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Model details
Morph V3 Fast
Morph V3 Fast is a specialized language model from Morph designed around a single job: applying code edits. Rather than acting as a general-purpose chat model, it takes an instruction, the original source file, and a small edit snippet, then intelligently merges the change into the complete file while preserving structure, comments, and syntax instead of falling back on line-level diff heuristics. The interaction is driven by a fixed prompt format that wraps the instruction, the existing code, and the proposed update in simple tags, which makes the model plug directly into AI coding agents and editor tools. Its design centers on speed and reliability for those transformations, with Morph reporting roughly 10,500 tokens per second and about 96% accuracy on its edit-apply benchmark, positioning it as the fastest member of the Morph family for in-place code modifications inside larger automated workflows.
The model's strengths come from narrowing its scope to code-edit application rather than open-ended generation, allowing it to be tuned tightly for merge quality and throughput. Alongside the high apply-model accuracy figure, its large context capacity lets it reason over substantial files or multi-file snippets in a single pass, supporting AI coding agents that need to rewrite and refactor code quickly without losing track of the surrounding source. Zero Data Retention is enabled, which matters for teams handling proprietary codebases. Practically, it fits best as the "apply" step inside an agentic coding pipeline, where another model proposes an edit and Morph V3 Fast reliably stitches that edit into the full file at speed, making it a forward-looking fit for real-time editor integrations and rapid automated refactoring.
Quick Info
Powered by- Provider
- OpenRouter
- Model key
- morph/morph-v3-fast
- Release date
- Jul 7, 2025
- Last updated
- Jul 7, 2025
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.80
- Output token cost
- $1.20
Limits
- Output tokens
- 38,000 tokens
- Context window
- 81,920 tokens