morph
Morph: Morph V3 Large
morph/morph-v3-large
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Morph V3 Large is a text-to-text model listed in OpenRouter's catalog as Morph's apply model for complex code edits. The catalog description claims high accuracy and very fast generation, but these are vendor-reported figures, not independently measured results; no benchmark data is included. It offers a 262,144-token context window and supports parameters such as structured outputs and response format. It requires prompts in a fixed instruction-plus-code format. Because the only evidence is the catalog entry and no independent model card was available in this source pack, validate it on your own workloads.[1]
Strengths
- OpenRouter's catalog describes it as Morph's high-accuracy apply model purpose-built for complex code edits.[1]
- Lists a large 262,144-token context window, useful for edits spanning sizeable files.[1]
- Supports structured outputs, response format, logprobs, temperature and other generation parameters.[1]
Limitations
- Evidence comes only from the OpenRouter catalog; no independent model card was available in this source pack, and the accuracy and speed figures are vendor-reported rather than measured, so validate on your own workloads.[1]
- Requires a fixed prompt format using instruction and code tags, making it a specialized apply model rather than a general chat model.[1]
- Text input and output only; fields such as knowledge cutoff are not reported and remain unknown.[1]
Where to use it
- Applying precise, complex code edits where teams can adopt the required instruction-plus-code prompt format; worth piloting before relying on it.[1]
- Editor or IDE pipelines that need a dedicated apply step for code transformations.[1]
- Code-edit workflows that could benefit from structured outputs or a specified response format.[1]
Sources
- [1] OpenRouter catalog · Morph: Morph V3 LargeSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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>...
Specifications
- Model ID
- morph/morph-v3-large
- Creator
- morph
- Added to OpenRouter
- 07.07.2025
- Context length
- 262,144
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.900 / out $1.9
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Morphfp8 | 262,144 | $0.900 | $1.9 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.