DeepSeek-V4-Pro-0813 vs GLM-5.3-Flash
DeepSeek-V4-Pro-0813 (DeepSeek) and GLM-5.3-Flash (Z.ai (Zhipu AI)) compared on benchmarks, pricing, context window, and use-case rankings.
- DeepSeek-V4-Pro-0813 leads on overall intelligence (ECI 155 vs 152).
- GLM-5.3-Flash is cheaper on input tokens — $0.10 vs $0.58 per 1M.
- GLM-5.3-Flash has a larger context window (1.3M vs 1M tokens).
- GLM-5.3-Flash ranks higher for coding (83th vs 78th percentile).
| Attribute | DeepSeek-V4-Pro-0813 | GLM-5.3-Flash |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 155 | 152 |
| Coding | 78 | 83 |
| Math | 88 | 66 |
| Reasoning & Knowledge | 70 | 56 |
| Agentic & Tools | — | — |
| Specifications | ||
| Developer | DeepSeek | Z.ai (Zhipu AI) |
| Family | DeepSeek | — |
| Released | Aug 13, 2026 | Aug 20, 2026 |
| Parameters | 1.6T | 320B |
| Availability | Open weights (unrestricted) | Open weights (unrestricted) |
| Context window | 1M | 1.3M |
| Price — $/M input | $0.58 | $0.10 |
| Price — $/M output | $1.74 | $0.35 |
| Inputs | text | text, image, video |
| Outputs | text | text |
| Benchmarks | ||
| AIME 2024/2025 | 99% | 94% |
| ARC-AGI | 91% | — |
| ARC-AGI-2 | 61% | — |
| GPQA Diamond | 92% | 90% |
| Humanity's Last Exam | 41% | 40% |
| SciCode | 51% | 52% |
| SimpleQA Verified | 53% | 32% |
| WebDev Arena | 1582 | 1604 |
| WeirdML | 66% | — |
Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.
Frequently asked questions
Is DeepSeek-V4-Pro-0813 better than GLM-5.3-Flash?
On Epoch AI's Capabilities Index, DeepSeek-V4-Pro-0813 scores higher (155) than GLM-5.3-Flash (152). The right pick depends on your task — compare their coding, math, and reasoning scores in the table above.
Which is cheaper, DeepSeek-V4-Pro-0813 or GLM-5.3-Flash?
GLM-5.3-Flash is cheaper on input tokens at $0.10 per million, versus $0.58 (representative OpenRouter pricing).
Which has a larger context window, DeepSeek-V4-Pro-0813 or GLM-5.3-Flash?
GLM-5.3-Flash supports up to 1.3M tokens, compared with 1M for the other.
Which is better for coding, DeepSeek-V4-Pro-0813 or GLM-5.3-Flash?
Across coding benchmarks like SWE-bench Verified and Terminal-Bench, GLM-5.3-Flash ranks higher — 83th vs 78th percentile among the models tracked on Model Beat.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.