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ModelCap

Mercury 2.5

Current board #111NewAPI only7d #87 → #111

Inception Labs·inception/mercury-2.5

Mercury 2.5 is ModelCap current-board rank #111 with Index 37.3 (Modeled · succession), from the ModelCap Index as of 9 Sept 2026, 20:46 UTC.

Mercury 2.5 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 9 Sept 2026, 20:46 UTC.

Mercury 2.5 has a published context limit of 260K tokens in the ModelCap catalogue as of 9 Sept 2026, 20:46 UTC.

Mercury 2.5 has 1 published OpenRouter serving endpoint, from OpenRouter as of 9 Sept 2026, 20:46 UTC.

Mercury 2.5 weight access is api only, from ModelCap classification of published repository metadata as of 9 Sept 2026, 20:46 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
37.3#111
Estimated · 33% support · score interval 23.8–50.8
No admitted evaluation publication timestamp yet
Market Gravity
27.9
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 (2)

ModelCap Index · Current board

Methodology
37.3
Modeled · succession · calibrated architecture-and-release-era fallback from static public metadata
Current board
#111
Public rank basis
Modeled · succession (architecture)
Index support
32.9% · limited
Index interval
23.8–50.8
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 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
0
Qualified Index evidence point
37.3
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
37.3 ± 10.6
Independent share
0%
Shrink toward corpus
+4.7
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
global-corpus-prior over 182 held-out anchors
53.5 ± 22.323%
Family succession · not independent
opens from measured predecessor inception/mercury-2
32.6 ± 12.078%
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)
12.2
Liquidity (providers × uptime)
34.7
Open reach (HF downloads)
Surface (context / tools / modalities)
75.2
Freshness
99.6
  • · OpenRouter popularity #155
  • · 1 live provider
  • · Catalogue: context 260000, reasoning, tools
  • · First seen 2026-09-08

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
186 models · 106 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
27.9
OpenRouter weekly popularity
#155 of 312

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%
12.2

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
34.7

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%
99.6

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
8 Sept 2026

Capabilities

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

Compare Mercury 2.5 with

Pick any model

Alternatives to Mercury 2.5, by the numbers

Ranked neighbours

Models within 3 places of #111 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).

Mercury 2.5: common questions

How does Mercury 2.5 rank among AI models?

Mercury 2.5 holds ModelCap Index position #111 of 160 ranked language models as of 9 September 2026, with an Index score of 37.3 (interval 23.8–50.8); evidence: modeled · succession. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Mercury 2.5 cost per 1M tokens?

Mercury 2.5 is listed at $0.04 per 1M input tokens and $0.15 per 1M output tokens as of 9 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.155 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Mercury 2.5?

Mercury 2.5 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 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?

One provider serves Mercury 2.5 through OpenRouter as of 9 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 been evaluated on?

Mercury 2.5'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 9 September 2026. The evidence panel names each source and its publication date.

How does Mercury 2.5 compare with Gemma SEA LION v4.5 E2B IT?

Mercury 2.5 ranks #111 (Index 37.3) and Gemma SEA LION v4.5 E2B IT ranks #110 (Index 38.1) on the ModelCap Index as of 9 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 released?

Mercury 2.5 first appeared in the catalogue on 8 Sept 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.