Morph: Morph V3 Large

morph/morph-v3-large

Created Jul 7, 2025262,144 context

$0.90/M input tokens$1.90/M output tokens

Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations.

The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update>

Zero Data Retention is enabled for Morph. Learn more about this model in their documentation

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Morph: Morph V3 Large

morph/morph-v3-large

Created Jul 7, 2025262,144 context

$0.90/M input tokens$1.90/M output tokens

Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations.

The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update>

Zero Data Retention is enabled for Morph. Learn more about this model in their documentation

Recent activity on Morph V3 Large

Total usage per day on OpenRouter

Prompt

22.1M

Completion

19.4M

Reasoning

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.