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SUPERSEDED BY MERCURY 2.5DIFFUSION LLM260K CONTEXTPREVIEW, NOT GAOPENROUTER ONLY

Mercury 2.5 Preview API Pricing

Mercury 2.5 Preview was the first public version of Inception's Mercury 2.5, a diffusion LLM that generates tokens in parallel rather than one after another. Inception listed it at $0.20/M input, $0.02/M cached input and $0.75/M output but served it only through OpenRouter, never from its own platform. On September 8, 2026 it was replaced by the generally available Mercury 2.5, on Inception's own API at the same list card and with an 80% launch discount on top. This page is kept as the record of the preview.

Input - per 1M tokens
$0.20/M
-20% on input vs Mercury 2
Output - per 1M tokens
$0.75/M
Same as Mercury 2 unchanged
Cached input - per 1M tokens
$0.02/M
10% of fresh input -90%
Effective - agentic blend
$0.108/M
92/8 split - 82% cache
§ 01 / TERMINAL

Run the numbers.

Calculator pre-loaded with the preview's published rates, kept for the record. The generally available Mercury 2.5 has the same list card and is currently 80% off.

$ /mo
Workload split
Prompt cache hit rate
Tokens you can process
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Words equivalent (English)
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Effective rate
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Open full calculator (all models · share URL · CSV) →
§ 02 / SCENARIOS

Real-world presets.

§ 03 / TOKENIZER

Paste text. See tokens. See cost.

What's a token →
Estimate · inception-tokenizer-estimate · ≈3.85 chars/token Auto-counts as you type

This is a chars-per-token approximation, not a real tokenizer. Actual tokens vary by language, code density, and tool-call overhead — counts are typically ±10–20% off for English prose, more for code or non-Latin scripts. For exact billing, use the vendor's official tokenizer.

Characters 608
Words 97
Tokens (estimated) 158 tokens
Cost as input · uncached $0.00003 USD
Cost as output · uncached $0.00012 USD
Cost as cached input $0.000003 USD
§ 04 / SHELF

Up against the shelf.

All models →
Model Input /M Output /M Effective blended Context Best for
Mercury 2.5 Preview Current $0.20 cache $0.02 $0.75 $0.108 agentic 92/8 260K Reasoning and long-context work at the lowest Mercury rate
Mercury 2.5 $0.20 cache $0.02 $0.75 $0.108 deprecated · same 260K The generally available release of this model
Mercury 2 $0.25 cache $0.025 $0.75 $0.12 deprecated · +11% 128K Production traffic on Inception's own platform
Mercury Edit 2 $0.25 cache $0.025 $0.75 $0.12 +11% 32K Autocomplete and next-edit
Gemini 3.7 Flash $0.75 cache $0.075 $3.75 $0.481 deprecated · +4.4× · promo 1M Google's fast mainstream model
Claude Haiku 4.5 $1.00 cache $0.10 $5.00 $0.682 +6.3× 200K High-volume support and classification

Frequently asked.

Where you can actually call it, why a preview costs less than the GA model, and what a diffusion LLM changes about the bill.

Q · 01 What happened to Mercury 2.5 Preview? +
It was replaced on September 8, 2026 by the generally available Mercury 2.5, which runs on Inception's own API under the id mercury-2.5. The developer pricing table now lists no preview row. Inception has not said whether the preview id still answers on OpenRouter, so new work should use the GA model.
Q · 02 What did Mercury 2.5 Preview cost? +
Inception listed $0.20/M input, $0.02/M cached input and $0.75/M output on its models page, about $0.11/M on our 92/8 agentic blend. The GA Mercury 2.5 kept exactly that list card and added an 80% launch discount, so the model became cheaper to use at the moment it left preview.
Q · 03 What is a diffusion LLM, and does it change the cost model? +
It generates tokens in parallel rather than strictly left to right. It does not change how you are billed - still per input and output token - but it changes what the vendor is selling. Inception quotes over 1,000 tokens per second and markets "frontier LLM quality at 5x greater speed", so the case for this row is latency per task, not dollars per million tokens, where it sits alongside the cheap tiers of the large labs rather than beneath them.
Q · 04 Is there a free allowance? +
Yes, on Inception's own platform: every new account is granted 100 million free tokens. That is an allowance in tokens rather than a dollar credit, which makes it unusually easy to size - but it applies to the platform, and this model is served through OpenRouter.