AI model comparison
Claude Haiku 4.5 vs GLM 4.6
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Anthropic
Claude Haiku 4.5
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models.
- Input / 1M
- $1
- Output / 1M
- $5
- Context
- 200K
Z.ai
GLM 4.6
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex
- Input / 1M
- $0.43
- Output / 1M
- $1.75
- Context
- 205K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 4.6
2.6x cheaper for a typical chat
Higher intelligence score
GLM 4.6
18.5 vs 16.9 on Artificial Analysis
Larger context window
GLM 4.6
205K vs 200K tokens
Newer release
Claude Haiku 4.5
Released October 15, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Claude Haiku 4.5 vs GLM 4.6 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $1 | $0.43 |
| Output tokensPer 1M tokens | $5 | $1.75 |
| Cached input (read)Per 1M tokens | $0.10 | $0.08 |
| Cache writePer 1M tokens | $1.25 | Not available |
| Web searchPer request | $0.01 | 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 | 200K tokens | 205K tokens |
| Max output | 64K tokens | 16K tokens |
| Input types | File, Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | October 15, 2025 | September 30, 2025 |
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 | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
GLM 4.6 is 2.6x cheaper for a typical chat. GLM 4.6 scores higher on the Artificial Analysis Intelligence Index (18.5 vs 16.9). GLM 4.6 has the larger context window (205K vs 200K 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 Claude Haiku 4.5 or GLM 4.6 cheaper?
GLM 4.6 is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 4.6 costs $0.43 per 1M input tokens and $1.75 per 1M output tokens, while Claude Haiku 4.5 costs $1 per 1M input tokens and $5 per 1M output tokens.
Which has a bigger context window, Claude Haiku 4.5 or GLM 4.6?
GLM 4.6 supports up to 205K tokens of context, compared with 200K for Claude Haiku 4.5.
Is Claude Haiku 4.5 smarter than GLM 4.6?
On the Artificial Analysis Intelligence Index, Claude Haiku 4.5 scores 16.9 and GLM 4.6 scores 18.5, putting GLM 4.6 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Claude Haiku 4.5 and GLM 4.6 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Claude Haiku 4.5 and GLM 4.6 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Claude Haiku 4.5 and GLM 4.6 at the same time. Compare the answers side by side and keep the best one.