Morph: Morph V3 Large is Morph's model. Its measured tokenizer sits with the Qwen group, which is evidence that it builds on the Qwen tokenizer. Tokenizer reuse is normal engineering, open vocabularies travel between labs, and this says nothing against Morph's authorship of the model itself.
| Signal | Result | Reference |
|---|---|---|
| Tokenizer signature | Exact match with 1 other model | tk_c5c0a8ed |
| API surface | No other entry shares this exact contract | api_2d7f9940 |
| Context and output | 262,144 context · 131,072 max output | declared |
| Reasoning contract | None declared | declared |
| Serving providers observed | Morph | measured 3 September 2026 |
Click a row to open the full comparison.
An x marks a row excluded as corrupt (caching or provider interference detected during measurement). Overhead subtracted: 96 prompt 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>...
Supported parameters
logprobsmax_tokensresponse_formatstopstructured_outputstemperaturetop_logprobs
defaults: {"temperature":null,"top_p":null,"frequency_penalty":null}
Cite this page as the evidence record for Morph: Morph V3 Large: the URL is stable, measurements are dated, and revisions append to the history above. Method: tokenizer fingerprinting, v1, 50 strings.
