> ## Documentation Index
> Fetch the complete documentation index at: https://veniceai-feat-models-redesign.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Mercury 2 API

> Mercury 2 API on Venice: 125K context, $0.31 input and $0.94 output per 1M tokens. Anonymized access without your identity. Pricing, specs and code examples.

export const HubMount = ({view, children, ...props}) => {
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        return res.json();
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<HubMount view="ModelPage" data={{"family":{"slug":"mercury-2","name":"Mercury 2","modality":"text","task":"chat","provider":"inception","description":"Mercury 2 is a diffusion-based reasoning LLM from Inception, delivering over 1,000 tokens per second — 5x faster than leading speed-optimized models — with strong reasoning, tool use, and structured output capabilities.","primary":"mercury-2","variants":["mercury-2"],"created":1771545600,"updated":1771545600,"privacy":["anonymized"]},"models":[{"id":"mercury-2","name":"Mercury 2","type":"text","modality":"text","task":"chat","variant":"standard","provider":"inception","created":1771545600,"description":"Mercury 2 is a diffusion-based reasoning LLM from Inception, delivering over 1,000 tokens per second — 5x faster than leading speed-optimized models — with strong reasoning, tool use, and structured output capabilities.","source":"https://www.inceptionlabs.ai/models","privacy":"anonymized","text":{"context":128000,"maxOutput":50000,"reasoning":{"supported":true,"effort":["none","low","medium","high"],"defaultEffort":"high"},"caps":{"tools":true,"structured":true,"webSearch":true}},"pricing":{"input":0.3125,"output":0.9375,"cacheRead":0.03125,"blended":0.46875},"headline":{"value":0.46875,"unit":"per 1M tokens","basis":"blended"},"endpoints":[{"id":"chat","method":"POST","path":"/chat/completions","name":"Chat Completions","status":"stable","recommended":true},{"id":"responses","method":"POST","path":"/responses","name":"Responses","status":"alpha"}],"family":"mercury-2"}],"related":{"similar":[{"slug":"minimax-m2-5","name":"MiniMax M2.5","provider":"minimax","modality":"text","privacy":["private"],"created":1770854400,"headline":{"value":0.44,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"qwen-3-5-35b-a3b","name":"Qwen 3.5 35B A3B","provider":"alibaba","modality":"text","privacy":["private"],"created":1771977600,"headline":{"value":0.546875,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"qwen3-vl-30b-a3b","name":"Qwen3 VL 30B A3B","provider":"alibaba","modality":"text","privacy":["e2ee"],"created":1773792000,"headline":{"value":0.4125,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"minimax-m3-preview","name":"MiniMax M3 Preview","provider":"minimax","modality":"text","privacy":["private"],"created":1781222400,"headline":{"value":0.525,"unit":"per 1M tokens","basis":"blended"},"variants":1}],"versions":[{"slug":"mercury-2-5","name":"Mercury 2.5","provider":"inception","modality":"text","privacy":["anonymized"],"created":1788825600,"headline":{"value":0.084375,"unit":"per 1M tokens","basis":"blended"},"variants":1}]},"providers":{"inception":{"slug":"inception","name":"Inception","logo":"/images/icons/models/inception.svg"},"minimax":{"slug":"minimax","name":"MiniMax","logo":"/images/icons/models/minimax.svg"},"alibaba":{"slug":"alibaba","name":"Alibaba Qwen","logo":"/images/icons/models/qwen.svg"}},"faq":[{"q":"How much does the Mercury 2 API cost?","a":"$0.31 per 1M input tokens and $0.94 per 1M output tokens, with cached input at $0.031 per 1M. Prices are in USD and can be paid in DIEM at parity."},{"q":"What is the Mercury 2 model ID?","a":"Use `mercury-2` as the `model` parameter."},{"q":"Is the Mercury 2 API private?","a":"Mercury 2 is anonymized: Venice forwards requests to the provider without your identity, but the provider may retain prompt data, so use a private model for sensitive work."},{"q":"What is the context window of Mercury 2?","a":"125K tokens of context, with up to 50K output tokens per response."},{"q":"What does Mercury 2 support?","a":"Mercury 2 supports function calling, structured outputs, reasoning, web search and prompt caching. Reasoning effort is adjustable with `reasoning_effort`: none, low, medium and high (default high)."},{"q":"Which endpoint does the Mercury 2 API use?","a":"Call `POST /chat/completions`. `/responses` (Alpha) is also supported."}]}} />

<div className="vx-static">
  <Accordion title="Plain-text specification">
    # Mercury 2 API

    Mercury 2 is a large language model by Inception, available on the Venice API as `mercury-2`. Requests are anonymized, so the provider never sees your identity.

    Mercury 2 is a diffusion-based reasoning LLM from Inception, delivering over 1,000 tokens per second — 5x faster than leading speed-optimized models — with strong reasoning, tool use, and structured output capabilities.

    ## Mercury 2 API pricing

    | Model ID | Variant | Privacy | Price |
    | - | - | - | - |
    | `mercury-2` | Standard | Anonymized | $0.31 input / $0.94 output per 1M tokens |

    ## Mercury 2 specifications

    | Spec | Value |
    | - | - |
    | Provider | Inception |
    | Released | Feb 20, 2026 |
    | Privacy | Anonymized |
    | Context window | 125K tokens |
    | Max output | 50K tokens |
    | Reasoning effort | none, low, medium, high |

    ## How to use the Mercury 2 API

    Send requests to `POST https://api.venice.ai/api/v1/chat/completions` with `"model": "mercury-2"` and your API key.

    ```bash theme={null}
    curl https://api.venice.ai/api/v1/chat/completions \
      -H "Authorization: Bearer $VENICE_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "mercury-2",
        "messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }],
        "reasoning_effort": "high"
      }'
    ```

    ## Mercury 2 API FAQ

    ### How much does the Mercury 2 API cost?

    $0.31 per 1M input tokens and $0.94 per 1M output tokens, with cached input at \$0.031 per 1M. Prices are in USD and can be paid in DIEM at parity.

    ### What is the Mercury 2 model ID?

    Use `mercury-2` as the `model` parameter.

    ### Is the Mercury 2 API private?

    Mercury 2 is anonymized: Venice forwards requests to the provider without your identity, but the provider may retain prompt data, so use a private model for sensitive work.

    ### What is the context window of Mercury 2?

    125K tokens of context, with up to 50K output tokens per response.

    ### What does Mercury 2 support?

    Mercury 2 supports function calling, structured outputs, reasoning, web search and prompt caching. Reasoning effort is adjustable with `reasoning_effort`: none, low, medium and high (default high).

    ### Which endpoint does the Mercury 2 API use?

    Call `POST /chat/completions`. `/responses` (Alpha) is also supported.

    ## Related models

    * [Mercury 2.5 API](/models/mercury-2-5): $0.05 input / $0.19 output per 1M tokens
    * [MiniMax M2.5 API](/models/minimax-m2-5): $0.27 input / $0.95 output per 1M tokens
    * [Qwen 3.5 35B A3B API](/models/qwen-3-5-35b-a3b): $0.31 input / $1.25 output per 1M tokens
    * [Qwen3 VL 30B A3B API](/models/qwen3-vl-30b-a3b): $0.25 input / $0.90 output per 1M tokens
    * [MiniMax M3 Preview API](/models/minimax-m3-preview): $0.30 input / $1.20 output per 1M tokens
  </Accordion>
</div>


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