---
title: MiniMax M2.5 FP4 API | Text Generation | ModelsLab
description: Build with MiniMax M2.5 FP4 API by MiniMaxAI. Text generation, chat, code, and reasoning. Pay-per-use. Free tier.
url: https://modelslab.com/models/MiniMaxAI/MiniMaxAI-MiniMax-M2.5/api.md
canonical: https://modelslab.com/models/MiniMaxAI/MiniMaxAI-MiniMax-M2.5/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-15T02:01:02.436534Z
---

MiniMax M2.5 FP4
---

 [LLMs.txt](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M2.5/llms.txt) [.md](https://modelslab.com/models/MiniMaxAI/MiniMaxAI-MiniMax-M2.5.md)

MiniMaxAI-MiniMax-M2.5 MiniMaxAI Closed Source Model $0.750000 / call

MiniMax M2.5 FP4
---

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

### MiniMax M2.5 FP4

MiniMaxAI MiniMaxAI-MiniMax-M2.5

Copy model ID

PricingInput $0.30 / 1M tokens

Output $1.20 / 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)

[N3](https://modelslab.com/models/together_ai/nim-meta-llama-3.1-70b-instruct)[Together AI](https://modelslab.com/models/together_ai)

 [nim/meta/llama-3.1-70b-instruct

Closed Source Model](https://modelslab.com/models/together_ai/nim-meta-llama-3.1-70b-instruct)

[AA](https://modelslab.com/models/open_router/aion-labs-aion-rp-llama-3.1-8b)[Open Router](https://modelslab.com/models/open_router)

 [AionLabs: Aion-RP 1.0 (8B)

Closed Source Model](https://modelslab.com/models/open_router/aion-labs-aion-rp-llama-3.1-8b)

[M(](https://modelslab.com/models/together_ai/mistralai-Mistral-7B-Instruct-v0.3)[Together AI](https://modelslab.com/models/together_ai)

 [Mistral (7B) Instruct v0.3

Closed Source Model](https://modelslab.com/models/together_ai/mistralai-Mistral-7B-Instruct-v0.3)

[NN](https://modelslab.com/models/open_router/nvidia-nemotron-3-super-120b-a12b)[Open Router](https://modelslab.com/models/open_router)

 [NVIDIA: Nemotron 3 Super

Closed Source Model](https://modelslab.com/models/open_router/nvidia-nemotron-3-super-120b-a12b)

[GG](https://modelslab.com/models/open_router/google-gemma-3-12b-it)[Open Router](https://modelslab.com/models/open_router)

 [Google: Gemma 3 12B

Closed Source Model](https://modelslab.com/models/open_router/google-gemma-3-12b-it)

[NN](https://modelslab.com/models/together_ai/nvidia-NVIDIA-Nemotron-3-Nano-30B-A3B-BF16)[Together AI](https://modelslab.com/models/together_ai)

 [Nvidia Nemotron 3 Nano 30B A3b Bf16

Closed Source Model](https://modelslab.com/models/together_ai/nvidia-NVIDIA-Nemotron-3-Nano-30B-A3B-BF16)

[RR](https://modelslab.com/models/open_router/relace-relace-search)[Open Router](https://modelslab.com/models/open_router)

 [Relace: Relace Search

Closed Source Model](https://modelslab.com/models/open_router/relace-relace-search)

[AN](https://modelslab.com/models/open_router/amazon-nova-lite-v1)[Open Router](https://modelslab.com/models/open_router)

 [Amazon: Nova Lite 1.0

Closed Source Model](https://modelslab.com/models/open_router/amazon-nova-lite-v1)

[L3](https://modelslab.com/models/together_ai/meta-llama-Llama-3.1-405B)[Together AI](https://modelslab.com/models/together_ai)

 [Llama 3.1 405B

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Llama-3.1-405B)

[MM](https://modelslab.com/models/open_router/mistralai-ministral-14b-2512)[Open Router](https://modelslab.com/models/open_router)

 [Mistral: Ministral 3 14B 2512

Closed Source Model](https://modelslab.com/models/open_router/mistralai-ministral-14b-2512)

[Q2](https://modelslab.com/models/qwen/Qwen-Qwen2.5-Coder-32B-Instruct)[ModelsLab](https://modelslab.com/models/qwen)

 [Qwen 2.5 Coder 32B Instruct

Closed Source Model](https://modelslab.com/models/qwen/Qwen-Qwen2.5-Coder-32B-Instruct)

[DR](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Llama-70B)[Together AI](https://modelslab.com/models/together_ai)

 [DeepSeek R1 Distill Llama 70B

Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Llama-70B)

[ZG](https://modelslab.com/models/open_router/z-ai-glm-4.5-air-free)[Open Router](https://modelslab.com/models/open_router)

 [Z.ai: GLM 4.5 Air (free)

Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-4.5-air-free)

[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)

[GG](https://modelslab.com/models/open_router/google-gemma-3-12b-it-free)[Open Router](https://modelslab.com/models/open_router)

 [Google: Gemma 3 12B (free)

Closed Source Model](https://modelslab.com/models/open_router/google-gemma-3-12b-it-free)

[AN](https://modelslab.com/models/open_router/amazon-nova-micro-v1)[Open Router](https://modelslab.com/models/open_router)

 [Amazon: Nova Micro 1.0

Closed Source Model](https://modelslab.com/models/open_router/amazon-nova-micro-v1)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b-instruct-2507)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 30B A3B Instruct 2507

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b-instruct-2507)

[N3](https://modelslab.com/models/together_ai/nim-meta-llama-3.3-70b-instruct)[Together AI](https://modelslab.com/models/together_ai)

 [nim/meta/llama-3.3-70b-instruct

Closed Source Model](https://modelslab.com/models/together_ai/nim-meta-llama-3.3-70b-instruct)

About MiniMax M2.5 FP4
---

MiniMax M2.5 FP4 is a text generation AI model by MiniMaxAI available on ModelsLab. Access MiniMax M2.5 FP4 through our API with pay-per-use pricing and no minimum commitments.

### Technical Specifications

Model IDMiniMaxAI-MiniMax-M2.5CategoryLLM ModelsTaskText GenerationPrice$0.750000 per million tokensAddedApril 4, 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 MiniMax M2.5 FP4 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": "MiniMaxAI-MiniMax-M2.5",
        "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.com/models/MiniMaxAI/MiniMaxAI-MiniMax-M2.5/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

MiniMax M2.5 FP4 API costs $0.750000 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 MiniMaxAI](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

MiniMax M2.5 FP4 FAQ
---

### What is MiniMax M2.5 FP4?

MiniMax M2.5 FP4 is a text generation AI model by MiniMaxAI available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments.

### How do I use the MiniMax M2.5 FP4 API?

You can integrate MiniMax M2.5 FP4 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "MiniMaxAI-MiniMax-M2.5" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does MiniMax M2.5 FP4 cost?

MiniMax M2.5 FP4 costs $0.750000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the MiniMax M2.5 FP4 model ID?

The model ID for MiniMax M2.5 FP4 is "MiniMaxAI-MiniMax-M2.5". Use this ID in your API requests to specify this model.

### Does MiniMax M2.5 FP4 have a free tier?

Yes, ModelsLab offers a free tier that lets you try MiniMax M2.5 FP4 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*