morph

Morph: Morph V3 Fast (batch)

morph/morph-v3-fast:batch

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

morph/morph-v3-fast:batch is a text-to-text model listed in the OpenRouter catalog as Morph's fastest apply model for code edits, intended for rapid code transformations. The catalog description reports vendor-claimed throughput around 10,500 tokens per second and high apply accuracy; no independent measurements were available in this source pack. It requires a strict prompt format using instruction, code, and update tags, offers a context window of about 82K tokens, and supports max_tokens, stop, and temperature parameters. An independent model card was not available in this source pack.[1]

Strengths

Purpose-built for applying code edits and transformations, per its catalog description.[1]
Vendor-reported high generation speed aimed at latency-sensitive edit application.[1]
Large context window of about 82K tokens, suitable for sizable code inputs.[1]

Limitations

Evidence is catalog-only; no independent model card or measured benchmarks were supplied, so vendor claims need workload validation.[1]
Requires a specific instruction/code/update prompt structure, which adds integration constraints.[1]
Text input and output only; license, knowledge cutoff, and broader capability details are not documented in the source.[1]

Where to use it

May suit automated pipelines that apply generated code edits where speed matters.[1]
Candidate for IDE or tooling integrations that apply diff-like update snippets to source files.[1]
Possible fit for batch code transformation tasks, given the variant's batch naming.[1]

Sources

[1] OpenRouter catalog · Morph: Morph V3 Fast (batch)Sources 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:batch
Canonical ID: morph/morph-v3-fast
Creator: morph
Added to OpenRouter: 07.07.2025
Context length: 81,920
Modality: text->text
Input modalities: text
Output modalities: text
Token pricing: USD per 1M tokens: in $0.400 / out $0.600
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	—
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)
Morph	81,920	$0.400	$0.600	—	—	—

Provider data retrieved: 13.11.2026

No published articles identify this model yet.