Model comparison
DeepSeek-V3.2-Speciale vs Step 3.7 Flash
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 37.3 on the Noometry Index. Step 3.7 Flash costs 2.1× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
DeepSeek
StepFunSummary
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 21.6.
- Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- Step 3.7 Flash accepts more context: 256K tokens versus 128K.
Side by side
| DeepSeek-V3.2-Speciale | Step 3.7 Flash | |
|---|---|---|
| Provider | DeepSeek | StepFun |
| Noometry Index | 39.7 | 37.3 |
| Released | 2025-12-01 | 2026-05-29 |
| Weights | Open | Open |
| Context window | 128K | 256K |
| Max output | 128K | 256K |
| Input $ / M tokens | $0.58 | $0.18 |
| Output $ / M tokens | $1.68 | $1.11 |
| Results tracked | 3 | 5 |
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Category by category
Coding Too close to call
DeepSeek-V3.2-Speciale: 40.4 (#140), Step 3.7 Flash: 40.0 (#150)
| Benchmark | DeepSeek-V3.2-Speciale | Step 3.7 Flash |
|---|---|---|
| SciCode | — | 40% |
| WeirdML | 46.7% | — |
| ALE-Bench | — | 694.12 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Step 3.7 Flash: 21.6 (#219)
| Benchmark | DeepSeek-V3.2-Speciale | Step 3.7 Flash |
|---|---|---|
| SimpleBench | 52.6% | — |
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Step 3.7 Flash: 42.9 (#82)
| Benchmark | DeepSeek-V3.2-Speciale | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
Writing & Preference Not comparable
DeepSeek-V3.2-Speciale: 46.0 (#222), Step 3.7 Flash: —
| Benchmark | DeepSeek-V3.2-Speciale | Step 3.7 Flash |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Step 3.7 Flash?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 37.3 on the Noometry Index. Step 3.7 Flash costs 2.1× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.2-Speciale or Step 3.7 Flash?
Step 3.7 Flash is cheaper. It lists at $0.18 per million input tokens and $1.11 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.
Is DeepSeek-V3.2-Speciale or Step 3.7 Flash better for coding?
They score almost the same on coding (40.4 vs 40.0); test both on your own repository before choosing.
Which has the bigger context window?
Step 3.7 Flash does, with 256K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Step 3.7 Flash share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Step 3.7 Flash has 5.