Mercury 2
Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving >1,000 tokens/sec on standard GPUs. Mercury 2 is 5x+ faster than leading speed-optimized LLMs like Claude 4.5 Haiku and GPT 5 Mini, at a fraction of the cost. Mercury 2 supports tunable reasoning levels, 128K context, native tool use, and schema-aligned JSON output. Built for coding workflows where latency compounds, real-time voice/search, and agent loops. OpenAI API compatible. Read more in the [blog post](https://www.inceptionlabs.ai/blog/introducing-mercury-2).
inception/mercury-2
- Context
- 128k tokens
- Completion cap
- 50,000
- Tools
- Yes
- JSON
- Yes
- Released
- 2026-03-04
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "inception/mercury-2",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Mercury 2?
- Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving >1,000 tokens/sec on standard GPUs. Mercury 2 is 5x+ faster than leading speed-optimized LLMs like Claude 4.5 Haiku and GPT 5 Mini, at a fraction of the cost. Mercury 2 supports tunable reasoning levels, 128K context, native tool use, and schema-aligned JSON output. Built for coding workflows where latency compounds, real-time voice/search, and agent loops. OpenAI API compatible. Read more in the [blog post](https://www.inceptionlabs.ai/blog/introducing-mercury-2). Mercury 2 runs on the Geek Hub API (OpenAI-compatible). Model id: inception/mercury-2.
- Is Mercury 2 free?
- No. Input is $0.2725 per 1M tokens and output is $0.8175 per 1M tokens on Geek Hub (markup included).
- What is the context length of Mercury 2?
- Mercury 2 has a 128k tokens context window. It supports up to 50,000 completion tokens.
- Does Mercury 2 support tool calling and structured outputs?
- Mercury 2 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Mercury 2 released?
- Mercury 2 was released on 2026-03-04.