AI model comparison
DeepSeek V4 Flash 0731 vs DeepSeek V3.2
Side by side comparison of DeepSeek V4 Flash 0731 and DeepSeek V3.2 on pricing, benchmark scores, context window, and more.
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total.
- Input / 1M
- $0.12
- Output / 1M
- $0.24
- Context
- 1.05M
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance.
- Input / 1M
- $0.28
- Output / 1M
- $0.42
- Context
- 164K
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At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
DeepSeek V4 Flash 0731
2.2x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
DeepSeek V4 Flash 0731
1.05M vs 164K tokens
Newer release
DeepSeek V4 Flash 0731
Released July 31, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4 Flash 0731Not availableDeepSeek V3.2Not availableCoding index
DeepSeek V4 Flash 073169.1DeepSeek V3.244.2Agentic index
DeepSeek V4 Flash 073141DeepSeek V3.2Not availablePricing
DeepSeek V4 Flash 0731 vs DeepSeek V3.2 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4 Flash 0731 | DeepSeek V3.2 |
|---|---|---|
| Input tokensPer 1M tokens | $0.12 | $0.28 |
| Output tokensPer 1M tokens | $0.24 | $0.42 |
| Cached input (read)Per 1M tokens | $0.02 | $0.03 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
DeepSeek V4 Flash 0731$0.36DeepSeek V3.2$0.77Coding task
30K in, 4K out
DeepSeek V4 Flash 0731$4.52$1.67 cachedDeepSeek V3.2$10.08$2.52 cachedLong document summary
150K in, 2K out
DeepSeek V4 Flash 0731$18.33$4.05 cachedDeepSeek V3.2$42.84$5.04 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V4 Flash 0731 | DeepSeek V3.2 |
|---|---|---|
| Context window | 1.05M tokens | 164K tokens |
| Max output | 944K tokens | 66K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low, None | Not available |
| Default reasoning effort | High | Not available |
| Release date | July 31, 2026 | December 1, 2025 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4 Flash 0731 | DeepSeek V3.2 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
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Our take
DeepSeek V4 Flash 0731 is 2.2x cheaper for a typical chat. DeepSeek V4 Flash 0731 has the larger context window (1.05M vs 164K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is DeepSeek V4 Flash 0731 or DeepSeek V3.2 cheaper?
DeepSeek V4 Flash 0731 is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4 Flash 0731 costs $0.12 per 1M input tokens and $0.24 per 1M output tokens, while DeepSeek V3.2 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens.
Which has a bigger context window, DeepSeek V4 Flash 0731 or DeepSeek V3.2?
DeepSeek V4 Flash 0731 supports up to 1.05M tokens of context, compared with 164K for DeepSeek V3.2.
Can I use DeepSeek V4 Flash 0731 and DeepSeek V3.2 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4 Flash 0731 and DeepSeek V3.2 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4 Flash 0731 and DeepSeek V3.2 at the same time. Compare the answers side by side and keep the best one.