning Qwen3.6 27B leads
Codellama 70b Instruct: 20.1 (#242), Qwen3.6 27B: 25.0 (#153)
| Benchmark | Codellama 70b Instruct | Qwen3.6 27B |
|---|---|---|
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | 1052 | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 78.1% |
| LMCA | — | 34.5% |
| Epoch Capabilities Index | — | 146.5 |
Math Not comparable
Codellama 70b Instruct: —, Qwen3.6 27B: 48.5 (#62)
| Benchmark | Codellama 70b Instruct | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
Knowledge Not comparable
Codellama 70b Instruct: —, Qwen3.6 27B: 52.4 (#63)
| Benchmark | Codellama 70b Instruct | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |
Multilingual Not comparable
Codellama 70b Instruct: 24.8 (#288), Qwen3.6 27B: —
| Benchmark | Codellama 70b Instruct | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 992 | — |
Instruction Following Not comparable
Codellama 70b Instruct: 51.9 (#293), Qwen3.6 27B: —
| Benchmark | Codellama 70b Instruct | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 1024 | — |
Writing & Preference Qwen3.6 27B leads
Codellama 70b Instruct: 33.4 (#277), Qwen3.6 27B: 50.3 (#181)
| Benchmark | Codellama 70b Instruct | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1057 | — |
| EQ-Bench 4 | — | 1026 |
Frequently asked questions
Is Codellama 70b Instruct better than Qwen3.6 27B?
Qwen3.6 27B is the stronger model overall, scoring 42.2 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or Qwen3.6 27B better for coding?
Qwen3.6 27B scores higher on coding benchmarks: 39.1 versus 37.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Qwen3.6 27B share?
0 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Qwen3.6 27B has 11.