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ModelCap

Gemini 3.1 Pro Preview

Current board #14Arena #15API only

Google·google/gemini-3.1-pro-preview

Gemini 3.1 Pro Preview is ModelCap current-board rank #14 with Index 79.9 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Gemini 3.1 Pro Preview listed OpenRouter input price is $2.00 per 1M tokens and listed output price is $12.00 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Gemini 3.1 Pro Preview has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Gemini 3.1 Pro Preview has 6 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Gemini 3.1 Pro Preview 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 · Current board
79.9#14
Measured · 86% support · score interval 74.0–85.8
Evidence as of 19 Sept 2026, 22:46 UTC
Market Gravity
46.1
Secondary market signal
Input
$2.00
per 1M tokens
Output
$12.00
per 1M tokens
Context
1M
tokens
Providers
6
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Googleglobal/flexCheapest$1.00$6.001M
Google AI Studioflex$1.00$6.001M100.0%
Googleglobal$2.00$12.001M99.21%
Google AI Studio$2.00$12.001M99.42%
Googleglobal/priority$3.60$21.601M
Google AI Studiopriority$3.60$21.601M

Reasoning efforts

Best supported result can inform ModelCap

Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.

EffortAgent scoreSource rankSampleSource
Default
Gemini 3.1 Pro Preview
-5.81%
CI -6.6-5.0%
#382.9M obs
86K sessions
LMArena Agent
Match 100%

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
Pro
gemini-3-pro
1485
CI 1482–1489
#1641KLMArena
Match 98%

Other versions (3)

ModelCap Index · Current board

Methodology
79.9
Measured · 4 public benchmark observations across 4 boards
Current board
#14
Public rank basis
Measured (measured)
Index support
86.1% · strong
Index interval
74.0–85.8
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
19 Sept 2026, 22:46 UTC
Identity binding
Exact catalogue product · google/google/gemini-3.1-pro-preview · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
4
Qualified Index evidence point
79.9
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
79.9
Evidence status
confirmed · 94% mass
General preference
81.1
Coding
80.9
Agents & tools
32.7
Reasoning
Evidence breadth
97%
Evidence coverage
86%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
31.2
Liquidity (providers × uptime)
77.0
Open reach (HF downloads)
Surface (context / tools / modalities)
100.0
Freshness
44.2
  • · OpenRouter popularity #53
  • · 2 live providers
  • · Catalogue: context 1048576, reasoning, tools, modalities Audio/File/Image/Text/Video
  • · First seen 2026-02-19

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
47.0
partial · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.7
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
46.1
OpenRouter weekly popularity
#53 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
#15 of 402
Rating
1486.8
95% confidence interval
1484–1490
Votes
107K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
31.2

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
77.0

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%
44.2

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

Specification

Context window
1M tokens
Max output
66K tokens
Inputs
Audio, File, Image, Text, Video
Outputs
Text
Tokenizer
Gemini
Cached input tokens
$0.20 / 1M
First seen on OpenRouter
19 Feb 2026

Capabilities

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

Compare Gemini 3.1 Pro Preview with

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Benchmark leaderboards featuring Gemini 3.1 Pro Preview

All leaderboards
Public benchmark boards on which Gemini 3.1 Pro Preview has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)15201515–1525#28 of 397Default13 Sept 2026
LMArena Agent leaderboardLMArena-5.8%-6.6%–-5.0%#38 of 46Default15 Sept 2026
Artificial Analysis Intelligence IndexArtificial Analysis29.7#71 of 151intelligence-index:v4.3:reasoning-unspecified19 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis95.6%#20 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Gemini 3.1 Pro Preview":reasoning=true5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis47.0%#24 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Gemini 3.1 Pro Preview":reasoning=true5 Sept 2026

Alternatives to Gemini 3.1 Pro Preview, by the numbers

Ranked neighbours

Models within 3 places of #14 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 Google models

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

Gemini 3.1 Pro Preview: common questions

How does Gemini 3.1 Pro Preview rank among AI models?

Gemini 3.1 Pro Preview holds ModelCap Index position #14 of 248 ranked language models as of 22 September 2026, with an Index score of 79.9 (interval 74.0–85.8); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Gemini 3.1 Pro Preview cost per 1M tokens?

Gemini 3.1 Pro Preview is listed at $2.00 per 1M input tokens and $12.00 per 1M output tokens as of 22 September 2026; the lowest output price among 2 providers is $6.00 on Google. 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 $10.00 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 3.1 Pro Preview?

Gemini 3.1 Pro Preview 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 3.1 Pro 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 Gemini 3.1 Pro Preview?

2 providers serve Gemini 3.1 Pro Preview 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 3.1 Pro Preview been evaluated on?

Gemini 3.1 Pro Preview has published results on 5 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1520 (#28 of 397), LMArena Agent -5.8% (#38 of 46), AA Intelligence Index 29.7 (#71 of 151), AA τ²-Bench Telecom 95.6% (#20 of 436) and AA Humanity's Last Exam 47.0% (#24 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Gemini 3.1 Pro Preview compare with LongCat 2.0?

Gemini 3.1 Pro Preview ranks #14 (Index 79.9) and LongCat 2.0 ranks #15 (Index 79.8) on the ModelCap Index as of 22 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Gemini 3.1 Pro Preview released?

Gemini 3.1 Pro Preview first appeared in the catalogue on 19 Feb 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.