Claude Haiku 4.5 vs GLM-5.3-Flash
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Claude Haiku 4.5 | GLM-5.3-Flash |
|---|---|---|
| Provider | Anthropic | Zhipu AI |
| Input Price (1M) | $1.00 | $0.07 |
| Output Price (1M) | $5.00 | $0.25 |
| Context Window | 200,000 | 1,000,000 |
Verdict
Claude Haiku 4.5 costs $1.00 per 1M input tokens and $5.00 per 1M output tokens. GLM-5.3-Flash costs $0.07 per 1M input tokens and $0.25 per 1M output tokens. GLM-5.3-Flash is 93% cheaper on input tokens than Claude Haiku 4.5. For output tokens, GLM-5.3-Flash is the more affordable option at $0.25/1M vs $5.00.
On context window, GLM-5.3-Flash supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Claude Haiku 4.5
- ✓ You are already integrated with Anthropic
When to choose GLM-5.3-Flash
- ✓ You need the lowest input token cost ($ 0.07/1M)
- ✓ Your workload is output-heavy — GLM-5.3-Flash generates text cheaper
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with Zhipu AI
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is Claude Haiku 4.5 cheaper than GLM-5.3-Flash? ▼
GLM-5.3-Flash is cheaper on input tokens at $0.07/1M vs $1.00/1M for Claude Haiku 4.5 — a 93% saving.
What is the context window of Claude Haiku 4.5 vs GLM-5.3-Flash? ▼
Claude Haiku 4.5 has a 200,000-token context window. GLM-5.3-Flash has a 1,000,000-token context window. GLM-5.3-Flash supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Claude Haiku 4.5 or GLM-5.3-Flash? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GLM-5.3-Flash is the cheaper option. For maximum context length, GLM-5.3-Flash supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.