Model comparison
DeepSeek-R1-Distill-Llama-70B vs Granite 3.0 8b Instruct
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 31.6 on the Noometry Index.
Last verified . 2 shared benchmarks.
DeepSeekSummary
- They share 2 benchmarks with published results for both. DeepSeek-R1-Distill-Llama-70B scores higher in 6 categories and Granite 3.0 8b Instruct in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-R1-Distill-Llama-70B leads 49.0 to 31.1.
- The biggest single-benchmark swing is BigCodeBench Complete: 49.9% for DeepSeek-R1-Distill-Llama-70B and 35.4% for Granite 3.0 8b Instruct.
Side by side
| DeepSeek-R1-Distill-Llama-70B | Granite 3.0 8b Instruct | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 37.8 | 31.6 |
| Released | 2025-01-20 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 14 |
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Category by category
Coding DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), Granite 3.0 8b Instruct: 29.7 (#301)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.0 8b Instruct |
|---|---|---|
| BigCodeBench Instruct | 35.3% | 29.3% |
| BigCodeBench Complete | 49.9% | 35.4% |
| LiveBench Coding | 51.6% | — |
| LMArena Coding | — | 1112 |
Reasoning DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), Granite 3.0 8b Instruct: 20.9 (#230)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.0 8b Instruct |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| LiveBench Reasoning | 67.6% | — |
| LMArena Hard Prompts | — | 1092 |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), Granite 3.0 8b Instruct: 32.8 (#210)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.0 8b Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| LMArena Math | — | 1143 |
| MATH Level 5 | 89.9% | — |
Knowledge DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), Granite 3.0 8b Instruct: 29.6 (#236)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.0 8b Instruct |
|---|---|---|
| GPQA Diamond | 55.7% | — |
| LMArena Expert | — | 1087 |
Multilingual Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Granite 3.0 8b Instruct: 27.2 (#276)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Non-English | — | 1037 |
| LMArena Chinese | — | 1063 |
| LMArena Russian | — | 1060 |
Instruction Following DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), Granite 3.0 8b Instruct: 56.0 (#276)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.0 8b Instruct |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
| LMArena Instruction Following | — | 1088 |
Long Context Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Granite 3.0 8b Instruct: 34.0 (#252)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1122 |
Writing & Preference DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), Granite 3.0 8b Instruct: 31.1 (#285)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Text | — | 1096 |
| LMArena Creative Writing | — | 1071 |
| LMArena Multi-Turn | — | 1063 |
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Granite 3.0 8b Instruct?
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 31.6 on the Noometry Index.
Is DeepSeek-R1-Distill-Llama-70B or Granite 3.0 8b Instruct better for coding?
DeepSeek-R1-Distill-Llama-70B scores higher on coding benchmarks: 36.8 versus 29.7 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Granite 3.0 8b Instruct share?
2 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Granite 3.0 8b Instruct has 14.