DeepSeek-V4-Pro-0813 vs Qwen3.8 Flash: Specs & Benchmark Comparison

DeepSeek-V4-Pro-0813 is developed by DeepSeek, while Qwen3.8 Flash comes from Alibaba. Both were released in August 2026. DeepSeek-V4-Pro-0813 is the larger model at roughly 1.6 trillion parameters, against 125 billion for Qwen3.8 Flash.

The two models share 4 published benchmarks. DeepSeek-V4-Pro-0813 leads on 3 of them, Qwen3.8 Flash on 1. The widest gaps are on Agents' Last Exam, where Qwen3.8 Flash scores 51.2% against 25.7%; Humanity's Last Exam, where DeepSeek-V4-Pro-0813 scores 60.0% against 35.9%. Averaged across everything we track, DeepSeek-V4-Pro-0813 sits at 60.6% and Qwen3.8 Flash at 68.5%.

Qwen3.8 Flash is the cheaper API at $0.15 per million input tokens and $0.47 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. DeepSeek-V4-Pro-0813 accepts text as input, while Qwen3.8 Flash accepts text, images, and video. On tooling, only DeepSeek-V4-Pro-0813 supports function calling and only DeepSeek-V4-Pro-0813 offers structured output.

CharacteristicDeepSeek-V4-Pro-0813Qwen3.8 Flash
CompanyDeepSeekAlibaba
Release DateAugust 13, 2026August 26, 2026
Parameters1.6T125B
MultimodalNoYes
Context (input)1.0M1.0M
Context (output)393K131K
Input Price / 1M$1.32$0.15
Output Price / 1M$3.96$0.47
Average Score60.6%68.5%
Benchmarks
Agents' Last Exam25.7%51.2%
Humanity's Last Exam60.0%35.9%
NL2Repo61.5%48.1%
Toolathlon74.0%73.5%

Visual Benchmark Comparison

DeepSeek-V4-Pro-0813
Qwen3.8 Flash
Agents' Last Exam0.3 vs 0.5
0.3
0.5
Humanity's Last Exam0.6 vs 0.4
0.6
0.4
NL2Repo0.6 vs 0.5
0.6
0.5
Toolathlon0.7 vs 0.7
0.7
0.7

Verdict

Qwen3.8 Flash leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.6, Qwen3.8 Flash — 0.7.

API Cost

Qwen3.8 Flash is 8.5x cheaper: input $0.15/1M vs $1.32/1M tokens.

Context Window

Qwen3.8 Flash supports a larger context: 1M vs 1M tokens.

Recency

Both models were released around the same time: 8/13/2026 and 8/26/2026.

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Pro-0813 or Qwen3.8 Flash?
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-Pro-0813 or Qwen3.8 Flash?
Qwen3.8 Flash is cheaper for input: $0.15 per 1M tokens vs $1.32.
Which has a larger context window — DeepSeek-V4-Pro-0813 or Qwen3.8 Flash?
Qwen3.8 Flash supports a larger context: 1,048,576 tokens vs 1,000,000.

The DeepSeek-V4-Pro-0813 and Qwen3.8 Flash 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-Pro-0813 or Qwen3.8 Flash page. See also the complete list of AI model comparisons.