DeepSeek-V4-Flash-Max vs GLM-5.2: Specs & Benchmark Comparison
DeepSeek-V4-Flash-Max is developed by DeepSeek, while GLM-5.2 comes from Zhipu AI. DeepSeek-V4-Flash-Max was released in April 2026, and GLM-5.2 followed 2 months later in June 2026. GLM-5.2 is the larger model at roughly 753 billion parameters, against 284 billion for DeepSeek-V4-Flash-Max.
The two models share 7 published benchmarks. GLM-5.2 leads on 6 of them, DeepSeek-V4-Flash-Max on 1. The widest gaps are on Humanity's Last Exam, where GLM-5.2 scores 54.7% against 45.1%; SWE-Bench Pro, where GLM-5.2 scores 62.1% against 52.6%. Averaged across everything we track, DeepSeek-V4-Flash-Max sits at 72.8% and GLM-5.2 at 60.9%.
DeepSeek-V4-Flash-Max 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-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 | 72.8% | 60.9% |
| Benchmarks | ||
| Humanity's Last Exam | 45.1% | 54.7% |
| SWE-Bench Pro | 52.6% | 62.1% |
| MCP Atlas | 69.0% | 76.8% |
| IMO-AnswerBench | 88.0% | 91.0% |
| GPQA | 88.1% | 91.0% |
| HMMT Feb 26 | 95.0% | 92.5% |
| Toolathlon | 47.8% | 48.2% |
Visual Benchmark Comparison
Verdict
GLM-5.2 leads in 2 out of 4 comparison categories.
Both models show comparable average scores: DeepSeek-V4-Flash-Max — 0.7, GLM-5.2 — 0.6.
DeepSeek-V4-Flash-Max is 13.8x cheaper: input $0.14/1M vs $1.40/1M tokens.
GLM-5.2 supports a larger context: 1M vs 1M tokens.
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?
Which model is cheaper — DeepSeek-V4-Flash-Max or GLM-5.2?
Which has a larger context window — DeepSeek-V4-Flash-Max or GLM-5.2?
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.