Model comparison
DeepSeek-V3.1-Terminus vs Llama 2-70B
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 24.1 on the Noometry Index.
Last verified . 11 shared benchmarks.
DeepSeek
MetaSummary
- 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 writing & preference, where DeepSeek-V3.1-Terminus leads 61.3 to 32.5.
- The biggest single-benchmark swing is DTBench: 81.3% for DeepSeek-V3.1-Terminus and 41.6% for Llama 2-70B.
Side by side
| DeepSeek-V3.1-Terminus | Llama 2-70B | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 42.6 | 24.1 |
| Released | 2025-09-22 | 2023-07-18 |
| Weights | Open | Open |
| Context window | 164K | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $1 | — |
| Results tracked | 16 | 35 |
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: 41.5 (#114), Llama 2-70B: 30.8 (#281)
| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1426 | 1079 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 25.7 (#126), Llama 2-70B: 13.7 (#324)
| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1427 | 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 | — | 113.59 |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |
Math DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 35.7 (#138), Llama 2-70B: 7.5 (#320)
| 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 Not comparable
DeepSeek-V3.1-Terminus: —, Llama 2-70B: 7.4 (#305)
| 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 leads
DeepSeek-V3.1-Terminus: 52.3 (#87), Llama 2-70B: 27.9 (#269)
| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1407 | 1045 |
| LMArena Russian | 1434 | 1083 |
| LMArena Chinese | — | 994 |
| LMArena French | — | 1089 |
| LMArena German | — | 1041 |
| LMArena Japanese | — | 927 |
| LMArena Korean | — | 964 |
| LMArena Spanish | — | 1142 |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.4 (#96), Llama 2-70B: 55.1 (#273)
| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1071 |
Long Context DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 43.5 (#88), Llama 2-70B: 32.2 (#265)
| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1426 | 1062 |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.3 (#87), Llama 2-70B: 32.5 (#274)
| Benchmark | DeepSeek-V3.1-Terminus | Llama 2-70B |
|---|---|---|
| LMArena Text | 1420 | 1115 |
| LMArena Creative Writing | 1404 | 1075 |
| LMArena Multi-Turn | 1411 | 1088 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Llama 2-70B?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 24.1 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: 41.5 versus 30.8 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.