DeepSeek-V4-Flash-0423 vs GPT-5.2: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-0423 | GPT-5.2 |
|---|---|---|
| Company | DeepSeek | OpenAI |
| Release Date | April 23, 2026 | December 10, 2025 |
| Parameters | 284B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 256K |
| Context (output) | 131K | 128K |
| Input Price / 1M | $0.14 | $1.50 |
| Output Price / 1M | $0.28 | $6.00 |
| Average Score | 0.9 | 1.0 |
| Benchmarks | ||
| GPQA | 0.9 | 0.9 |
Visual Benchmark Comparison
DeepSeek-V4-Flash-0423
GPT-5.2
GPQA0.9 vs 0.9
0.9
0.9
Verdict
DeepSeek-V4-Flash-0423 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Flash-0423 — 0.9, GPT-5.2 — 1.0.
API Cost
DeepSeek-V4-Flash-0423 is 17.9x cheaper: input $0.14/1M vs $1.50/1M tokens.
Context Window
DeepSeek-V4-Flash-0423 supports a larger context: 1M vs 256K tokens.
Recency
DeepSeek-V4-Flash-0423 is newer: released 4/23/2026 vs 12/10/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-0423 or GPT-5.2?
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-0423 or GPT-5.2?
DeepSeek-V4-Flash-0423 is cheaper for input: $0.14 per 1M tokens vs $1.50.
Which has a larger context window — DeepSeek-V4-Flash-0423 or GPT-5.2?
DeepSeek-V4-Flash-0423 supports a larger context: 1,000,000 tokens vs 256,000.
The DeepSeek-V4-Flash-0423 and GPT-5.2 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-0423 or GPT-5.2 page. See also the complete list of AI model comparisons.