Model comparison
DeepSeek-V2.5 (Sep 2024) vs Olmo 7b Instruct
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 30.3 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- They share 10 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) 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-V2.5 (Sep 2024) leads 49.8 to 25.8.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Olmo 7b Instruct | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 37.6 | 30.3 |
| Released | 2024-09-06 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 10 |
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Category by category
Coding DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Olmo 7b Instruct: 29.6 (#303)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 7b Instruct |
|---|---|---|
| LMArena Coding | 1309 | 1016 |
| 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), Olmo 7b Instruct: 18.8 (#274)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 7b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1289 | 993 |
Math DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Olmo 7b Instruct: 30.2 (#237)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 7b Instruct |
|---|---|---|
| LMArena Math | 1288 | 1018 |
Knowledge Not comparable
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Olmo 7b Instruct: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 7b Instruct |
|---|---|---|
| LMArena Expert | 1266 | — |
Multilingual DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Olmo 7b Instruct: 24.0 (#291)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 7b Instruct |
|---|---|---|
| LMArena Non-English | 1273 | 977 |
| LMArena Chinese | 1318 | 1014 |
| LMArena Russian | 1289 | 947 |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Spanish | 1248 | — |
Instruction Following DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Olmo 7b Instruct: 49.0 (#301)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 7b Instruct |
|---|---|---|
| LMArena Instruction Following | 1280 | 978 |
Long Context Not comparable
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Olmo 7b Instruct: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 7b Instruct |
|---|---|---|
| LMArena Longer Query | 1301 | — |
Writing & Preference DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Olmo 7b Instruct: 25.8 (#303)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 7b Instruct |
|---|---|---|
| LMArena Text | 1294 | 1032 |
| LMArena Creative Writing | 1285 | 990 |
| LMArena Multi-Turn | 1297 | 1007 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Olmo 7b Instruct?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 30.3 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Olmo 7b Instruct better for coding?
DeepSeek-V2.5 (Sep 2024) scores higher on coding benchmarks: 31.7 versus 29.6 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Olmo 7b Instruct share?
10 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Olmo 7b Instruct has 10.