Claude 3 Haiku vs GLM-4.5V
Comparing Claude 3 Haiku and GLM-4.5V across benchmarks, pricing, and capabilities.
Anthropic · Zhipu AI · Updated for 2026
Which is better?
Claude 3 Haiku and GLM-4.5V trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Claude 3 Haiku is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3 Haiku also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude 3 Haiku
- cost matters — it's about 1.9x cheaper per token
- you process long inputs — it offers a 200,000 token context window
Choose GLM-4.5V
- you want the most recent training data — it shipped Aug 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
10 reported for Claude 3 Haiku · 0 for GLM-4.5V
Claude 3 Haiku and GLM-4.5Vdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 2.2x cheaper than GLM-4.5V ($0.55/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 1.8x cheaper than GLM-4.5V ($2.19/1M tokens).
In conclusion, GLM-4.5V is more expensive than Claude 3 Haiku.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3 Haiku accepts 200,000 input tokens compared to GLM-4.5V's 131,072 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while GLM-4.5V is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude 3 Haiku and GLM-4.5V support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3 Haiku
GLM-4.5V
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while GLM-4.5V uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude 3 Haiku was released on 2024-03-13, while GLM-4.5V was released on 2025-08-11.
GLM-4.5V is 17 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Aug 11, 2025
1.1 years ago
1.4yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. GLM-4.5V is available from Fireworks, Novita.
Claude 3 Haiku
GLM-4.5V
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and GLM-4.5V side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs GLM-4.5V.