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ModelCap

Gemini 3.1 Pro Preview

Arena #20No linked weights7d #10 → #10

Google·#10 of 352 on the current board·cheaper than #9 GPT-6 Astra Pro

Gemini 3.1 Pro Preview is a language model from Google. It ranks #10 of 352 on ModelCap's current board, with an Index score of 80.9, measured on 3 public benchmarks. Its score range of 76.2–85.6 spans positions #4–#26. It is listed at $2.00 per million input tokens and $12.00 per million output tokens across 2 providers. It reads up to 1M tokens of context, with no downloadable weights linked in the current source data.

Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology

ModelCap Index · Current board
80.9#10
Measured on 3 public benchmarks · range 76.2–85.6
Evidence as of 4 Nov 2026, 00:00 UTC
Market Gravity
40.1Decreased by 1.3
Secondary market signal
Input
$2.00
per 1M tokens
Output
$12.00
per 1M tokens
Context
1M
tokens
Providers
2
6 endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Googleglobal/flexCheapest$1.00$6.001M—0.00%
Google AI Studioflex$1.00$6.001M—100.0%
Googleglobal$2.00$12.001M—100.0%
Google AI Studio$2.00$12.001M—100.0%
Googleglobal/priority$3.60$21.601M—100.0%
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
-4.44%
CI -5.9–-3.0%
#413.0M obs
88K sessions
LMArena Agent
Match 100%

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
Pro
Gemini 3 Pro
1485
CI 1482–1489
#2142KLMArena
Match 98%

Other versions (3)

ModelCap Index · Current board

Methodology
80.9
Measured on 3 public benchmarks
Current board
#10 of 352
Score range
76.2–85.6
Rank range
#4–#26
Evidence as of
4 Nov 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall, LMArena Agent
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 3 public benchmark observations across 3 boards
Index support
66.1% · strong
Identity binding
Exact catalogue product · google/google/gemini-3.1-pro-preview · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
3
Qualified Index evidence point
80.9
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
80.9
Evidence status
confirmed · 88% mass
General preference
82.6
Coding
78.5
Agents & tools
35.1
Reasoning
—
Evidence breadth
97%
Evidence coverage
66%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
23.9
Liquidity (providers × uptime)
70.2
Open reach (HF downloads)
—
Surface (context / tools / modalities)
100.0
Freshness
37.2
  • · OpenRouter popularity #84
  • · 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
45.5
partial · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
77.1

Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, pinned evaluation dataset versions.

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

Market activity

Venue coverage
Market Gravity
40.1
OpenRouter weekly popularity
#84 of 339

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
#20 of 419
Rating
1486.9
95% confidence interval
1484–1490
Votes
133K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
23.9

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
70.2

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%
37.2

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

Specification

Model ID
google/gemini-3.1-pro-preview
Context window
1M tokens
Declared output cap
66K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

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 text leaderboardArena (LMArena)14871484–1490#20 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)15211517–1526#33 of 414Default28 Oct 2026
LMArena Agent leaderboardLMArena-4.4%-5.9%–-3.0%#41 of 58Default4 Nov 2026

Alternatives to Gemini 3.1 Pro Preview, by the numbers

Ranked neighbours

Models within 3 places of #10 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 #10 of 352 ranked language models as of 6 November 2026, with an Index score of 80.9 (interval 76.2–85.6); 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 6 November 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). The snapshot lists a 65,536 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Gemini 3.1 Pro Preview open-weight?

No linked weights. No downloadable model weights are linked in the current source data. This does not identify every API or chat product that offers the model.

Which API providers serve Gemini 3.1 Pro Preview?

2 providers serve Gemini 3.1 Pro Preview through OpenRouter as of 6 November 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 3 public boards tracked by ModelCap as of 6 November 2026: Arena text 1487 (#20 of 419), Arena coding 1521 (#33 of 414) and LMArena Agent -4.4% (#41 of 58). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does Gemini 3.1 Pro Preview compare with Kimi K3?

Gemini 3.1 Pro Preview ranks #10 (Index 80.9) and Kimi K3 ranks #11 (Index 80.8) on the ModelCap Index as of 6 November 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.