Model comparison
DeepSeek-V4-Flash-Vision-Exp vs GLM-5.3
- Input
- $0.22 off-peak · $0.44 peak
- Output
- $0.66 off-peak · $1.32 peak
- Context
- 1M
- Released
- 2026-08-21
- Input
- $1.40
- Output
- $4.40
- Context
- 1M
- Released
- 2026-08-14
GLM-5.3 scores higher on 2 of the 2 benchmarks both models report; DeepSeek-V4-Flash-Vision-Exp is cheaper on input tokens ($0.2 vs $1.4 per 1M, 6.4×).
Specs and pricing side by side
| Spec | DeepSeek-V4-Flash-Vision-Exp | GLM-5.3 |
|---|---|---|
| Maker | DeepSeek | Z.ai (Zhipu / GLM) |
| Released | 2026-08-21 | 2026-08-14 |
| Context window | 1M | 1Msame |
| Max output | 384K | 128K |
| Input price | $0.22 off-peak · $0.44 peak | $1.40 |
| Output price | $0.66 off-peak · $1.32 peak | $4.40 |
| Parameters | not published | Same base model as GLM-5.2 (744B total · 40B active) |
| License | MIT | GLM-5.3 License — a permissive, MIT-style grant to use, modify, distribute and fine-tune the weights, with one condition: a licensee running a Model-as-a-Service business whose aggregate revenue exceeds US$10 billion over any consecutive 12 months must pass a Z.ai security review before any commercial use |
| Weights | Open weights | Open weightssame |
| Modalities | Text, Vision | Text |
Not published by either maker: knowledge cutoff.
Benchmarks both models report
| Benchmark | DeepSeek-V4-Flash-Vision-Exp | GLM-5.3 |
|---|---|---|
| Cybergym | 75.3% | 84.5% |
| Agents' Last Exam | 27.3% | 28.5% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick DeepSeek-V4-Flash-Vision-Exp if…
- Cost matters: input tokens cost 6.4× less ($0.2 vs $1.4 per 1M).
- You need Vision input, which GLM-5.3 lacks.
- Your use case is: multimodal agent loops that must read screenshots, dashboards or UI state to decide the next action.
Pick GLM-5.3 if…
- You care about Cybergym, Agents' Last Exam (it scores higher on 2 shared benchmarks).
- Your use case is: long-horizon coding agents that must stay productive across hundreds of files and interdependent systems.
FAQ
Which is better, DeepSeek-V4-Flash-Vision-Exp or GLM-5.3?
GLM-5.3 scores higher on 2 of the 2 benchmarks both models report; DeepSeek-V4-Flash-Vision-Exp is cheaper on input tokens ($0.2 vs $1.4 per 1M, 6.4×). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is DeepSeek-V4-Flash-Vision-Exp?
DeepSeek-V4-Flash-Vision-Exp: $0.22 off-peak · $0.44 peak input, $0.66 off-peak · $1.32 peak output. GLM-5.3: $1.40 input, $4.40 output (list API prices as published by each maker).
What are the context windows of DeepSeek-V4-Flash-Vision-Exp and GLM-5.3?
DeepSeek-V4-Flash-Vision-Exp offers 1M with up to 384K output; GLM-5.3 offers 1M with up to 128K output.
Is DeepSeek-V4-Flash-Vision-Exp newer than GLM-5.3?
DeepSeek-V4-Flash-Vision-Exp was released 2026-08-21; GLM-5.3 was released 2026-08-14.
Go deeper
- DeepSeek-V4-Flash-Vision-Exp: full specs, pricing and benchmarks
- GLM-5.3: full specs, pricing and benchmarks
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