Model comparison
DeepSeek-V3.1-Terminus vs Molmo 2 8b
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 38.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- They share 4 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 4 categories and Molmo 2 8b in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.3 to 49.5.
Side by side
| DeepSeek-V3.1-Terminus | Molmo 2 8b | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 42.6 | 38.7 |
| Released | 2025-09-22 | — |
| Weights | Open | Open |
| Context window | 164K | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $1 | — |
| Results tracked | 16 | 5 |
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Category by category
Coding Not comparable
DeepSeek-V3.1-Terminus: 41.5 (#114), Molmo 2 8b: —
| Benchmark | DeepSeek-V3.1-Terminus | Molmo 2 8b |
|---|---|---|
| SciCode | 40.6% | — |
| LMArena Coding | 1426 | — |
| ALE-Bench | 745.17 | — |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 25.7 (#126), Molmo 2 8b: 24.5 (#146)
| Benchmark | DeepSeek-V3.1-Terminus | Molmo 2 8b |
|---|---|---|
| LMArena Hard Prompts | 1427 | 1288 |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
Math Not comparable
DeepSeek-V3.1-Terminus: 35.7 (#138), Molmo 2 8b: —
| Benchmark | DeepSeek-V3.1-Terminus | Molmo 2 8b |
|---|---|---|
| LMArena Math | 1402 | — |
Multimodal Not comparable
DeepSeek-V3.1-Terminus: —, Molmo 2 8b: 29.5 (#106)
| Benchmark | DeepSeek-V3.1-Terminus | Molmo 2 8b |
|---|---|---|
| LMArena Vision | — | 1081 |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.3 (#87), Molmo 2 8b: 42.8 (#186)
| Benchmark | DeepSeek-V3.1-Terminus | Molmo 2 8b |
|---|---|---|
| LMArena Non-English | 1407 | 1275 |
| LMArena Russian | 1434 | — |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.4 (#96), Molmo 2 8b: 67.2 (#196)
| Benchmark | DeepSeek-V3.1-Terminus | Molmo 2 8b |
|---|---|---|
| LMArena Instruction Following | 1406 | 1270 |
Long Context Not comparable
DeepSeek-V3.1-Terminus: 43.5 (#88), Molmo 2 8b: —
| Benchmark | DeepSeek-V3.1-Terminus | Molmo 2 8b |
|---|---|---|
| LMArena Longer Query | 1426 | — |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.3 (#87), Molmo 2 8b: 49.5 (#187)
| Benchmark | DeepSeek-V3.1-Terminus | Molmo 2 8b |
|---|---|---|
| LMArena Text | 1420 | 1288 |
| LMArena Creative Writing | 1404 | — |
| LMArena Multi-Turn | 1411 | — |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Molmo 2 8b?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 38.7 on the Noometry Index.
How many benchmarks do DeepSeek-V3.1-Terminus and Molmo 2 8b share?
4 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Molmo 2 8b has 5.