DeepSeek-V4-Flash-Max vs GLM-5.2: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-Max | GLM-5.2 |
|---|---|---|
| Company | DeepSeek | Zhipu AI |
| Release Date | April 23, 2026 | June 16, 2026 |
| Parameters | 284B | 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 | 0.9 | 0.9 |
| Benchmarks | ||
| HMMT Feb 26 | 0.9 | 0.9 |
Visual Benchmark Comparison
DeepSeek-V4-Flash-Max
GLM-5.2
HMMT Feb 260.9 vs 0.9
0.9
0.9
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, GLM-5.2 — 0.9.
API Cost
DeepSeek-V4-Flash-Max is 13.8x cheaper: input $0.14/1M vs $1.40/1M tokens.
Context Window
Same context size: 1M tokens.
Recency
GLM-5.2 is newer: released 6/16/2026 vs 4/23/2026.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-Max or GLM-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-Max or GLM-5.2?
DeepSeek-V4-Flash-Max is cheaper for input: $0.14 per 1M tokens vs $1.40.
Which has a larger context window — DeepSeek-V4-Flash-Max or GLM-5.2?
DeepSeek-V4-Flash-Max supports a larger context: 1,000,000 tokens vs 1,000,000.
The DeepSeek-V4-Flash-Max 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-Max or GLM-5.2 page. See also the complete list of AI model comparisons.