Model comparison
DeepSeek-V3.1-Terminus vs Granite 4.1 8b
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 37.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeekSummary
- They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Granite 4.1 8b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.0 to 48.1.
Side by side
| DeepSeek-V3.1-Terminus | Granite 4.1 8b | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 43.1 | 37.4 |
| Released | 2025-09-22 | — |
| Weights | Open | Open |
| Context window | 164K | — |
| Max output | 147K | — |
| Input $ / M tokens | $0.27 | — |
| Output $ / M tokens | $1 | — |
| Results tracked | 16 | 13 |
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Category by category
Coding DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 42.0 (#113), Granite 4.1 8b: 30.1 (#297)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 4.1 8b |
|---|---|---|
| LMArena Coding | 1426 | 1312 |
| LMArena WebDev | — | 1192 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |
Reasoning Too close to call
DeepSeek-V3.1-Terminus: 26.4 (#133), Granite 4.1 8b: 25.7 (#143)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 4.1 8b |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1293 |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
Math DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 38.5 (#137), Granite 4.1 8b: 36.4 (#166)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 4.1 8b |
|---|---|---|
| LMArena Math | 1402 | 1312 |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Granite 4.1 8b: 36.1 (#174)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 4.1 8b |
|---|---|---|
| LMArena Expert | — | 1309 |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.1 (#92), Granite 4.1 8b: 41.7 (#204)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 4.1 8b |
|---|---|---|
| LMArena Non-English | 1407 | 1261 |
| LMArena Russian | 1436 | 1240 |
| LMArena Chinese | — | 1337 |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.0 (#106), Granite 4.1 8b: 66.9 (#203)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 4.1 8b |
|---|---|---|
| LMArena Instruction Following | 1404 | 1269 |
Long Context DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 43.4 (#97), Granite 4.1 8b: 38.7 (#193)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 4.1 8b |
|---|---|---|
| LMArena Longer Query | 1421 | 1275 |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.0 (#92), Granite 4.1 8b: 48.1 (#204)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 4.1 8b |
|---|---|---|
| LMArena Text | 1419 | 1290 |
| LMArena Creative Writing | 1403 | 1251 |
| LMArena Multi-Turn | 1411 | 1268 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Granite 4.1 8b?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 37.4 on the Noometry Index.
Is DeepSeek-V3.1-Terminus or Granite 4.1 8b better for coding?
DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 30.1 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1-Terminus and Granite 4.1 8b share?
10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Granite 4.1 8b has 13.