DeepSeek-V4-Flash-Max vs Qwen3.7 Max: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-Max | Qwen3.7 Max |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | April 23, 2026 | May 19, 2026 |
| Parameters | 284B | — |
| Multimodal | No | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 393K | 66K |
| Input Price / 1M | $0.14 | $2.50 |
| Output Price / 1M | $0.28 | $7.50 |
| Average Score | 0.9 | 1.0 |
| Benchmarks | ||
| HMMT Feb 26 | 0.9 | 1.0 |
Visual Benchmark Comparison
DeepSeek-V4-Flash-Max
Qwen3.7 Max
HMMT Feb 260.9 vs 1.0
0.9
1.0
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 — 0.9, Qwen3.7 Max — 1.0.
API Cost
DeepSeek-V4-Flash-Max is 23.8x cheaper: input $0.14/1M vs $2.50/1M tokens.
Context Window
Same context size: 1M tokens.
Recency
Qwen3.7 Max is newer: released 5/19/2026 vs 4/23/2026.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-Max or Qwen3.7 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 Qwen3.7 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 Qwen3.7 Max?
DeepSeek-V4-Flash-Max supports a larger context: 1,000,000 tokens vs 1,000,000.
The DeepSeek-V4-Flash-Max and Qwen3.7 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 Qwen3.7 Max page. See also the complete list of AI model comparisons.