Morph V3 Large
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](https://docs.morphllm.com/quickstart)
morph/morph-v3-large
- Context
- 262k tokens
- Completion cap
- 131,072
- Tools
- No
- JSON
- Yes
- Released
- 2025-07-07
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "morph/morph-v3-large",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Morph V3 Large?
- 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](https://docs.morphllm.com/quickstart) Morph V3 Large runs on the Geek Hub API (OpenAI-compatible). Model id: morph/morph-v3-large.
- Is Morph V3 Large free?
- No. Input is $0.9811 per 1M tokens and output is $2.0711 per 1M tokens on Geek Hub (markup included).
- What is the context length of Morph V3 Large?
- Morph V3 Large has a 262k tokens context window. It supports up to 131,072 completion tokens.
- Does Morph V3 Large support tool calling and structured outputs?
- Morph V3 Large does not advertise tool calling on this endpoint. It also supports structured outputs via a JSON schema in response_format.
- When was Morph V3 Large released?
- Morph V3 Large was released on 2025-07-07.