Model comparison
Codellama 34b Instruct vs DeepSeek-R1-Distill-Qwen-14B
DeepSeek-R1-Distill-Qwen-14B is the stronger model overall, scoring 32.7 to 30.8 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
DeepSeekSummary
- They share 2 benchmarks with published results for both. Codellama 34b Instruct scores higher in 1 category and DeepSeek-R1-Distill-Qwen-14B in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-R1-Distill-Qwen-14B leads 36.9 to 28.5.
- The biggest single-benchmark swing is BigCodeBench Complete: 37.1% for Codellama 34b Instruct and 48.4% for DeepSeek-R1-Distill-Qwen-14B.
Side by side
| Codellama 34b Instruct | DeepSeek-R1-Distill-Qwen-14B | |
|---|---|---|
| Provider | Meta | DeepSeek |
| Noometry Index | 30.8 | 32.7 |
| Released | — | 2025-01-20 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 7 |
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Category by category
Coding DeepSeek-R1-Distill-Qwen-14B leads
Codellama 34b Instruct: 28.5 (#314), DeepSeek-R1-Distill-Qwen-14B: 36.9 (#200)
| Benchmark | Codellama 34b Instruct | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| BigCodeBench Instruct | 29% | 38.1% |
| BigCodeBench Complete | 37.1% | 48.4% |
| LMArena Coding | 1046 | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning Too close to call
Codellama 34b Instruct: 19.6 (#255), DeepSeek-R1-Distill-Qwen-14B: 19.2 (#263)
| Benchmark | Codellama 34b Instruct | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1032 | — |
| Epoch Capabilities Index | — | 135.43 |
Math DeepSeek-R1-Distill-Qwen-14B leads
Codellama 34b Instruct: 31.0 (#230), DeepSeek-R1-Distill-Qwen-14B: 35.5 (#184)
| Benchmark | Codellama 34b Instruct | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 50.6% |
| LMArena Math | 1056 | — |
| MATH Level 5 | — | 87.1% |
Knowledge Not comparable
Codellama 34b Instruct: —, DeepSeek-R1-Distill-Qwen-14B: 24.1 (#270)
| Benchmark | Codellama 34b Instruct | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| GPQA Diamond | — | 44.7% |
Multilingual Not comparable
Codellama 34b Instruct: 25.8 (#284), DeepSeek-R1-Distill-Qwen-14B: —
| Benchmark | Codellama 34b Instruct | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |
Instruction Following Not comparable
Codellama 34b Instruct: 52.2 (#291), DeepSeek-R1-Distill-Qwen-14B: —
| Benchmark | Codellama 34b Instruct | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1028 | — |
Long Context Not comparable
Codellama 34b Instruct: 30.9 (#284), DeepSeek-R1-Distill-Qwen-14B: —
| Benchmark | Codellama 34b Instruct | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1013 | — |
Writing & Preference Not comparable
Codellama 34b Instruct: 28.2 (#297), DeepSeek-R1-Distill-Qwen-14B: —
| Benchmark | Codellama 34b Instruct | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| LMArena Multi-Turn | 1015 | — |
Frequently asked questions
Is Codellama 34b Instruct better than DeepSeek-R1-Distill-Qwen-14B?
DeepSeek-R1-Distill-Qwen-14B is the stronger model overall, scoring 32.7 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or DeepSeek-R1-Distill-Qwen-14B better for coding?
DeepSeek-R1-Distill-Qwen-14B scores higher on coding benchmarks: 36.9 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and DeepSeek-R1-Distill-Qwen-14B share?
2 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and DeepSeek-R1-Distill-Qwen-14B has 7.