AI model comparison
GLM 5.3 FlashX vs Hy4 preview
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Z.ai
GLM 5.3 FlashX
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
Tencent
Hy4 preview
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total.
- Input / 1M
- $0.75
- Output / 1M
- $2.25
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 5.3 FlashX
1.9x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
GLM 5.3 FlashX
Released September 18, 2026
Pricing
GLM 5.3 FlashX vs Hy4 preview API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.37 | $0.75 |
| Output tokensPer 1M tokens | $1.25 | $2.25 |
| Cached input (read)Per 1M tokens | $0.09 | $0.04 |
| 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 | 131K tokens | 64K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | High, Low, None |
| Default reasoning effort | Max | High |
| Release date | September 18, 2026 | August 28, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Not supported | 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.
- Hy4 preview vs DeepSeek V4.1 Flash
- Hy4 preview vs GLM 5.3 Flash
- Hy4 preview vs MiMo-V2.6-Flash
- Hy4 preview vs GPT-6 Luna
- Hy4 preview vs DeepSeek V4 Flash 0731
- Hy4 preview vs Claude Opus 5.5
- Hy4 preview vs GLM 5.3
- Hy4 preview vs DeepSeek V4 Flash 0423
- Hy4 preview vs Step 5 Preview
- Hy4 preview vs Gemini 3.8 Flash
- Hy4 preview vs Hy3
- Hy4 preview vs GPT-5.6 Luna
- Hy4 preview vs GPT-6.1 Sol
- Hy4 preview vs Claude Sonnet 5.5
- Hy4 preview vs DeepSeek V4 Pro 0813
- Hy4 preview vs GPT-6 Astra
- Hy4 preview vs Claude Opus 5
- Hy4 preview vs Gemini 3 Flash Preview
- Hy4 preview vs Qwen3.8 27B
- Hy4 preview vs Claude Fable 5.1
- Hy4 preview vs GPT-5.6 Luna Pro
Our take
GLM 5.3 FlashX is 1.9x 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 GLM 5.3 FlashX or Hy4 preview 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 preview costs $0.75 per 1M input tokens and $2.25 per 1M output tokens.
Which has a bigger context window, GLM 5.3 FlashX or Hy4 preview?
GLM 5.3 FlashX supports up to 1.05M tokens of context, compared with 1.05M for Hy4 preview.
Can I use GLM 5.3 FlashX and Hy4 preview at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 FlashX and Hy4 preview answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.3 FlashX and Hy4 preview at the same time. Compare the answers side by side and keep the best one.