AI model comparison
GLM 5.3 vs Hy3
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
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.
- Input / 1M
- $0.04
- Output / 1M
- $7
- Context
- 1.05M
Tencent
Hy3
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use.
- Input / 1M
- $0.08
- Output / 1M
- $0.33
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Hy3
10.8x cheaper for a typical chat
Higher intelligence score
GLM 5.3
44.8 vs 25.3 on Artificial Analysis
Larger context window
GLM 5.3
1.05M vs 262K tokens
Newer release
GLM 5.3
Released August 18, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
GLM 5.3 vs Hy3 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.04 | $0.08 |
| Output tokensPer 1M tokens | $7 | $0.33 |
| Cached input (read)Per 1M tokens | $0.04 | $0.02 |
| 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 | 262K tokens |
| Max output | 944K tokens | 128K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | High, Low, None |
| Default reasoning effort | Max | High |
| Release date | August 18, 2026 | July 6, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | 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.
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- GLM 5.3 vs Gemini 3.7 Flash
- GLM 5.3 vs Muse Spark 1.2
- GLM 5.3 vs Grok 4.5
- Hy3 vs DeepSeek V4.1 Flash
- Hy3 vs GLM 5.3 Flash
- Hy3 vs MiMo-V2.6-Flash
- Hy3 vs Hy4 preview
- Hy3 vs GPT-6 Luna
- Hy3 vs DeepSeek V4 Flash 0731
- Hy3 vs Claude Opus 5.5
- Hy3 vs DeepSeek V4 Flash 0423
- Hy3 vs Step 5 Preview
- Hy3 vs Gemini 3.8 Flash
- Hy3 vs Muse Spark 1.3 Contributor
- Hy3 vs MiniMax M3
- Hy3 vs Solar Mini 4
- Hy3 vs MiMo-V2.5
- Hy3 vs DeepSeek V4 Pro 0423
- Hy3 vs Solar Pro 4
- Hy3 vs GPT-6 Luna Pro
- Hy3 vs Qwen3.8 Flash
- Hy3 vs Qwen3.7 Flash
- Hy3 vs Gemma 4 26B A4B
- Hy3 vs DeepSeek V3.2
- Hy3 vs MiMo-V2.5-Pro
- Hy3 vs Ling 3.0 Flash
- Hy3 vs Qwen3.7 Plus
- Hy3 vs MiniMax M2.7
- Hy3 vs Ling 3.0 Flash VL
- Hy3 vs Inkling Small
- Hy3 vs MiniMax M2.5
- Hy3 vs Ling 3.0 Flash Fin
- Hy3 vs Step 3.5 Flash
Our take
Hy3 is 10.8x cheaper for a typical chat. GLM 5.3 scores higher on the Artificial Analysis Intelligence Index (44.8 vs 25.3). GLM 5.3 has the larger context window (1.05M vs 262K tokens). 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 or Hy3 cheaper?
Hy3 is cheaper for a typical chat (2K input tokens and 500 output tokens). Hy3 costs $0.08 per 1M input tokens and $0.33 per 1M output tokens, while GLM 5.3 costs $0.04 per 1M input tokens and $7 per 1M output tokens.
Which has a bigger context window, GLM 5.3 or Hy3?
GLM 5.3 supports up to 1.05M tokens of context, compared with 262K for Hy3.
Is GLM 5.3 smarter than Hy3?
On the Artificial Analysis Intelligence Index, GLM 5.3 scores 44.8 and Hy3 scores 25.3, putting GLM 5.3 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 5.3 and Hy3 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 and Hy3 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.3 and Hy3 at the same time. Compare the answers side by side and keep the best one.