---
title: Morph: Morph V3 Fast (batch) | Text Generation | ModelsLab
description: Build with Morph: Morph V3 Fast (batch) API by Morph. Text generation, chat, code, and reasoning. Plans from $21/month.
url: https://modelslab.com/models/morph/morph-morph-v3-fast-batch.md
canonical: https://modelslab.com/models/morph/morph-morph-v3-fast-batch
type: product
component: Playground/LLM/Index
generated_at: 2026-11-10T13:04:16.621550Z
---

Morph: Morph V3 Fast (batch)
---

 [LLMs.txt](https://modelslab.com/models/morph/morph-morph-v3-fast-batch/llms.txt) [.md](https://modelslab.com/models/morph/morph-morph-v3-fast-batch.md)

Morph: Morph V3 Fast (batch)
---

Choose a prompt below to get started or type your own message

 Explain quantum computing in simple terms

 Write a Python function to sort a list

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text files

Send

### Morph: Morph V3 Fast (batch)

morph morph-morph-v3-fast-batch

Copy model ID

PricingInput $0.40 / 1M tokens

Output $0.60 / 1M tokens

API EndpointsOpenAI Compatible

`https://modelslab.com/api/v7/llm/chat/completions`Endpoint

Anthropic Compatible

`https://modelslab.com/api/v7/llm/v1/messages`Messages

`https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens

`https://modelslab.com/api/v7/llm/v1/models`Models

Use with Claude Code

cURL Example

ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses.

Temperature0.7

Max Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

Looking for something different?
---

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### Better quality

Newer flagship models that generally produce stronger results.

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[OpenAI](https://modelslab.com/models/openai)

 [GPT 5.1](https://modelslab.com/models/openai/gpt5.1)

[OpenAI](https://modelslab.com/models/openai)

 [GPT-5.1-Codex-Max](https://modelslab.com/models/openai/gpt-5.1-codex-max)

### Lower cost per run

Open-source models we host, unlimited on the $149/month plan.

[ModelsLab](https://modelslab.com/models/modelslab) Popular

 [Modelslab: Custom LLM](https://modelslab.com/models/modelslab/uncensored-chat)Open Source Model

[Qwen](https://modelslab.com/models/open_router)

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[Google](https://modelslab.com/models/open_router)

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About Morph: Morph V3 Fast (Batch)
---

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} {initialcode} {editsnippet}...

### Technical Specifications

Model IDmorph-morph-v3-fast-batch

CategoryLLM Models

TaskText Generation

Price$0.5 per million tokens

AddedNovember 8, 2026

### Key Features

- Chat completion and multi-turn conversation API
- Streaming response with token-by-token output
- Function calling and tool use support
- System prompts and role-based messaging
- JSON mode and structured output

### Quick Start

Integrate Morph: Morph V3 Fast (Batch) into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "morph-morph-v3-fast-batch",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ],
        "max_tokens": 1000,
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

### Pricing

Morph: Morph V3 Fast (Batch) API costs $0.5 per million tokens. Plans start at $21/month, and open-source models are unlimited on the $149/month plan. [View pricing plans](https://modelslab.com/pricing)

### Use Cases

- AI chatbots and virtual assistants
- Code generation and developer tools
- Content writing and copywriting automation
- Data analysis, summarization, and extraction

[Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Morph](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

Morph: Morph V3 Fast (Batch) FAQ
---

### What is Morph: Morph V3 Fast (Batch)?

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} {initial_code} {edit_snippet}...

### How do I use the Morph: Morph V3 Fast (Batch) API?

You can integrate Morph: Morph V3 Fast (Batch) into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "morph-morph-v3-fast-batch" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Morph: Morph V3 Fast (Batch) cost?

Morph: Morph V3 Fast (Batch) costs $0.5 per million tokens. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models.

### What is the Morph: Morph V3 Fast (Batch) model ID?

The model ID for Morph: Morph V3 Fast (Batch) is "morph-morph-v3-fast-batch". Use this ID in your API requests to specify this model.

### Do I need a paid plan to use Morph: Morph V3 Fast (Batch)?

Yes. ModelsLab is subscription-based with no free tier — plans start at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generation across open-source models; premium third-party models are billed per call from your wallet.

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-11-10*