Model comparison
DeepSeek-V2.5 (Sep 2024) vs Llama2 70b Steerlm Chat
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
DeepSeek
NVIDIASummary
- They share 9 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 7 categories and Llama2 70b Steerlm Chat in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V2.5 (Sep 2024) leads 49.8 to 31.6.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 37.6 | 31.8 |
| Released | 2024-09-06 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 9 |
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Category by category
Coding DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1309 | 1025 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Llama2 70b Steerlm Chat: 20.0 (#246)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1047 |
Math DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1288 | 1072 |
Knowledge Not comparable
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Llama2 70b Steerlm Chat: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Expert | 1266 | — |
Multilingual DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1273 | 1063 |
| LMArena Chinese | 1318 | — |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |
Instruction Following DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1280 | 1060 |
Long Context DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1301 | 998 |
Writing & Preference DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1294 | 1098 |
| LMArena Creative Writing | 1285 | 1091 |
| LMArena Multi-Turn | 1297 | 1058 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Llama2 70b Steerlm Chat?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.8 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Llama2 70b Steerlm Chat better for coding?
DeepSeek-V2.5 (Sep 2024) scores higher on coding benchmarks: 31.7 versus 29.9 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Llama2 70b Steerlm Chat has 9.