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

DeepSeek-V4-Flash-Max and DeepSeek-V4-Pro-0813 both come from DeepSeek, DeepSeek-V4-Flash-Max was released in April 2026, and DeepSeek-V4-Pro-0813 followed 4 months later in August 2026. DeepSeek-V4-Pro-0813 is the larger model at roughly 1.6 trillion parameters, against 284 billion for DeepSeek-V4-Flash-Max.

The two models share 2 published benchmarks. DeepSeek-V4-Pro-0813 leads on 2 of them. The widest gaps are on Toolathlon, where DeepSeek-V4-Pro-0813 scores 74.0% against 47.8%; Humanity's Last Exam, where DeepSeek-V4-Pro-0813 scores 60.0% against 45.1%. Averaged across everything we track, DeepSeek-V4-Flash-Max sits at 72.8% and DeepSeek-V4-Pro-0813 at 60.6%.

DeepSeek-V4-Flash-Max is the cheaper API at $0.14 per million input tokens and $0.28 per million output tokens, roughly 9 times cheaper than DeepSeek-V4-Pro-0813 at $1.32 and $3.96. Both accept a context window of about 1M tokens.

CharacteristicDeepSeek-V4-Flash-MaxDeepSeek-V4-Pro-0813
CompanyDeepSeekDeepSeek
Release DateApril 23, 2026August 13, 2026
Parameters284B1.6T
MultimodalNoNo
Context (input)1.0M1.0M
Context (output)393K393K
Input Price / 1M$0.14$1.32
Output Price / 1M$0.28$3.96
Average Score72.8%60.6%
Benchmarks
Toolathlon47.8%74.0%
Humanity's Last Exam45.1%60.0%

Visual Benchmark Comparison

DeepSeek-V4-Flash-Max
DeepSeek-V4-Pro-0813
Toolathlon0.5 vs 0.7
0.5
0.7
Humanity's Last Exam0.5 vs 0.6
0.5
0.6

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Flash-Max — 0.7, DeepSeek-V4-Pro-0813 — 0.6.

API Cost

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

Context Window

Same context size: 1M tokens.

Recency

DeepSeek-V4-Pro-0813 is newer: released 8/13/2026 vs 4/23/2026.

More About These Models

Related Comparisons

Frequently Asked Questions

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

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