Model comparison
DeepSeek-V2.5 (Sep 2024) vs Step 3
Step 3 is the stronger model overall, scoring 40.5 to 37.6 on the Noometry Index.
Last verified . 15 shared benchmarks.
DeepSeek
StepFunSummary
- They share 15 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Step 3 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Step 3 leads 40.1 to 31.7.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Step 3 | |
|---|---|---|
| Provider | DeepSeek | StepFun |
| Noometry Index | 37.6 | 40.5 |
| Released | 2024-09-06 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 17 |
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Category by category
Coding Step 3 leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Step 3: 40.1 (#147)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3 |
|---|---|---|
| LMArena Coding | 1309 | 1367 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning Step 3 leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Step 3: 28.4 (#105)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3 |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1355 |
| Kagi LLM Benchmark | — | 62.3% |
Math Step 3 leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Step 3: 37.6 (#148)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3 |
|---|---|---|
| LMArena Math | 1288 | 1366 |
Knowledge Step 3 leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Step 3: 36.8 (#164)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3 |
|---|---|---|
| LMArena Expert | 1266 | 1333 |
Multimodal Not comparable
DeepSeek-V2.5 (Sep 2024): —, Step 3: 35.5 (#86)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3 |
|---|---|---|
| LMArena Vision | — | 1177 |
Multilingual Step 3 leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Step 3: 46.3 (#159)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3 |
|---|---|---|
| LMArena Non-English | 1273 | 1327 |
| LMArena Chinese | 1318 | 1397 |
| LMArena German | 1258 | 1371 |
| LMArena Korean | 1209 | 1269 |
| LMArena Russian | 1289 | 1331 |
| LMArena Spanish | 1248 | 1371 |
| LMArena French | 1289 | — |
| LMArena Japanese | 1228 | — |
Instruction Following Step 3 leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Step 3: 70.4 (#164)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3 |
|---|---|---|
| LMArena Instruction Following | 1280 | 1332 |
Long Context Too close to call
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Step 3: 40.3 (#157)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3 |
|---|---|---|
| LMArena Longer Query | 1301 | 1326 |
Writing & Preference Step 3 leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Step 3: 54.3 (#151)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Step 3 |
|---|---|---|
| LMArena Text | 1294 | 1350 |
| LMArena Creative Writing | 1285 | 1321 |
| LMArena Multi-Turn | 1297 | 1341 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Step 3?
Step 3 is the stronger model overall, scoring 40.5 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Step 3 better for coding?
Step 3 scores higher on coding benchmarks: 40.1 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Step 3 share?
15 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Step 3 has 17.