Mercury Coder

About Mercury Coder

Mercury Coder is the first diffusion large language model (dLLM). Applying a breakthrough discrete diffusion approach, the model runs 5-10x faster than even speed optimized models like Claude 3.5 Haiku and GPT-4o Mini while matching their performance. Mercury Coder's speed means that developers can stay in the flow while coding, enjoying rapid chat-based iteration and responsive code completion suggestions. On Copilot Arena, Mercury Coder ranks 1st in speed and ties for 2nd in quality. Read more in the [blog post here](https://www.inceptionlabs.ai/blog/introducing-mercury).

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Other Model Lineup

Compare all models from Other to find the best fit

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

MythoMax 13B

Gryphe

Input: $0.40

Output: $0.60

Context: 8k

GPT-3.5 Turbo (batch)

OpenAI

Input: $0.25

Output: $0.75

Context: 16k

Qwen2.5 VL 72B Instruct

Alibaba Qwen

Input: $0.25

Output: $0.75

Context: 128k

GPT-4.1 Mini (batch)

OpenAI

Input: $0.20

Output: $0.80

Context: 1.0M

💡 Cheaper Alternatives

Same Brand (Other)

Cross Brand

🚀 Quick Start

Get started with Mercury Coder API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="inception/mercury-coder-small-beta",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Continue Your Decision