AI model comparison
GLM 5.2 vs Claude Haiku 4.5
Side by side comparison of GLM 5.2 and Claude Haiku 4.5 on pricing, benchmark scores, context window, and more.
GLM 5.2 is a large-scale reasoning model from Z.ai.
- Input / 1M
- $0.01
- Output / 1M
- $7
- Context
- 1.05M
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
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 5.2
1.3x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
GLM 5.2
1.05M vs 200K tokens
Newer release
GLM 5.2
Released June 16, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Claude Haiku 4.5Not availableCoding index
Claude Haiku 4.543.9Agentic index
Claude Haiku 4.58Pricing
GLM 5.2 vs Claude Haiku 4.5 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Claude Haiku 4.5 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.01 | $1 |
| Output tokensPer 1M tokens | $7 | $5 |
| Cached input (read)Per 1M tokens | $0.01 | $0.10 |
| Cache writePer 1M tokens | Not available | $1.25 |
| Web searchPer request | Not available | $0.01 |
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
Claude Haiku 4.5$4.50Coding task
30K in, 4K out
Claude Haiku 4.5$50$23 cachedLong document summary
150K in, 2K out
Claude Haiku 4.5$160$25 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Claude Haiku 4.5 | |
|---|---|---|
| Context window | 1.05M tokens | 200K tokens |
| Max output | 944K tokens | 64K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High, None | Not available |
| Default reasoning effort | High | Not available |
| Release date | June 16, 2026 | October 15, 2025 |
Features
Supported features
API features available for each model.
| Metric | Claude Haiku 4.5 | |
|---|---|---|
| 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 | 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.
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- Claude Haiku 4.5 vs Claude Opus 5.5
- Claude Haiku 4.5 vs Step 5 Preview
- Claude Haiku 4.5 vs GPT-6.1 Sol
- Claude Haiku 4.5 vs Claude Sonnet 5.5
- Claude Haiku 4.5 vs Gemini 3.8 Flash
- Claude Haiku 4.5 vs Claude Sonnet 5
- Claude Haiku 4.5 vs Grok 4.7
Our take
GLM 5.2 is 1.3x cheaper for a typical chat. GLM 5.2 has the larger context window (1.05M 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 GLM 5.2 or Claude Haiku 4.5 cheaper?
GLM 5.2 is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.2 costs $0.01 per 1M input tokens and $7 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, GLM 5.2 or Claude Haiku 4.5?
GLM 5.2 supports up to 1.05M tokens of context, compared with 200K for Claude Haiku 4.5.
Can I use GLM 5.2 and Claude Haiku 4.5 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.2 and Claude Haiku 4.5 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.2 and Claude Haiku 4.5 at the same time. Compare the answers side by side and keep the best one.