Model comparison
Codellama 70b Instruct vs DeepSeek-R1-Distill-Qwen-32B
DeepSeek-R1-Distill-Qwen-32B is the stronger model overall, scoring 35.0 to 33.3 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
DeepSeekSummary
- They share 2 benchmarks with published results for both. Codellama 70b Instruct scores higher in 2 categories and DeepSeek-R1-Distill-Qwen-32B in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-R1-Distill-Qwen-32B leads 49.6 to 33.6.
- The biggest single-benchmark swing is BigCodeBench Complete: 49.6% for Codellama 70b Instruct and 54.9% for DeepSeek-R1-Distill-Qwen-32B.
Side by side
| Codellama 70b Instruct | DeepSeek-R1-Distill-Qwen-32B | |
|---|---|---|
| Provider | Meta | DeepSeek |
| Noometry Index | 33.3 | 35.0 |
| Released | — | 2025-01-20 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 14 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.0 (#189), DeepSeek-R1-Distill-Qwen-32B: 35.6 (#209)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| BigCodeBench Instruct | 40.7% | 43.9% |
| BigCodeBench Complete | 49.6% | 54.9% |
| LiveBench Coding | — | 33.7% |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, DeepSeek-R1-Distill-Qwen-32B: 27.8 (#88)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| BALROG | — | 19.5% |
Reasoning Codellama 70b Instruct leads
Codellama 70b Instruct: 19.2 (#241), DeepSeek-R1-Distill-Qwen-32B: 17.6 (#280)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | — | 52.3% |
| LMArena Hard Prompts | 1052 | — |
| LiveBench Data Analysis | — | 45.4% |
| Epoch Capabilities Index | — | 137.43 |
| LiveBench | — | 45.5% |
Math Not comparable
Codellama 70b Instruct: —, DeepSeek-R1-Distill-Qwen-32B: 32.9 (#183)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 55.6% |
| LiveBench Math | — | 59.4% |
Knowledge Not comparable
Codellama 70b Instruct: —, DeepSeek-R1-Distill-Qwen-32B: 35.7 (#167)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| GPQA Diamond | — | 64.1% |
Multilingual Not comparable
Codellama 70b Instruct: 24.9 (#283), DeepSeek-R1-Distill-Qwen-32B: —
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| LMArena Non-English | 992 | — |
Instruction Following DeepSeek-R1-Distill-Qwen-32B leads
Codellama 70b Instruct: 52.1 (#288), DeepSeek-R1-Distill-Qwen-32B: 61.7 (#239)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| LiveBench Instruction Following | — | 55.7% |
| LMArena Instruction Following | 1024 | — |
Writing & Preference DeepSeek-R1-Distill-Qwen-32B leads
Codellama 70b Instruct: 33.6 (#272), DeepSeek-R1-Distill-Qwen-32B: 49.6 (#185)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| LMArena Text | 1057 | — |
| LiveBench Language | — | 26.8% |
Frequently asked questions
Is Codellama 70b Instruct better than DeepSeek-R1-Distill-Qwen-32B?
DeepSeek-R1-Distill-Qwen-32B is the stronger model overall, scoring 35.0 to 33.3 on the Noometry Index.
Is Codellama 70b Instruct or DeepSeek-R1-Distill-Qwen-32B better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.0 versus 35.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and DeepSeek-R1-Distill-Qwen-32B share?
2 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and DeepSeek-R1-Distill-Qwen-32B has 14.