DeepSeek-V4-Flash-Max vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-Max | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | April 23, 2026 | July 24, 2025 |
| Parameters | 284B | 235B |
| Multimodal | No | No |
| Context (input) | 1.0M | 256K |
| Context (output) | 393K | 131K |
| Input Price / 1M | $0.14 | $0.30 |
| Output Price / 1M | $0.28 | $3.00 |
| Average Score | 0.9 | 0.9 |
Verdict
DeepSeek-V4-Flash-Max leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Flash-Max — 0.9, Qwen3-235B-A22B-Thinking-2507 — 0.9.
API Cost
DeepSeek-V4-Flash-Max is 7.9x cheaper: input $0.14/1M vs $0.30/1M tokens.
Context Window
DeepSeek-V4-Flash-Max supports a larger context: 1M vs 256K tokens.
Recency
DeepSeek-V4-Flash-Max is newer: released 4/23/2026 vs 7/24/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-Max or Qwen3-235B-A22B-Thinking-2507?
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 Qwen3-235B-A22B-Thinking-2507?
DeepSeek-V4-Flash-Max is cheaper for input: $0.14 per 1M tokens vs $0.30.
Which has a larger context window — DeepSeek-V4-Flash-Max or Qwen3-235B-A22B-Thinking-2507?
DeepSeek-V4-Flash-Max supports a larger context: 1,000,000 tokens vs 256,000.
The DeepSeek-V4-Flash-Max and Qwen3-235B-A22B-Thinking-2507 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 Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.