AI model comparison
Hy4 vs GLM 5.3 FlashX
Side by side comparison of Hy4 and GLM 5.3 FlashX on pricing, benchmark scores, context window, and more.
The official release of Hy4 delivers comprehensive and substantial improvements over Hy4 Preview, with particularly strong gains in agentic capabilities and performance across a wide range of long-horizon, real-world productivity
- Input / 1M
- $0.42
- Output / 1M
- $1.25
- Context
- 1.05M
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s.
- Input / 1M
- $0.37
- Output / 1M
- $1.25
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 5.3 FlashX
1.1x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
Hy4
Released November 4, 2026
Pricing
Hy4 vs GLM 5.3 FlashX API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.42 | $0.37 |
| Output tokensPer 1M tokens | $1.25 | $1.25 |
| Cached input (read)Per 1M tokens | $0.02 | $0.08 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 66K tokens | 131K tokens |
| Input types | Image, Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | High, Low, None | Max, High, Low |
| Default reasoning effort | High | Max |
| Release date | November 4, 2026 | September 18, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Not supported | Not supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Our take
GLM 5.3 FlashX is 1.1x cheaper for a typical chat. The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Hy4 or GLM 5.3 FlashX cheaper?
GLM 5.3 FlashX is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.3 FlashX costs $0.37 per 1M input tokens and $1.25 per 1M output tokens, while Hy4 costs $0.42 per 1M input tokens and $1.25 per 1M output tokens.
Which has a bigger context window, Hy4 or GLM 5.3 FlashX?
Hy4 supports up to 1.05M tokens of context, compared with 1.05M for GLM 5.3 FlashX.
Can I use Hy4 and GLM 5.3 FlashX at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Hy4 and GLM 5.3 FlashX answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Hy4 and GLM 5.3 FlashX at the same time. Compare the answers side by side and keep the best one.