DeepSeek-V4-Flash-0731 vs GLM-5.2: Specs & Benchmark Comparison
DeepSeek-V4-Flash-0731 is developed by DeepSeek, while GLM-5.2 comes from Zhipu AI. GLM-5.2 was released in June 2026, and DeepSeek-V4-Flash-0731 followed a month later in July 2026. GLM-5.2 is the larger model at roughly 753 billion parameters, against 304 billion for DeepSeek-V4-Flash-0731.
We have 4 benchmark results for DeepSeek-V4-Flash-0731 and 4 benchmark results for GLM-5.2, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
DeepSeek-V4-Flash-0731 is the cheaper API at $0.14 per million input tokens and $0.28 per million output tokens, roughly 10 times cheaper than GLM-5.2 at $1.40 and $4.40. Both accept a context window of about 1M tokens.
| Characteristic | DeepSeek-V4-Flash-0731 | GLM-5.2 |
|---|---|---|
| Company | DeepSeek | Zhipu AI |
| Release Date | July 31, 2026 | June 16, 2026 |
| Parameters | 304B | 753B |
| Multimodal | No | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 393K | 131K |
| Input Price / 1M | $0.14 | $1.40 |
| Output Price / 1M | $0.28 | $4.40 |
| Average Score | 74.8% | 94.3% |
Verdict
DeepSeek-V4-Flash-0731 leads in 2 out of 4 comparison categories.
Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.7, GLM-5.2 — 0.9.
DeepSeek-V4-Flash-0731 is 13.8x cheaper: input $0.14/1M vs $1.40/1M tokens.
GLM-5.2 supports a larger context: 1M vs 1M tokens.
DeepSeek-V4-Flash-0731 is newer: released 7/31/2026 vs 6/16/2026.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-0731 or GLM-5.2?
Which model is cheaper — DeepSeek-V4-Flash-0731 or GLM-5.2?
Which has a larger context window — DeepSeek-V4-Flash-0731 or GLM-5.2?
The DeepSeek-V4-Flash-0731 and GLM-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-0731 or GLM-5.2 page. See also the complete list of AI model comparisons.