DeepSeek-V4-Flash-0731 vs GPT-5.6 Luna: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-0731 | GPT-5.6 Luna |
|---|---|---|
| Company | DeepSeek | OpenAI |
| Release Date | July 31, 2026 | July 9, 2026 |
| Parameters | 304B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 1.1M |
| Context (output) | 393K | 128K |
| Input Price / 1M | $0.14 | $0.20 |
| Output Price / 1M | $0.28 | $1.20 |
| Average Score | 0.7 | 0.5 |
| Benchmarks | ||
| Toolathlon | 0.7 | 0.5 |
| Terminal-Bench 2.1 | 0.8 | 0.8 |
Visual Benchmark Comparison
DeepSeek-V4-Flash-0731
GPT-5.6 Luna
Toolathlon0.7 vs 0.5
0.7
0.5
Terminal-Bench 2.10.8 vs 0.8
0.8
0.8
Verdict
DeepSeek-V4-Flash-0731 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.7, GPT-5.6 Luna — 0.5.
API Cost
DeepSeek-V4-Flash-0731 is 3.3x cheaper: input $0.14/1M vs $0.20/1M tokens.
Context Window
GPT-5.6 Luna supports a larger context: 1M vs 1M tokens.
Recency
DeepSeek-V4-Flash-0731 is newer: released 7/31/2026 vs 7/9/2026.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-0731 or GPT-5.6 Luna?
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-5.6 Luna?
DeepSeek-V4-Flash-0731 is cheaper for input: $0.14 per 1M tokens vs $0.20.
Which has a larger context window — DeepSeek-V4-Flash-0731 or GPT-5.6 Luna?
GPT-5.6 Luna supports a larger context: 1,050,000 tokens vs 1,000,000.
The DeepSeek-V4-Flash-0731 and GPT-5.6 Luna 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-5.6 Luna page. See also the complete list of AI model comparisons.