Model comparison
DeepSeek-V3.1-Terminus vs Olmo 7b Instruct
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 30.3 on the Noometry Index.
Last verified . 9 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- They share 9 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 6 categories and Olmo 7b Instruct 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 25.8.
Side by side
| DeepSeek-V3.1-Terminus | Olmo 7b Instruct | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 43.1 | 30.3 |
| 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 | 10 |
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), Olmo 7b Instruct: 29.6 (#303)
| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Coding | 1426 | 1016 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 26.4 (#133), Olmo 7b Instruct: 18.8 (#274)
| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1426 | 993 |
| 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), Olmo 7b Instruct: 30.2 (#237)
| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Math | 1402 | 1018 |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.1 (#92), Olmo 7b Instruct: 24.0 (#291)
| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Non-English | 1407 | 977 |
| LMArena Russian | 1436 | 947 |
| LMArena Chinese | — | 1014 |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.0 (#106), Olmo 7b Instruct: 49.0 (#301)
| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Instruction Following | 1404 | 978 |
Long Context Not comparable
DeepSeek-V3.1-Terminus: 43.4 (#97), Olmo 7b Instruct: —
| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Longer Query | 1421 | — |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.0 (#92), Olmo 7b Instruct: 25.8 (#303)
| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Text | 1419 | 1032 |
| LMArena Creative Writing | 1403 | 990 |
| LMArena Multi-Turn | 1411 | 1007 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Olmo 7b Instruct?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 30.3 on the Noometry Index.
Is DeepSeek-V3.1-Terminus or Olmo 7b Instruct better for coding?
DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 29.6 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1-Terminus and Olmo 7b Instruct share?
9 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Olmo 7b Instruct has 10.