DeepSeek-V4-Flash-0731 vs DeepSeek-V4-Flash-Vision-Exp: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-0731 | DeepSeek-V4-Flash-Vision-Exp |
|---|---|---|
| Company | DeepSeek | DeepSeek |
| Release Date | July 31, 2026 | August 21, 2026 |
| Parameters | 304B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 393K | 393K |
| Input Price / 1M | $0.14 | $0.22 |
| Output Price / 1M | $0.28 | $0.66 |
| Average Score | 0.7 | 0.5 |
| Benchmarks | ||
| Terminal-Bench 2.1 | 0.8 | 0.8 |
Visual Benchmark Comparison
DeepSeek-V4-Flash-0731
DeepSeek-V4-Flash-Vision-Exp
Terminal-Bench 2.10.8 vs 0.8
0.8
0.8
Verdict
DeepSeek-V4-Flash-Vision-Exp leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.7, DeepSeek-V4-Flash-Vision-Exp — 0.5.
API Cost
DeepSeek-V4-Flash-0731 is 2.1x cheaper: input $0.14/1M vs $0.22/1M tokens.
Context Window
DeepSeek-V4-Flash-Vision-Exp supports a larger context: 1M vs 1M tokens.
Recency
DeepSeek-V4-Flash-Vision-Exp is newer: released 8/21/2026 vs 7/31/2026.
More About These Models
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-0731 or DeepSeek-V4-Flash-Vision-Exp?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Flash-0731 or DeepSeek-V4-Flash-Vision-Exp?
DeepSeek-V4-Flash-0731 is cheaper for input: $0.14 per 1M tokens vs $0.22.
Which has a larger context window — DeepSeek-V4-Flash-0731 or DeepSeek-V4-Flash-Vision-Exp?
DeepSeek-V4-Flash-Vision-Exp supports a larger context: 1,048,576 tokens vs 1,000,000.
The DeepSeek-V4-Flash-0731 and DeepSeek-V4-Flash-Vision-Exp comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Flash-0731 or DeepSeek-V4-Flash-Vision-Exp page. See also the complete list of AI model comparisons.