How do I access Mercury 2.5 from inside Iran?

Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.

Is Mercury 2.5 compatible with OpenAI code?

Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.

Inception: Mercury 2.5: AI model

Mercury 2.5 is a very fast diffusion language model with tunable reasoning from Inception with a 260K-token context window. Reachable from inside Iran through Hormouz.

Context window:: 260,000 tokens
Input:: $0.04/1M tokens
Output:: $0.15/1M tokens
Discount:: −80%
Type:: text

Tools
Streaming
Long context

Thinking levels: high · medium · low · none

Mercury 2.5 is a diffusion language model: instead of writing one token after another, it drafts and refines many tokens in parallel, reaching over a thousand tokens per second on standard GPUs. It is a clear step up from Mercury 2 and lands near the quality of other cost-optimised models, with adjustable reasoning, parallel tool calls and schema-aligned JSON. It is built for pipelines where each step's latency adds up.

It accepts text input and returns text, and supports tool calling, structured JSON output and streaming. Reasoning can be switched on when a problem needs more thought and left off when speed matters. Mercury 2.5 is commonly used for search agents, voice assistants, coding sub-agents and any latency-critical pipeline. Hormouz serves it behind an OpenAI-compatible API: point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs without changes.

Pricing is usage-based: $0.04 per million input tokens and $0.15 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "inception/mercury-2.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

Vendor	Inception Labs
Type	Text
Context window	260,000 tokens
Pricing	Previous price: $0.2 / $0.75 per MDiscounted price: $0.04 / $0.15 per M−80%
API	Chat Completions
Capabilities	Streaming · Tools

Benchmarks

12.3

Intelligence Index

Better than 19% of models we compared

Reasoning

HLE

Humanity's Last Exam

11.8%

AA-LCR

Long-context reasoning

71.7%

CritPt

Research-level physics reasoning

AA Omniscience

Broad factual knowledge accuracy

22.7%

Non-Hallucination

Rate of avoiding fabricated answers

19.7%

Coding

SciCode

Python for scientific computing

38.5%

Agentic

GDPval

Economically valuable tasks

Source: Artificial Analysis

Code example

cURL

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "inception/mercury-2.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Python

from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="inception/mercury-2.5",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "inception/mercury-2.5",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Inception: Mercury 2.5 API, paid in rial

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One Hormouz key reaches Inception: Mercury 2.5 and 600+ other models, and you pay only for what you use.
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FAQ

How much does Mercury 2.5 cost?: Pricing is usage-based: $0.04 per million input tokens and $0.15 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use.
How do I access Mercury 2.5 from inside Iran?: Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Is Mercury 2.5 compatible with OpenAI code?: Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
What context window and capabilities does Mercury 2.5 have?: It has a 260K-token context window, accepts text input, and supports tool calling, structured JSON output and streaming. Reasoning can be switched on when a problem needs more thought and left off when speed matters.
What is Mercury 2.5 good for?: Typical uses are search agents, voice assistants, coding sub-agents and any latency-critical pipeline.

Updated 2026-10-13