DeepSeek-V4-Flash-0731 vs DeepSeek-V4-Pro-0813: Specs & Benchmark Comparison

CharacteristicDeepSeek-V4-Flash-0731DeepSeek-V4-Pro-0813
CompanyDeepSeekDeepSeek
Release DateJuly 31, 2026August 13, 2026
Parameters304B1.6T
MultimodalNoNo
Context (input)1.0M1.0M
Context (output)393K393K
Input Price / 1M$0.14$1.32
Output Price / 1M$0.28$3.96
Average Score0.70.8
Benchmarks
CyberGym0.80.8
Terminal-Bench 2.10.80.9
Toolathlon0.70.7
DSBench-FullStack0.70.7

Visual Benchmark Comparison

DeepSeek-V4-Flash-0731
DeepSeek-V4-Pro-0813
CyberGym0.8 vs 0.8
0.8
0.8
Terminal-Bench 2.10.8 vs 0.9
0.8
0.9
Toolathlon0.7 vs 0.7
0.7
0.7
DSBench-FullStack0.7 vs 0.7
0.7
0.7

Verdict

DeepSeek-V4-Flash-0731 leads in 1 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.7, DeepSeek-V4-Pro-0813 — 0.8.

API Cost

DeepSeek-V4-Flash-0731 is 12.6x cheaper: input $0.14/1M vs $1.32/1M tokens.

Context Window

Same context size: 1M tokens.

Recency

Both models were released around the same time: 7/31/2026 and 8/13/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Flash-0731 or DeepSeek-V4-Pro-0813?
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-Pro-0813?
DeepSeek-V4-Flash-0731 is cheaper for input: $0.14 per 1M tokens vs $1.32.
Which has a larger context window — DeepSeek-V4-Flash-0731 or DeepSeek-V4-Pro-0813?
DeepSeek-V4-Flash-0731 supports a larger context: 1,000,000 tokens vs 1,000,000.

The DeepSeek-V4-Flash-0731 and DeepSeek-V4-Pro-0813 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-Pro-0813 page. See also the complete list of AI model comparisons.