Model comparison
DeepSeek-V3.1-Terminus vs Granite 3.0 2b Instruct
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 30.8 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 3.0 2b Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.0 to 29.6.
Side by side
| DeepSeek-V3.1-Terminus | Granite 3.0 2b Instruct | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 43.1 | 30.8 |
| 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 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 42.0 (#113), Granite 3.0 2b Instruct: 28.3 (#316)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 3.0 2b Instruct |
|---|---|---|
| LMArena Coding | 1426 | 1090 |
| SciCode | 40.6% | — |
| BigCodeBench Instruct | — | 20.5% |
| ALE-Bench | 745.17 | — |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 26.4 (#133), Granite 3.0 2b Instruct: 20.5 (#235)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 3.0 2b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1073 |
| 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 3.0 2b Instruct: 32.2 (#217)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 3.0 2b Instruct |
|---|---|---|
| LMArena Math | 1402 | 1117 |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Granite 3.0 2b Instruct: 29.0 (#241)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 3.0 2b Instruct |
|---|---|---|
| LMArena Expert | — | 1064 |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.1 (#92), Granite 3.0 2b Instruct: 27.0 (#278)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 3.0 2b Instruct |
|---|---|---|
| LMArena Non-English | 1407 | 1033 |
| LMArena Russian | 1436 | 1045 |
| LMArena Chinese | — | 1070 |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.0 (#106), Granite 3.0 2b Instruct: 53.9 (#284)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 3.0 2b Instruct |
|---|---|---|
| LMArena Instruction Following | 1404 | 1056 |
Long Context DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 43.4 (#97), Granite 3.0 2b Instruct: 32.5 (#268)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 3.0 2b Instruct |
|---|---|---|
| LMArena Longer Query | 1421 | 1070 |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.0 (#92), Granite 3.0 2b Instruct: 29.6 (#292)
| Benchmark | DeepSeek-V3.1-Terminus | Granite 3.0 2b Instruct |
|---|---|---|
| LMArena Text | 1419 | 1080 |
| LMArena Creative Writing | 1403 | 1046 |
| LMArena Multi-Turn | 1411 | 1053 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Granite 3.0 2b Instruct?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 30.8 on the Noometry Index.
Is DeepSeek-V3.1-Terminus or Granite 3.0 2b Instruct better for coding?
DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 28.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1-Terminus and Granite 3.0 2b Instruct share?
10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Granite 3.0 2b Instruct has 13.