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ModelCap

Mercury 2

All-versions archive #228Arena #211API only

Inception Labs·inception/mercury-2

Mercury 2 is ModelCap archive rank #228 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Mercury 2 listed OpenRouter input price is $0.25 per 1M tokens and listed output price is $0.75 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Mercury 2 has a published context limit of 128K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Mercury 2 has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Mercury 2 weight access is api only, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · All-versions archive
37.1#228
Measured · 46% support · score interval 30.8–43.4
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
23.8
Secondary market signal

Superseded by Mercury 2.5. It no longer holds a current-board position; its all-versions archive rank is #228.

Input
$0.25
per 1M tokens
Output
$0.75
per 1M tokens
Context
128K
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Inception$0.25$0.75128K100.0%

Other versions (2)

ModelCap Index · All-versions archive

Methodology
37.1
Measured · 2 public benchmark observations across 2 boards
All-versions archive
#228
Public rank basis
Measured (measured)
Index support
45.8% · moderate
Index interval
30.8–43.4
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
13 Sept 2026, 00:00 UTC
Identity binding
Exact catalogue product · inception/inception/mercury-2 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
2
Qualified Index evidence point
37.1
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
37.1
Evidence status
confirmed · 72% mass
General preference
37.3
Coding
35.8
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
46%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
9.1
Liquidity (providers × uptime)
35.8
Open reach (HF downloads)
Surface (context / tools / modalities)
70.0
Freshness
46.4
  • · OpenRouter popularity #190
  • · 1 live provider
  • · Catalogue: context 128000, reasoning, tools
  • · First seen 2026-03-04

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

BES evidence selected · measured input only

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.

Deployment readiness

Metadata index
39.6
limited · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
47.9

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.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
23.8
OpenRouter weekly popularity
#190 of 322

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

Status
Ranked
Source
LMArena
Official rank
#211 of 402
Rating
1346.3
95% confidence interval
1336–1357
Votes
3K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
9.1

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
35.8

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%
46.4

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

Specification

Context window
128K tokens
Max output
50K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.025 / 1M
First seen on OpenRouter
4 Mar 2026

Capabilities

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

Benchmark leaderboards featuring Mercury 2

All leaderboards
Public benchmark boards on which Mercury 2 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)13931373–1414#204 of 397Default13 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis70.8%#162 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Mercury 2":reasoning=true5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis17.1%#202 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Mercury 2":reasoning=true5 Sept 2026

Mercury 2: common questions

How does Mercury 2 rank among AI models?

Mercury 2 is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does Mercury 2 cost per 1M tokens?

Mercury 2 is listed at $0.25 per 1M input tokens and $0.75 per 1M output tokens as of 22 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 $0.875 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?

Mercury 2 has a published context window of 128K tokens (128,000) and a maximum output of 50K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Mercury 2 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?

One provider serves Mercury 2 through OpenRouter as of 22 September 2026: Inception. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Mercury 2 been evaluated on?

Mercury 2 has published results on 3 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1393 (#204 of 397), AA τ²-Bench Telecom 70.8% (#162 of 436) and AA Humanity's Last Exam 17.1% (#202 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was Mercury 2 released?

Mercury 2 first appeared in the catalogue on 4 Mar 2026. It has since been superseded by Mercury 2.5. Rank and price movements since then are recorded on the site's changes feed.