Model comparison
Codellama 70b Instruct vs DeepSeek-R1-Distill-Llama-70B
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.4 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 1 category and DeepSeek-R1-Distill-Llama-70B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where DeepSeek-R1-Distill-Llama-70B leads 68.3 to 52.1.
- The biggest single-benchmark swing is BigCodeBench Instruct: 40.7% for Codellama 70b Instruct and 35.3% for DeepSeek-R1-Distill-Llama-70B.
Side by side
| Codellama 70b Instruct | DeepSeek-R1-Distill-Llama-70B | |
|---|---|---|
| Provider | Meta | DeepSeek |
| Noometry Index | 33.3 | 37.4 |
| Released | — | 2025-01-20 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 13 |
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Category by category
Coding Too close to call
Codellama 70b Instruct: 37.0 (#189), DeepSeek-R1-Distill-Llama-70B: 36.3 (#197)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| BigCodeBench Instruct | 40.7% | 35.3% |
| BigCodeBench Complete | 49.6% | 49.9% |
| LiveBench Coding | — | 51.6% |
| HumanEval+ | 65.9% | — |
Reasoning DeepSeek-R1-Distill-Llama-70B leads
Codellama 70b Instruct: 19.2 (#241), DeepSeek-R1-Distill-Llama-70B: 24.1 (#150)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| Kagi LLM Benchmark | — | 52.3% |
| LiveBench Reasoning | — | 67.6% |
| LMArena Hard Prompts | 1052 | — |
| LiveBench Data Analysis | — | 55.9% |
| LiveBench | — | 54.5% |
Math Not comparable
Codellama 70b Instruct: —, DeepSeek-R1-Distill-Llama-70B: 34.3 (#161)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 51.4% |
| LiveBench Math | — | 58.1% |
| MATH Level 5 | — | 89.9% |
Knowledge Not comparable
Codellama 70b Instruct: —, DeepSeek-R1-Distill-Llama-70B: 30.7 (#216)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| GPQA Diamond | — | 55.7% |
Multilingual Not comparable
Codellama 70b Instruct: 24.9 (#283), DeepSeek-R1-Distill-Llama-70B: —
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| LMArena Non-English | 992 | — |
Instruction Following DeepSeek-R1-Distill-Llama-70B leads
Codellama 70b Instruct: 52.1 (#288), DeepSeek-R1-Distill-Llama-70B: 68.3 (#185)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| LiveBench Instruction Following | — | 69.9% |
| LMArena Instruction Following | 1024 | — |
Writing & Preference DeepSeek-R1-Distill-Llama-70B leads
Codellama 70b Instruct: 33.6 (#272), DeepSeek-R1-Distill-Llama-70B: 49.0 (#189)
| Benchmark | Codellama 70b Instruct | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| LMArena Text | 1057 | — |
| LiveBench Language | — | 23.8% |
Frequently asked questions
Is Codellama 70b Instruct better than DeepSeek-R1-Distill-Llama-70B?
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.4 to 33.3 on the Noometry Index.
Is Codellama 70b Instruct or DeepSeek-R1-Distill-Llama-70B better for coding?
They score almost the same on coding (37.0 vs 36.3); test both on your own repository before choosing.
How many benchmarks do Codellama 70b Instruct and DeepSeek-R1-Distill-Llama-70B share?
2 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and DeepSeek-R1-Distill-Llama-70B has 13.