GPT-5 Chat vs Morph V3 Large (Comparative Analysis)
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Comparative Analysis: GPT-5 Chat vs. Morph V3 Large
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Overview
Morph V3 Large was released 1 month before GPT-5 Chat.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 131.1K tokens |
Release Date When this model first became publicly available | August 7, 2025 11 months ago August 7th, 2025 | July 7, 2025 1 year ago July 7th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | September 30, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5 Chat | Morph V3 Large | |
|---|---|---|
Input Types Supported input formats | 📁File🖼️Image📝Text | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Other |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning Mode✓Content Moderation | Function Calling✓Structured OutputReasoning ModeContent Moderation |
Pricing
GPT-5 Chat is roughly 1.4x more expensive compared to Morph V3 Large for input tokens and roughly 5.3x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $1.25 per million tokens | $0.90 per million tokens |
Output Token Cost Cost per million output tokens | $10.00 per million tokens | $1.90 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.13 per million tokens | Not specified |
At a Glance
Quick overview of what makes GPT-5 Chat and Morph V3 Large unique.
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