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Model details

Morph v3 Fast

Morph v3 Fast is a specialized code-editing model built for high-throughput transformations rather than general-purpose text generation. Unlike broader language models, it takes a structured approach: you provide the original source file, an edit snippet containing existing code markers, and an optional instruction, and the model returns the merged file with your intended changes applied. This design allows each edit to consume only 700 to 1,400 tokens on average, compared to the 3,500 to 4,500 tokens a full-file rewrite would require from a general frontier model. The model achieves approximately 96% accuracy on code transformations, reliably handling routine edits like adding parameters, swapping function bodies, inserting lines, and removing code. For more complex cases involving logic redistribution across scopes or edits within duplicated structures, Morph recommends stepping up to the heavier model variant or using their auto-router.

The model leverages outputs from frontier models to apply precise code edits at scale. Zero Data Retention is enabled, meaning user code and prompts are not stored or used for training purposes. Recent activity metrics show around 235 million tokens processed over 30 days, indicating active production use. The specific three-part prompt format (instruction, initial code, and edit snippet) reflects a distillation of larger model capabilities into a leaner, faster pipeline optimized for code editing workflows. This specialization makes v3 Fast well-suited for automated development pipelines, IDE integrations, and scenarios where rapid, accurate code modifications matter more than broader reasoning capabilities.

Morphmorph-v3-fastmorph

Quick Info

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Provider
Morph
Model key
morph-v3-fast
Release date
Aug 15, 2024
Last updated
Aug 15, 2024
Input modalities
Output modalities
Capabilities
Base catalog fields only

Cost

Input token cost
$0.80
Output token cost
$1.20

Limits

Output tokens
16,000 tokens
Context window
16,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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