Model comparison
Deepseek Coder v2 vs Step 3.5 Flash
Step 3.5 Flash is the stronger model overall, scoring 42.3 to 35.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeek
StepFunSummary
- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 1 category and Step 3.5 Flash in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Step 3.5 Flash leads 58.8 to 38.2.
Side by side
| Deepseek Coder v2 | Step 3.5 Flash | |
|---|---|---|
| Provider | DeepSeek | StepFun |
| Noometry Index | 35.9 | 42.3 |
| Released | 2024-06-17 | 2026-01-29 |
| Weights | Open | Open |
| Context window | — | 256K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 24 | 19 |
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Category by category
Coding Step 3.5 Flash leads
Deepseek Coder v2: 38.1 (#183), Step 3.5 Flash: 42.4 (#105)
| Benchmark | Deepseek Coder v2 | Step 3.5 Flash |
|---|---|---|
| LMArena Coding | 1251 | 1436 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), Step 3.5 Flash: 22.2 (#202)
| Benchmark | Deepseek Coder v2 | Step 3.5 Flash |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1411 |
| NYT Connections (extended) | — | 28.4% |
| WinoGrande | 83.7% | — |
Math Step 3.5 Flash leads
Deepseek Coder v2: 34.9 (#190), Step 3.5 Flash: 42.6 (#84)
| Benchmark | Deepseek Coder v2 | Step 3.5 Flash |
|---|---|---|
| LMArena Math | 1241 | 1408 |
| MathArena Final-Answer Competitions | — | 66.8% |
| GSM8K | 94.5% | — |
Knowledge Step 3.5 Flash leads
Deepseek Coder v2: 32.3 (#212), Step 3.5 Flash: 39.6 (#132)
| Benchmark | Deepseek Coder v2 | Step 3.5 Flash |
|---|---|---|
| LMArena Expert | 1181 | 1421 |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Step 3.5 Flash leads
Deepseek Coder v2: 36.3 (#240), Step 3.5 Flash: 50.5 (#119)
| Benchmark | Deepseek Coder v2 | Step 3.5 Flash |
|---|---|---|
| LMArena Non-English | 1182 | 1385 |
| LMArena Chinese | 1201 | 1447 |
| LMArena French | 1185 | 1421 |
| LMArena German | 1164 | 1405 |
| LMArena Japanese | 1126 | 1354 |
| LMArena Korean | 1104 | 1352 |
| LMArena Russian | 1188 | 1385 |
| LMArena Spanish | 1153 | 1419 |
Instruction Following Step 3.5 Flash leads
Deepseek Coder v2: 61.7 (#242), Step 3.5 Flash: 73.1 (#124)
| Benchmark | Deepseek Coder v2 | Step 3.5 Flash |
|---|---|---|
| LMArena Instruction Following | 1180 | 1385 |
Long Context Step 3.5 Flash leads
Deepseek Coder v2: 37.0 (#224), Step 3.5 Flash: 42.8 (#117)
| Benchmark | Deepseek Coder v2 | Step 3.5 Flash |
|---|---|---|
| LMArena Longer Query | 1219 | 1402 |
Writing & Preference Step 3.5 Flash leads
Deepseek Coder v2: 38.2 (#253), Step 3.5 Flash: 58.8 (#113)
| Benchmark | Deepseek Coder v2 | Step 3.5 Flash |
|---|---|---|
| LMArena Text | 1191 | 1403 |
| LMArena Creative Writing | 1120 | 1357 |
| LMArena Multi-Turn | 1177 | 1405 |
Frequently asked questions
Is Deepseek Coder v2 better than Step 3.5 Flash?
Step 3.5 Flash is the stronger model overall, scoring 42.3 to 35.9 on the Noometry Index.
Is Deepseek Coder v2 or Step 3.5 Flash better for coding?
Step 3.5 Flash scores higher on coding benchmarks: 42.4 versus 38.1 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and Step 3.5 Flash share?
17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Step 3.5 Flash has 19.