How does Gemini 2.5 Pro rank among AI models?
Gemini 2.5 Pro is a superseded version and is not on the current board as of 22 September 2026.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.
Google·google/gemini-2.5-pro
Gemini 2.5 Pro is ModelCap archive rank #86 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.
Gemini 2.5 Pro listed OpenRouter input price is $1.25 per 1M tokens and listed output price is $10.00 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
Gemini 2.5 Pro has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
Gemini 2.5 Pro has 7 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
Gemini 2.5 Pro 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
65.3#86
Measured · 86% support · score interval 59.4–71.2
Evidence as of 21 Sept 2026, 17:21 UTC
Superseded by Gemini 3.1 Pro Preview. It no longer holds a current-board position; its all-versions archive rank is #86.
Input
$1.25
per 1M tokens
Output
$10.00
per 1M tokens
Context
1M
tokens
Providers
7
endpoints
Gateway spend
—
latest · Vercel share
Providers
Uptime measured over the last 30 minutesOther versions (3)
ModelCap Index · All-versions archive
Methodology65.3
Measured · 4 public benchmark observations across 4 boards
All-versions archive
#86
- Public rank basis
- Measured (measured)
- Index support
- 85.7% · strong
- Index interval
- 59.4–71.2
- Rank posterior
- Not available
- Top 5 / Top 10 probability
- Not available / Not available
- Posterior as of
- Snapshot timestamp unavailable
- Evidence as of
- 21 Sept 2026, 17:21 UTC
- Identity binding
- Exact catalogue product · google/google/gemini-2.5-pro · aggregates disclosed benchmark configurations · endpoint configuration not claimed
- Index observations used
- 4
- Qualified Index evidence point
- 65.3
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
- 65.3
- Evidence status
- confirmed · 93% mass
- General preference
- 67.3
- Coding
- 57.1
- Agents & tools
- —
- Reasoning
- 24.2
- Evidence breadth
- 95%
- Evidence coverage
- 86%
Market and catalogue signals · secondary, never the language Index rank
- Usage (OpenRouter popularity)
- 22.3
- Liquidity (providers × uptime)
- 98.7
- Open reach (HF downloads)
- —
- Surface (context / tools / modalities)
- 100.0
- Freshness
- 17.2
- · OpenRouter popularity #89
- · 2 live providers
- · Catalogue: context 1048576, reasoning, tools, modalities Text/Image/File/Audio/Video
- · First seen 2025-06-17
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
- Arena Overall70.6
- Artificial Analysis Intelligence Index · intelligence-index:v4.3:reasoning-unspecified57.5
- Arena Coding57.1
- ARC-AGI-2 Verified · Thinking24.2
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 index49.8
partial · 56% metadata coverage
- Artifact reproducibility
- 0.0
- Access & legal clarity
- 30.3
- Deployability
- 90.0
- Evaluation provenance
- 83.8
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
- 45.3
- OpenRouter weekly popularity
- #89 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
- #77 of 402
- Rating
- 1445.5
- 95% confidence interval
- 1443–1448
- Votes
- 123K
- Source published at
- 13 Sept 2026, 00:00 UTC
- Category
- overall
- Identity match confidence
- 100%
Market Gravity breakdown
- Usage55%
- 22.3
- Liquidity25%
- 98.7
- Open reach15%
- 50.0
- Freshness5%
- 17.2
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Specification
- Context window
- 1M tokens
- Max output
- 66K tokens
- Inputs
- Text, Image, File, Audio, Video
- Outputs
- Text
- Tokenizer
- Gemini
- Cached input tokens
- $0.125 / 1M
- First seen on OpenRouter
- 17 Jun 2025
- Knowledge cutoff
- 2025-01-31
Capabilities
- Supported: Reasoning
- Supported: Tool use
- Supported: Structured output
- Supported: Response format
- Not supported: Moderated
Benchmark leaderboards featuring Gemini 2.5 Pro
All leaderboardsGemini 2.5 Pro: common questions
How much does Gemini 2.5 Pro cost per 1M tokens?
Gemini 2.5 Pro is listed at $1.25 per 1M input tokens and $10.00 per 1M output tokens as of 22 September 2026; the lowest output price among 2 providers is $5.00 on Google AI Studio. 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 $7.50 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 Gemini 2.5 Pro?
Gemini 2.5 Pro has a published context window of 1M tokens (1,048,576) 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 Gemini 2.5 Pro 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 Gemini 2.5 Pro?
2 providers serve Gemini 2.5 Pro through OpenRouter as of 22 September 2026: Google and Google AI Studio. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Which benchmarks has Gemini 2.5 Pro been evaluated on?
Gemini 2.5 Pro has published results on 6 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1465 (#117 of 397), ARC-AGI-2 4.9% (#131 of 214), SWE-bench 53.6% (#34 of 47), AA Intelligence Index 16.1 (#112 of 151) and AA τ²-Bench Telecom 54.1% (#197 of 436) and more. Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
When was Gemini 2.5 Pro released?
Gemini 2.5 Pro first appeared in the catalogue on 17 Jun 2025, with a published knowledge cutoff of 2025-01-31. It has since been superseded by Gemini 3.1 Pro Preview. Rank and price movements since then are recorded on the site's changes feed.