Today's price · per 1M tokens
Input
$0.250
per 1M tokens
Output
$0.750
per 1M tokens
Blended
$0.375
blended $/1M — 3:1 weighted input:output
Cached input
$0.025
10% of input — prompt caching
How this price is scoped: Inception publishes this rate per TOKEN, not per 1M: its own API root (api.inceptionlabs.ai/v1/models) serves prompt 0.00000025 and completion 0.00000075, which is $0.25 / $0.75 per 1M tokens, with cache reads at 0.000000025 ($0.025 per 1M) and cache writes free. Read unauthenticated on 2026-09-01 and again on 2026-09-02, with no change between the two readings. The vendor's own record links the model to its OpenRouter listing (inception/mercury-2), so that cross-reference is Inception's, not ours. Inception's HTML pricing page does not answer automated reads, so the API record is the source cited here.
Price receipt
We read Inception's own model API on and found mercury-2 listed with a price in its own record — that read is where the number above comes from, recorded as a new model. Inception states this rate per token; the per-1M figures above are that rate multiplied by 1,000,000 — no conversion or estimate is involved. We keep the page text we read; its content hash is 998c31a236.
Overview
The first diffusion large language model (dLLM) sold as a commercial API. Mercury 2 generates tokens by iterative denoising rather than left-to-right decoding, which Inception reports as 5-10x faster than speed-optimised autoregressive models at comparable quality. 128K context, 50K max output, tools and structured outputs. $0.25 / $0.75 per 1M tokens.
Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is betterWe hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.
- AA-Omniscience Index: -50.7 (−100–100)
- Ranks #166 of 191 comparably-measured models by percentile score, across 1 independent measurement
- Ranks #110 of 191 comparably-tested models by normalized performance per dollar
Source: Artificial Analysis · updated · See full rankings →
Specifications
- Provider
- Inception
- Context window
- 128K tokens
- Modality
- text
- Parameters
- Proprietary
- Open source
- No — proprietary
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Inception's own page