# Morph

> Small specialist models that apply coding-agent edits at 10,500+ tokens per second.

Canonical: https://www.subconscious.dev/providers/morph · By The Subconscious Team · Updated September 30, 2026

- Founded: 2023
- Example models: morph-v3-fast, morph-v3-large
- Website: https://www.morphllm.com

## Overview

Morph builds small, very fast specialist models that sit beside a big coding model inside an agent. Its flagship is Fast Apply. The frontier model writes only the changed lines with // ... existing code ... markers, and Morph merges them into the full file at 10,500+ tokens per second with up to 98% accuracy. It is the same idea behind Cursor's instant apply, offered as an OpenAI-compatible API.

The speed comes from a 7B model trained only on code merging, served on custom CUDA kernels with speculative decoding tuned for editing. Morph says this cuts token usage about 40% against full-file rewrites and avoids the brittleness of search-and-replace tool calls, which break on whitespace and ambiguous matches. The lineup has grown past apply: WarpGrep runs agentic repository search, Compact compresses context, Reflex handles classification, and Morph offers fine-tuning. It also serves general chat and messages endpoints.

## Upsides

- Order-of-magnitude speedup on the file-editing step of coding agents.
- Cuts frontier-model output tokens, which is the most expensive line on the bill.

## Core use cases

- IDEs and coding agents applying model edits to large files.
- CI pipelines and sandboxes like E2B, Modal or Daytona that edit code at volume.

## Downsides

- A narrow tool that complements a main model rather than replacing a general inference provider.
- A 2 to 4% merge error rate still needs validation, such as tests or linting, before edits ship.

## At a glance

| Attribute | Value |
|---|---|
| Model access | Specialist models |
| Flagship models | morph-v3-fast, morph-v3-large |
| Speed | 10,500+ tok/s Fast Apply |
| Price | ~40% fewer tokens than full rewrites |
| Customization | Fine-tuning offered |
| Deployment | OpenAI-compatible API |
| Long context | - |

## FAQ

### What is Morph?

Morph builds small, very fast specialist models that sit beside a big coding model inside an agent. Its flagship is Fast Apply. The frontier model writes only the changed lines with // ... existing code ... markers, and Morph merges them into the full file at 10,500+ tokens per second with up to 98% accuracy. It is the same idea behind Cursor's instant apply, offered as an OpenAI-compatible API.

### What is Morph best for?

IDEs and coding agents applying model edits to large files; CI pipelines and sandboxes like E2B, Modal or Daytona that edit code at volume.

### How much does Morph cost?

Morph pricing at a glance: ~40% fewer tokens than full rewrites. Rates change often, so check Morph's pricing page before committing.

### What are the downsides of Morph?

A narrow tool that complements a main model rather than replacing a general inference provider; A 2 to 4% merge error rate still needs validation, such as tests or linting, before edits ship.

### What are the best alternatives to Morph?

Common alternatives include Subconscious, OpenAI, Anthropic, Google Vertex AI, Amazon Bedrock. Each has a head-to-head comparison with Morph on this site.

## Comparisons

- [Subconscious vs Morph](https://www.subconscious.dev/compare/subconscious-vs-morph.md)
- [OpenAI vs Morph](https://www.subconscious.dev/compare/openai-vs-morph.md)
- [Anthropic vs Morph](https://www.subconscious.dev/compare/anthropic-vs-morph.md)
- [Google Vertex AI vs Morph](https://www.subconscious.dev/compare/google-vertex-vs-morph.md)
- [Amazon Bedrock vs Morph](https://www.subconscious.dev/compare/aws-bedrock-vs-morph.md)
- [Together AI vs Morph](https://www.subconscious.dev/compare/together-ai-vs-morph.md)
- [Fireworks AI vs Morph](https://www.subconscious.dev/compare/fireworks-vs-morph.md)
- [Baseten vs Morph](https://www.subconscious.dev/compare/baseten-vs-morph.md)
- [Groq vs Morph](https://www.subconscious.dev/compare/groq-vs-morph.md)
- [Cerebras vs Morph](https://www.subconscious.dev/compare/cerebras-vs-morph.md)
- [DeepInfra vs Morph](https://www.subconscious.dev/compare/deepinfra-vs-morph.md)
- [Modal vs Morph](https://www.subconscious.dev/compare/modal-vs-morph.md)
- [xAI vs Morph](https://www.subconscious.dev/compare/xai-vs-morph.md)
- [DeepSeek vs Morph](https://www.subconscious.dev/compare/deepseek-vs-morph.md)
- [Moonshot AI vs Morph](https://www.subconscious.dev/compare/moonshot-ai-vs-morph.md)
- [Z.ai vs Morph](https://www.subconscious.dev/compare/z-ai-vs-morph.md)
- [Alibaba Cloud vs Morph](https://www.subconscious.dev/compare/alibaba-cloud-vs-morph.md)
- [Meta vs Morph](https://www.subconscious.dev/compare/meta-vs-morph.md)
- [SambaNova vs Morph](https://www.subconscious.dev/compare/sambanova-vs-morph.md)
- [Nebius vs Morph](https://www.subconscious.dev/compare/nebius-vs-morph.md)
- [fal vs Morph](https://www.subconscious.dev/compare/fal-vs-morph.md)
- [Novita AI vs Morph](https://www.subconscious.dev/compare/novita-ai-vs-morph.md)
- [Parasail vs Morph](https://www.subconscious.dev/compare/parasail-vs-morph.md)
- [Inference.net vs Morph](https://www.subconscious.dev/compare/inference-net-vs-morph.md)
- [GMI Cloud vs Morph](https://www.subconscious.dev/compare/gmi-cloud-vs-morph.md)
- [Sail Research vs Morph](https://www.subconscious.dev/compare/sail-research-vs-morph.md)
- [Morph vs Relace](https://www.subconscious.dev/compare/morph-vs-relace.md)
- [Morph vs TypeSafe AI](https://www.subconscious.dev/compare/morph-vs-typesafe-ai.md)
- [Morph vs StepFun](https://www.subconscious.dev/compare/morph-vs-stepfun.md)
- [Morph vs Runware](https://www.subconscious.dev/compare/morph-vs-runware.md)
- [Morph vs StreamLake](https://www.subconscious.dev/compare/morph-vs-streamlake.md)
- [Morph vs Wafer](https://www.subconscious.dev/compare/morph-vs-wafer.md)
- [Morph vs RunInfra](https://www.subconscious.dev/compare/morph-vs-runinfra.md)
- [Morph vs Particle.AI](https://www.subconscious.dev/compare/morph-vs-particle-ai.md)

## Sources

- [Morph Apply model docs](https://docs.morphllm.com/models/apply)
- [Morph Fast Apply SDK](https://docs.morphllm.com/sdk/components/fast-apply)
- [Morph Apply API](https://docs.morphllm.com/api-reference/endpoint/apply)

Pricing and model lineups change often; figures are a snapshot.