morph
Morph: Morph V3 Fast
morph/morph-v3-fast
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Morph V3 Fast (morph/morph-v3-fast) is a text-in, text-out model listed in the OpenRouter catalog as Morph's fastest apply model for code edits, vendor-reported at about 10,500 tokens per second with 96% accuracy for rapid code transformations. It exposes a 262,144-token context window and supports parameters such as temperature, max_tokens, structured outputs, and logprobs. Prompts must follow a specific instruction/code/update tag format. These figures are catalog-reported rather than independently measured, and no standalone model card was available in this source pack.[1]
Strengths
- Purpose-built for applying code edits, with vendor-reported throughput of roughly 10,500 tokens per second for rapid transformations.[1]
- Large 262,144-token context window, useful for applying edits across substantial code inputs.[1]
- Supports structured outputs, response_format, stop sequences, and logprobs, which can aid programmatic edit pipelines.[1]
Limitations
- Requires prompts in a rigid tagged format (instruction, code, update blocks), so integration needs format handling.[1]
- Evidence is catalog-only: the stated speed and 96% accuracy are provider claims, not independently benchmarked results, and no separate model card was in this pack.[1]
- Text-only input and output; knowledge cutoff, licensing, and hardware details are not documented in the supplied evidence, so workload validation is needed.[1]
Where to use it
- Editorial suggestion: high-speed application of prepared code edits (apply-model style diffs) in IDE or agentic coding pipelines, given its stated specialization.[1]
- Editorial suggestion: batch code transformations where the required instruction/code/update prompt format can be generated automatically.[1]
Sources
- [1] OpenRouter catalog · Morph: Morph V3 FastSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update>...
Specifications
- Model ID
- morph/morph-v3-fast
- 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 $0.800 / out $1.2
- 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 | $0.800 | $1.2 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.