DeepSeek-V4-Flash-0731 vs GPT-5.1 Thinking: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-0731 | GPT-5.1 Thinking |
|---|---|---|
| Company | DeepSeek | OpenAI |
| Release Date | July 31, 2026 | November 11, 2025 |
| Parameters | 304B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 256K |
| Context (output) | 393K | 128K |
| Input Price / 1M | $0.14 | $3.00 |
| Output Price / 1M | $0.28 | $12.00 |
| Average Score | 0.7 | 0.9 |
Verdict
DeepSeek-V4-Flash-0731 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.7, GPT-5.1 Thinking — 0.9.
API Cost
DeepSeek-V4-Flash-0731 is 35.7x cheaper: input $0.14/1M vs $3.00/1M tokens.
Context Window
DeepSeek-V4-Flash-0731 supports a larger context: 1M vs 256K tokens.
Recency
DeepSeek-V4-Flash-0731 is newer: released 7/31/2026 vs 11/11/2025.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-0731 or GPT-5.1 Thinking?
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-0731 or GPT-5.1 Thinking?
DeepSeek-V4-Flash-0731 is cheaper for input: $0.14 per 1M tokens vs $3.00.
Which has a larger context window — DeepSeek-V4-Flash-0731 or GPT-5.1 Thinking?
DeepSeek-V4-Flash-0731 supports a larger context: 1,000,000 tokens vs 256,000.
The DeepSeek-V4-Flash-0731 and GPT-5.1 Thinking 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-0731 or GPT-5.1 Thinking page. See also the complete list of AI model comparisons.