---
title: Anthropic: Claude Opus 4.1 API | Text Generation | ModelsLab
description: Flagship LLM with 200K token context, multimodal text/image input, 74.5% SWE-bench coding score.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/anthropic/anthropic-claude-opus-4.1/api.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/anthropic/anthropic-claude-opus-4.1/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T09:44:04.628027Z
---

Anthropic: Claude Opus 4.1
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-opus-4.1/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/anthropic/anthropic-claude-opus-4.1.md)

anthropic-claude-opus-4.1 anthropic Closed Source Model $45.000000 / call

Anthropic: Claude Opus 4.1
---

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

### Anthropic: Claude Opus 4.1

anthropic anthropic-claude-opus-4.1

Copy model ID

PricingInput $15.00 / 1M tokens

Output $75.00 / 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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster)

[![Mixtral-8x7B Instruct v0.1](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/67dabe3d-a00a-4cc4-a158-136c8f189137.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/mistralai-Mixtral-8x7B-Instruct-v0.1)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Mixtral-8x7B Instruct v0.1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/mistralai-Mixtral-8x7B-Instruct-v0.1)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-qwen3.5-122b-a10b)[Alibaba](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud)

 [Qwen: Qwen3.5-122B-A10B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-qwen3.5-122b-a10b)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-mini)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-5 Mini

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-mini)

[ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Meta-Llama-3-8B-Instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Meta Llama 3 8B Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Meta-Llama-3-8B-Instruct)

[AA](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/arcee-ai-coder-large)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Arcee AI: Coder Large

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/arcee-ai-coder-large)

[LL](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/liquid-lfm-2.5-1.2b-thinking-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [LiquidAI: LFM2.5-1.2B-Thinking (free)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/liquid-lfm-2.5-1.2b-thinking-free)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder-next)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 Coder Next

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder-next)

[![Gemini 2.5 Flash](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/4fc6b09e-c7ae-4301-aed1-0b180b88157b.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/gemini-2.5-flash)[Google](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google)

 [Gemini 2.5 Flash

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/gemini-2.5-flash)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o-2024-08-06)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-4o (2024-08-06)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o-2024-08-06)

[ZG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/z-ai-glm-4.5v)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Z.ai: GLM 4.5V

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/z-ai-glm-4.5v)

[PS](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/perplexity-sonar-pro-search)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Perplexity: Sonar Pro Search

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/perplexity-sonar-pro-search)

[XG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/x-ai-grok-4.20-multi-agent)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [xAI: Grok 4.20 Multi-Agent

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/x-ai-grok-4.20-multi-agent)

[QC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-Coder-Next-FP8)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen3 Coder Next Fp8

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-Coder-Next-FP8)

[XM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/xiaomi-mimo-v2-pro)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Xiaomi: MiMo-V2-Pro

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/xiaomi-mimo-v2-pro)

[AN](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/amazon-nova-micro-v1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Amazon: Nova Micro 1.0

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/amazon-nova-micro-v1)

[MP](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/microsoft-phi-4-mini-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Microsoft: Phi 4 Mini Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/microsoft-phi-4-mini-instruct)

[DD](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v4-pro)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [DeepSeek: DeepSeek V4 Pro

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v4-pro)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-codex)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-5 Codex

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-codex)

About Anthropic: Claude Opus 4.1
---

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...

### Technical Specifications

Model IDanthropic-claude-opus-4.1CategoryLLM ModelsTaskText GenerationPrice$45.000000 per million tokensAddedAugust 5, 2025

### 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 Anthropic: Claude Opus 4.1 into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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": "anthropic-claude-opus-4.1",
        "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>
```

View the [full API documentation](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/anthropic/anthropic-claude-opus-4.1/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Anthropic: Claude Opus 4.1 API costs $45.000000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

### Use Cases

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

[Learn more about Anthropic: Claude Opus 4.1](https://modelslab-frontend-v2-927501783998.us-east4.run.app/anthropic-claude-opus-41) [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Anthropic](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

Anthropic: Claude Opus 4.1 FAQ
---

### What is Anthropic: Claude Opus 4.1?

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...

### How do I use the Anthropic: Claude Opus 4.1 API?

You can integrate Anthropic: Claude Opus 4.1 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "anthropic-claude-opus-4.1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Anthropic: Claude Opus 4.1 cost?

Anthropic: Claude Opus 4.1 costs $45.000000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the Anthropic: Claude Opus 4.1 model ID?

The model ID for Anthropic: Claude Opus 4.1 is "anthropic-claude-opus-4.1". Use this ID in your API requests to specify this model.

### Does Anthropic: Claude Opus 4.1 have a free tier?

Yes, ModelsLab offers a free tier that lets you try Anthropic: Claude Opus 4.1 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 - 2026-05-13*