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ModelCap

Mercury 2.5 Preview

Current board #94NewAPI only7d #142 → #94

Inception Labs·inception/mercury-2.5-preview

Mercury 2.5 Preview is ModelCap current-board rank #94 with Index 27.8 (Modeled · succession), from the ModelCap Index as of 3 Sept 2026, 00:20 UTC.

Mercury 2.5 Preview listed OpenRouter input price is $0.04 per 1M tokens and listed output price is $0.15 per 1M tokens, from OpenRouter listed prices as of 3 Sept 2026, 00:20 UTC.

Mercury 2.5 Preview has a published context limit of 260K tokens in the ModelCap catalogue as of 3 Sept 2026, 00:20 UTC.

Mercury 2.5 Preview has 1 published OpenRouter serving endpoint, from OpenRouter as of 3 Sept 2026, 00:20 UTC.

Mercury 2.5 Preview weight access is api only, from ModelCap classification of published repository metadata as of 3 Sept 2026, 00:20 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
27.8#94
Estimated · 33% support · score interval 27.8–43.9
No admitted evaluation publication timestamp yet
Market Gravity
29.9Increased by 0.2
Secondary market signal
Input
$0.04
per 1M tokens
Output
$0.15
per 1M tokens
Context
260K
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Inception$0.04$0.15260K100.0%

Other versions (1)

ModelCap Index · Current board

Methodology
27.8
Modeled · succession · calibrated architecture-and-release-era fallback from static public metadata
Current board
#94
Public rank basis
Modeled · succession (architecture)
Index support
32.9% · limited
Index interval
27.8–43.9
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · inception/inception/mercury-2.5-preview · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
0
Qualified Index evidence point
32.5
Architecture fallback
estimated · 0% coverage · 0 anchors
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
Evidence status
No admitted measured evidence
General preference
Coding
Agents & tools
Reasoning
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
16.0
Liquidity (providers × uptime)
34.5
Open reach (HF downloads)
Surface (context / tools / modalities)
75.2
Freshness
99.2
  • · OpenRouter popularity #124
  • · 1 live provider
  • · Catalogue: context 260000, reasoning, tools
  • · First seen 2026-08-31

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
Estimator abstained

insufficient-artifact-metadata

Feature coverage
86%
Training support
216 models · 131 lineages

insufficient-artifact-metadata. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
30.1
limited · 38% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
0.0

Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
29.9
OpenRouter weekly popularity
#124 of 310

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
16.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
34.5

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
99.2

Time since first public availability, on a six-month half-life.

Specification

Context window
260K tokens
Max output
66K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.0040 / 1M
First seen on OpenRouter
31 Aug 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Compare Mercury 2.5 Preview with

Pick any model

Alternatives to Mercury 2.5 Preview, by the numbers

Ranked neighbours

Models within 3 places of #94 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Inception Labs models

The same publisher's other current models with a public Index position.

Mercury 2.5 Preview: common questions

How does Mercury 2.5 Preview rank among AI models?

Mercury 2.5 Preview holds ModelCap Index position #94 of 225 ranked language models as of 3 September 2026, with an Index score of 27.8 (interval 27.8–43.9); evidence: modeled · succession. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Mercury 2.5 Preview cost per 1M tokens?

Mercury 2.5 Preview is listed at $0.04 per 1M input tokens and $0.15 per 1M output tokens as of 3 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh.

What is the context window of Mercury 2.5 Preview?

Mercury 2.5 Preview has a published context window of 260K tokens (260,000) and a maximum output of 66K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Mercury 2.5 Preview open-weight?

API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.

Which API providers serve Mercury 2.5 Preview?

One provider serves Mercury 2.5 Preview through OpenRouter as of 3 September 2026: Inception. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Mercury 2.5 Preview been evaluated on?

Mercury 2.5 Preview's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 3 September 2026. The evidence panel names each source and its publication date.

How does Mercury 2.5 Preview compare with Qwen SEA LION v4 32B IT?

Mercury 2.5 Preview ranks #94 (Index 27.8) and Qwen SEA LION v4 32B IT ranks #95 (Index 27.7) on the ModelCap Index as of 3 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Mercury 2.5 Preview released?

Mercury 2.5 Preview first appeared in the catalogue on 31 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.