# DeepSeek-V3.1-Terminus vs Llama 2-70B

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-llama-2-70b
- Last updated: 2026-10-12
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Llama 2-70B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V3.1-Terminus leads 38.5 to 8.1.
- The biggest single-benchmark swing is DTBench: 81.3% for DeepSeek-V3.1-Terminus and 41.6% for Llama 2-70B.

## Snapshot

| | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 43.1 | 24.4 |
| Rank | 97 | 349 |
| Context | 164K | — |
| Input $/M | $0.27 | — |
| Output $/M | $1 | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Llama 2-70B: 31.4 (#286)

| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1426 | 1079 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Llama 2-70B: 14.4 (#325)

| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1073 |
| DTBench | 81.3% | 41.6% |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| LMCA | 28.6% | — |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| Epoch Capabilities Index | — | 113.79 |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Llama 2-70B: 8.1 (#326)

| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Math | 1402 | 1091 |
| OTIS Mock AIME 2024-2025 | — | 0% |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Llama 2-70B: 7.4 (#310)

| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| GPQA Diamond | — | 26.3% |
| LMArena Expert | — | 1039 |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Llama 2-70B: 27.7 (#274)

| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1407 | 1045 |
| LMArena Russian | 1436 | 1083 |
| LMArena Chinese | — | 995 |
| LMArena French | — | 1090 |
| LMArena German | — | 1041 |
| LMArena Japanese | — | 927 |
| LMArena Korean | — | 964 |
| LMArena Spanish | — | 1143 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Llama 2-70B: 54.9 (#278)

| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1071 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Llama 2-70B: 32.3 (#270)

| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1421 | 1062 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Llama 2-70B: 32.3 (#279)

| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Text | 1419 | 1115 |
| LMArena Creative Writing | 1403 | 1075 |
| LMArena Multi-Turn | 1411 | 1088 |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Llama 2-70B?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 24.4 on the Noometry Index.

### Is DeepSeek-V3.1-Terminus or Llama 2-70B better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 31.4 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1-Terminus and Llama 2-70B share?

11 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Llama 2-70B has 35.