Claude Haiku 4.5 vs GLM-4.7-Flash Comparison

Comparing Claude Haiku 4.5 and GLM-4.7-Flash across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Claude Haiku 4.5 outperforms in 1 benchmarks (SWE-Bench Verified), while GLM-4.7-Flash is better at 2 benchmarks (AIME 2025, GPQA).

GLM-4.7-Flash shows notably better performance in the majority of benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.7-Flash costs less

For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 14.3x more expensive than GLM-4.7-Flash ($0.07/1M tokens).

For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 12.5x more expensive than GLM-4.7-Flash ($0.40/1M tokens).

In conclusion, Claude Haiku 4.5 is more expensive than GLM-4.7-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
Anthropic
Claude Haiku 4.5
Input tokens$1.00
Output tokens$5.00
Best providerAnthropic
Zhipu AI
GLM-4.7-Flash
Input tokens$0.07
Output tokens$0.40
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Claude Haiku 4.5 accepts 200,000 input tokens compared to GLM-4.7-Flash's 128,000 tokens. Claude Haiku 4.5 can generate longer responses up to 64,000 tokens, while GLM-4.7-Flash is limited to 16,384 tokens.

Anthropic
Claude Haiku 4.5
Input200,000 tokens
Output64,000 tokens
Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Haiku 4.5 supports multimodal inputs, whereas GLM-4.7-Flash does not.

Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Haiku 4.5

Text
Images
Audio
Video

GLM-4.7-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 4.5 is licensed under a proprietary license, while GLM-4.7-Flash uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Claude Haiku 4.5

Proprietary

Closed source

GLM-4.7-Flash

MIT

Open weights

Release Timeline

When each model was launched

Claude Haiku 4.5 was released on 2025-10-15, while GLM-4.7-Flash was released on 2026-01-19.

GLM-4.7-Flash is 3 months newer than Claude Haiku 4.5.

Claude Haiku 4.5

Oct 15, 2025

5 months ago

GLM-4.7-Flash

Jan 19, 2026

1 months ago

3mo newer

Knowledge Cutoff

When training data ends

Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while GLM-4.7-Flash's cutoff date is not specified.

We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without GLM-4.7-Flash's cutoff date.

Claude Haiku 4.5

Feb 2025

GLM-4.7-Flash

Provider Availability

Claude Haiku 4.5 is available from Anthropic. GLM-4.7-Flash is available from ZAI. The availability of providers can affect quality of the model and reliability.

Claude Haiku 4.5

anthropic logo
Anthropic
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M

GLM-4.7-Flash

z logo
Unknown Organization
Input Price:Input: $0.07/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (200,000 tokens)
Supports multimodal inputs
Higher SWE-Bench Verified score (73.3% vs 59.2%)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2025 score (91.6% vs 80.7%)
Higher GPQA score (75.2% vs 73.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Haiku 4.5
Zhipu AI
GLM-4.7-Flash