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

DeepSeek-V4-Flash-Max is developed by DeepSeek, while Qwen3.8 Max comes from Alibaba. DeepSeek-V4-Flash-Max was released in April 2026, and Qwen3.8 Max followed 4 months later in August 2026. Qwen3.8 Max is the larger model at roughly 2.4 trillion parameters, against 284 billion for DeepSeek-V4-Flash-Max.

The two models share 4 published benchmarks. Qwen3.8 Max leads on 3 of them, DeepSeek-V4-Flash-Max on 1. The widest gaps are on Toolathlon, where Qwen3.8 Max scores 72.5% against 47.8%; SWE-Bench Pro, where Qwen3.8 Max scores 67.7% against 52.6%. Averaged across everything we track, DeepSeek-V4-Flash-Max sits at 72.8% and Qwen3.8 Max at 71.0%.

DeepSeek-V4-Flash-Max is the cheaper API at $0.14 per million input tokens and $0.28 per million output tokens, roughly 18 times cheaper than Qwen3.8 Max at $2.50 and $6.25. Both accept a context window of about 1M tokens. DeepSeek-V4-Flash-Max accepts text as input, while Qwen3.8 Max accepts text and images.

CharacteristicDeepSeek-V4-Flash-MaxQwen3.8 Max
CompanyDeepSeekAlibaba
Release DateApril 23, 2026August 2, 2026
Parameters284B2.4T
MultimodalNoYes
Context (input)1.0M1.0M
Context (output)393K131K
Input Price / 1M$0.14$2.50
Output Price / 1M$0.28$6.25
Average Score72.8%71.0%
Benchmarks
Toolathlon47.8%72.5%
SWE-Bench Pro52.6%67.7%
GPQA88.1%92.6%
Humanity's Last Exam45.1%43.6%

Visual Benchmark Comparison

DeepSeek-V4-Flash-Max
Qwen3.8 Max
Toolathlon0.5 vs 0.7
0.5
0.7
SWE-Bench Pro0.5 vs 0.7
0.5
0.7
GPQA0.9 vs 0.9
0.9
0.9
Humanity's Last Exam0.5 vs 0.4
0.5
0.4

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, Qwen3.8 Max — 0.7.

API Cost

DeepSeek-V4-Flash-Max is 20.8x cheaper: input $0.14/1M vs $2.50/1M tokens.

Context Window

Same context size: 1M tokens.

Recency

Qwen3.8 Max is newer: released 8/2/2026 vs 4/23/2026.

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Flash-Max or Qwen3.8 Max?
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 Qwen3.8 Max?
DeepSeek-V4-Flash-Max is cheaper for input: $0.14 per 1M tokens vs $2.50.
Which has a larger context window — DeepSeek-V4-Flash-Max or Qwen3.8 Max?
DeepSeek-V4-Flash-Max supports a larger context: 1,000,000 tokens vs 1,000,000.

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