# DeepSeek-V3.1-Terminus vs Olmo 7b Instruct

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 29.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-olmo-7b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 9

## 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 61.3 to 26.0.

## Snapshot

| | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 42.6 | 29.7 |
| Rank | 96 | 293 |
| Context | 164K | — |
| Input $/M | $0.30 | — |
| Output $/M | $1 | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1-Terminus: 41.5 (#114)
- Olmo 7b Instruct: 29.1 (#298)

| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Coding | 1426 | 1016 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |

## Reasoning

- DeepSeek-V3.1-Terminus: 25.7 (#126)
- Olmo 7b Instruct: 18.0 (#273)

| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1427 | 993 |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |

## Math

- DeepSeek-V3.1-Terminus: 35.7 (#138)
- Olmo 7b Instruct: 27.8 (#234)

| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Math | 1402 | 1018 |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.3 (#87)
- Olmo 7b Instruct: 24.1 (#286)

| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Non-English | 1407 | 977 |
| LMArena Russian | 1434 | 946 |
| LMArena Chinese | — | 1013 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.4 (#96)
- Olmo 7b Instruct: 49.3 (#296)

| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Instruction Following | 1406 | 978 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.5 (#88)
- Olmo 7b Instruct: —

| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Longer Query | 1426 | — |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.3 (#87)
- Olmo 7b Instruct: 26.0 (#298)

| Benchmark | DeepSeek-V3.1-Terminus | Olmo 7b Instruct |
|---|---|---|
| LMArena Text | 1420 | 1032 |
| LMArena Creative Writing | 1404 | 990 |
| LMArena Multi-Turn | 1411 | 1007 |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Olmo 7b Instruct?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 29.7 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: 41.5 versus 29.1 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.