Model comparison
DeepSeek-R1-Distill-Llama-70B vs Granite 4.2 8B
Granite 4.2 8B is the stronger model overall, scoring 40.5 to 37.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in knowledge, where Granite 4.2 8B leads 38.4 to 30.7.
Side by side
| DeepSeek-R1-Distill-Llama-70B | Granite 4.2 8B | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 37.8 | 40.5 |
| Released | 2025-01-20 | — |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 118K |
| Input $ / M tokens | — | $0.06 |
| Output $ / M tokens | — | $0.25 |
| Results tracked | 13 | 11 |
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Category by category
Coding Granite 4.2 8B leads
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), Granite 4.2 8B: 40.5 (#137)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 4.2 8B |
|---|---|---|
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| LMArena Coding | — | 1380 |
| BigCodeBench Complete | 49.9% | — |
Reasoning Granite 4.2 8B leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), Granite 4.2 8B: 26.6 (#131)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 4.2 8B |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| LiveBench Reasoning | 67.6% | — |
| LMArena Hard Prompts | — | 1329 |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math Not comparable
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), Granite 4.2 8B: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 4.2 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| MATH Level 5 | 89.9% | — |
Knowledge Granite 4.2 8B leads
DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), Granite 4.2 8B: 38.4 (#145)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 4.2 8B |
|---|---|---|
| GPQA Diamond | 55.7% | — |
| LMArena Expert | — | 1384 |
Multilingual Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Granite 4.2 8B: 44.5 (#178)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 4.2 8B |
|---|---|---|
| LMArena Non-English | — | 1302 |
| LMArena Chinese | — | 1366 |
| LMArena Russian | — | 1285 |
Instruction Following Too close to call
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), Granite 4.2 8B: 68.7 (#184)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 4.2 8B |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
| LMArena Instruction Following | — | 1301 |
Long Context Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Granite 4.2 8B: 40.3 (#159)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 4.2 8B |
|---|---|---|
| LMArena Longer Query | — | 1324 |
Writing & Preference Too close to call
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), Granite 4.2 8B: 49.6 (#189)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Granite 4.2 8B |
|---|---|---|
| LMArena Text | — | 1320 |
| LMArena Creative Writing | — | 1236 |
| LMArena Multi-Turn | — | 1301 |
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Granite 4.2 8B?
Granite 4.2 8B is the stronger model overall, scoring 40.5 to 37.8 on the Noometry Index.
Is DeepSeek-R1-Distill-Llama-70B or Granite 4.2 8B better for coding?
Granite 4.2 8B scores higher on coding benchmarks: 40.5 versus 36.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Granite 4.2 8B share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Granite 4.2 8B has 11.