Model comparison
DeepSeek-R1-Distill-Llama-70B vs Granite 3.1 2b Instruct
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 33.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in writing & preference, where DeepSeek-R1-Distill-Llama-70B leads 49.0 to 34.1.
Side by side
| DeepSeek-R1-Distill-Llama-70B | Granite 3.1 2b Instruct | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 37.8 | 33.2 |
| Released | 2025-01-20 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 12 |
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Category by category
Coding DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), Granite 3.1 2b Instruct: 33.4 (#257)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.1 2b Instruct |
|---|---|---|
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| LMArena Coding | — | 1149 |
| BigCodeBench Complete | 49.9% | — |
Reasoning DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), Granite 3.1 2b Instruct: 22.0 (#209)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.1 2b Instruct |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| LiveBench Reasoning | 67.6% | — |
| LMArena Hard Prompts | — | 1138 |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), Granite 3.1 2b Instruct: 33.1 (#206)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.1 2b Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| LMArena Math | — | 1159 |
| MATH Level 5 | 89.9% | — |
Knowledge Too close to call
DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), Granite 3.1 2b Instruct: 30.8 (#224)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.1 2b Instruct |
|---|---|---|
| GPQA Diamond | 55.7% | — |
| LMArena Expert | — | 1131 |
Multilingual Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Granite 3.1 2b Instruct: 29.1 (#269)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.1 2b Instruct |
|---|---|---|
| LMArena Non-English | — | 1068 |
| LMArena Chinese | — | 1139 |
| LMArena Russian | — | 1063 |
Instruction Following DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), Granite 3.1 2b Instruct: 57.7 (#264)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.1 2b Instruct |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
| LMArena Instruction Following | — | 1116 |
Long Context Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Granite 3.1 2b Instruct: 35.0 (#244)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.1 2b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1155 |
Writing & Preference DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), Granite 3.1 2b Instruct: 34.1 (#274)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 3.1 2b Instruct |
|---|---|---|
| LMArena Text | — | 1127 |
| LMArena Creative Writing | — | 1116 |
| LMArena Multi-Turn | — | 1099 |
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Granite 3.1 2b Instruct?
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 33.2 on the Noometry Index.
Is DeepSeek-R1-Distill-Llama-70B or Granite 3.1 2b Instruct better for coding?
DeepSeek-R1-Distill-Llama-70B scores higher on coding benchmarks: 36.8 versus 33.4 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Granite 3.1 2b Instruct share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Granite 3.1 2b Instruct has 12.