Inception: Mercury 2.5Work with me

Inception: Mercury 2.5

byInception

Mercury 2.5 is a reasoning model from Inception released on Sep 8, 2026. It reads text and writes text, with a 260K token context window and up to 66K tokens per reply.

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It costs $0.04 per million input tokens and $0.15 per million output tokens. Cached input bills at $0.004, 90% less than fresh input.

It supports tool calling, structured JSON output and prompt caching.

5 providers serve it, including Vercel AI Gateway, Kilo Gateway and Venice AI.

Modalities
In / out price
$0.04 / $0.15 per 1M
Context
260K
Max output
66K
Released
Sep 8, 2026
Knowledge cutoff
Nov 2025
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Mercury 2.5 pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$0.04 / 1M tokens
Output$0.15 / 1M tokens
Cached input (read)$0.004 / 1M tokens

Mercury 2.5 providers

5 providers serve it, including Vercel AI Gateway, Kilo Gateway and Venice AI. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.

ProviderInput /MOutput /MCache read /MContextMax output
Inception First party$0.04$0.15$0.004260K66K
Vercel AI Gateway$0.04$0.15$0.004260K66K
Kilo Gateway$0.20$0.75$0.02260K66K
Venice AI$0.25$0.9375$0.025260K66K
AI/ML API$0.2751$1.03$0.0275260K66K

What Mercury 2.5 costs per month

Pick a workload close to yours or type your own volumes.

Mercury 2.5 per month
$2.96
Without caching
$4.58
Per request
$0.0001

Supported request parameters

What you can set when you call Mercury 2.5 through an OpenAI compatible API.

  • Toolstools
  • Structured outputsstructured_outputs
  • Reasoningreasoning
  • Temperaturetemperature

Alternatives to Mercury 2.5

Models that take the same inputs and call tools, closest in price, cheaper ones first.

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    by sarvamFeb 18, 2026$0.02/M input tokens$0.10/M output tokens2 providers

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    by z-aiDec 8, 2025$0.0218/M input tokens$0.2184/M output tokens6 providers

  • Reads text. Tool calling, reasoning.

    by arcee-aiDec 1, 2025$0.045/M input tokens$0.15/M output tokens

  • Reads text. Tool calling, structured output, reasoning. Served by 35 providers.

    by openaiJun 1, 2024128K context$0.07/M input tokens$0.30/M output tokens35 providers

More from Inception

  • Reads text. Tool calling, structured output, reasoning.

    by inceptionSep 1, 2026$0.04/M input tokens$0.15/M output tokens

  • Reads text.

    by inceptionMar 30, 2026$0.25/M input tokens$0.75/M output tokens

  • Reads text. Tool calling, structured output, reasoning. Served by 6 providers.

    by inceptionFeb 20, 2026$0.25/M input tokens$0.75/M output tokens6 providers

  • Reads text. Tool calling.

    by inceptionFeb 26, 2025$0.25/M input tokens$1/M output tokens

All Inception models

Mercury 2.5 questions

How much does the Mercury 2.5 API cost?

$0.04 per million input tokens and $0.15 per million output tokens, with cached input at $0.004. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of Mercury 2.5?

260,000 tokens of input, and it can write up to 65,536 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Which providers serve Mercury 2.5?

5 providers serve it, including Vercel AI Gateway, Kilo Gateway and Venice AI. Prices differ by host, so the Providers table on this page lists each one with its input and output price.

Does Mercury 2.5 support tool calling?

Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.

Is Mercury 2.5 open source?

No. Inception serves it through an API only, so you cannot download the weights or host it yourself.

When was Mercury 2.5 released?

Sep 8, 2026, with training data up to Nov 2025.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.

Building on Mercury 2.5?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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