--- title: Morph: Morph V3 Large API | Text Generation | ModelsLab description: High-accuracy LLM for complex code edits with 262K token context, 131K max output, ~4,500 tokens/sec at 98% precision, $0.90/M input & $1.90/M output.[1][2][5] url: https://modelslab.com/models/morph/morph-morph-v3-large.md canonical: https://modelslab.com/models/morph/morph-morph-v3-large.md type: product component: Playground/LLM/Index generated_at: 2026-04-15T00:14:42.514592Z --- Morph: Morph V3 Large --- [LLMs.txt](https://modelslab.com/models/open_router/morph-morph-v3-large/llms.txt) [.md](https://modelslab.com/models/morph/morph-morph-v3-large.md) morph-morph-v3-large morph Closed Source Model $1.400000 / call Morph: Morph V3 Large --- 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 Create a marketing email for a SaaS product Compare REST vs GraphQL APIs Send ### Morph: Morph V3 Large morph morph-morph-v3-large Copy model ID PricingInput $0.90 / 1M tokens Output $1.90 / 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 Related Models --- Discover similar models you might be interested in [View all LLM Models](https://modelslab.com/models?feature=llmaster) [QQ](https://modelslab.com/models/together_ai/Qwen-QwQ-32B)[Together AI](https://modelslab.com/models/together_ai) [Qwen QwQ-32B Closed Source Model](https://modelslab.com/models/together_ai/Qwen-QwQ-32B) [ML](https://modelslab.com/models/together_ai/meta-llama-Llama-3.3-70B-Instruct-Turbo)[Together AI](https://modelslab.com/models/together_ai) [Meta Llama 3.3 70B Instruct Turbo Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Llama-3.3-70B-Instruct-Turbo) [ZG](https://modelslab.com/models/open_router/z-ai-glm-4.5-air)[Open Router](https://modelslab.com/models/open_router) [Z.ai: GLM 4.5 Air Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-4.5-air) [ML](https://modelslab.com/models/together_ai/meta-llama-Llama-3.2-1B-Instruct)[Together AI](https://modelslab.com/models/together_ai) [Meta Llama 3.2 1B Instruct Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Llama-3.2-1B-Instruct) [OG](https://modelslab.com/models/open_router/openai-gpt-5)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5 Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5) [RS](https://modelslab.com/models/open_router/undi95-remm-slerp-l2-13b)[Open Router](https://modelslab.com/models/open_router) [ReMM SLERP 13B Closed Source Model](https://modelslab.com/models/open_router/undi95-remm-slerp-l2-13b) [OG](https://modelslab.com/models/open_router/openai-gpt-4-turbo)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4 Turbo Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4-turbo) [![Gemini 2.0 Flash](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/f05a6bc4-dd20-49cc-bc2f-8a1c9b25e930.png)](https://modelslab.com/models/google/gemini-2.0-flash-001)[Google](https://modelslab.com/models/google) [Gemini 2.0 Flash Closed Source Model](https://modelslab.com/models/google/gemini-2.0-flash-001) [OG](https://modelslab.com/models/open_router/openai-gpt-5.1-codex)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.1-Codex Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.1-codex) [DV](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3-0324)[Together AI](https://modelslab.com/models/together_ai) [Deepseek V3 0324 Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3-0324) [OO](https://modelslab.com/models/open_router/openai-o4-mini-deep-research)[Open Router](https://modelslab.com/models/open_router) [OpenAI: o4 Mini Deep Research Closed Source Model](https://modelslab.com/models/open_router/openai-o4-mini-deep-research) [OG](https://modelslab.com/models/open_router/openai-gpt-4o)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4o Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o) [GL](https://modelslab.com/models/open_router/google-lyria-3-pro-preview)[Open Router](https://modelslab.com/models/open_router) [Google: Lyria 3 Pro Preview Closed Source Model](https://modelslab.com/models/open_router/google-lyria-3-pro-preview) [AC](https://modelslab.com/models/open_router/anthropic-claude-3.5-haiku)[Open Router](https://modelslab.com/models/open_router) [Anthropic: Claude 3.5 Haiku Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-3.5-haiku) [AC](https://modelslab.com/models/open_router/anthropic-claude-3.7-sonnet-thinking)[Open Router](https://modelslab.com/models/open_router) [Anthropic: Claude 3.7 Sonnet (thinking) Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-3.7-sonnet-thinking) [OG](https://modelslab.com/models/open_router/openai-gpt-4o-mini-2024-07-18)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4o-mini (2024-07-18) Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-mini-2024-07-18) [Q2](https://modelslab.com/models/together_ai/Qwen-Qwen3-235B-A22B-Instruct-2507-tput)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 235B A22B Instruct 2507 FP8 Throughput Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-235B-A22B-Instruct-2507-tput) [M7](https://modelslab.com/models/together_ai/mistralai-Mistral-7B-v0.1)[Together AI](https://modelslab.com/models/together_ai) [Mistral 7B v0.1 Closed Source Model](https://modelslab.com/models/together_ai/mistralai-Mistral-7B-v0.1) About Morph: Morph V3 Large --- 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} {initialcode}... ### Technical Specifications Model IDmorph-morph-v3-largeCategoryLLM ModelsTaskText GenerationPrice$1.400000 per million tokensAddedFebruary 20, 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 Large into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "morph-morph-v3-large", "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}") ``` View the [full API documentation](https://modelslab.com/models/morph/morph-morph-v3-large/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Morph: Morph V3 Large API costs $1.400000 per million tokens. Pay only for what you use with no minimum commitments. [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 Large FAQ --- ### What is Morph: Morph V3 Large? 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} {initial\_code}... ### How do I use the Morph: Morph V3 Large API? You can integrate Morph: Morph V3 Large 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-large" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Morph: Morph V3 Large cost? Morph: Morph V3 Large costs $1.400000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Morph: Morph V3 Large model ID? The model ID for Morph: Morph V3 Large is "morph-morph-v3-large". Use this ID in your API requests to specify this model. ### Does Morph: Morph V3 Large have a free tier? Yes, ModelsLab offers a free tier that lets you try Morph: Morph V3 Large and other AI models. Sign up to get free API credits and start building immediately. --- *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) --- *Generated by ModelsLab - 2026-04-15*