DeepSeek V3.2 vs Step 3.7 Flash
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V3.2 and Step 3.7 Flash.
DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Step 3.7 Flash
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...
Technical Specifications
| Specification | DeepSeek V3.2 | Step 3.7 Flash |
|---|---|---|
| Provider | DeepSeek | StepFun |
| Context Window | 131,072 tokens | 256,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-12-01 | 2026-05-28 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3.2
$0.23
Step 3.7 Flash
$0.20
Output Price per Million Tokens
DeepSeek V3.2
$0.34
Step 3.7 Flash
$1.15
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
DeepSeek V3.2 Quirks & Gotchas
No developer gotchas reported.
Step 3.7 Flash Quirks & Gotchas
No developer gotchas reported.