Model profile
Google
New in 2026

Google: Gemini 3.1 Pro Preview

Google: Gemini 3.1 Pro Preview is a mid-range-priced multimodal generalist from Google with heavy runtime profile, large context posture, and the clearest fit around long-context research / agent workflows.

Best for: Long-context research / Agent workflowsHeavy latencyLarge contextMid-range pricing
Intelligence
57.2

Benchmark blend

Coding
55.5

Dev workflow signal

Context
1049K Tokens

Large

Input Price
$2.00

Mid-range tier

Decision snapshot
62

Google: Gemini 3.1 Pro Preview currently reads as a mid-range multimodal option with large context and a heavy runtime profile.

Overall profile
Selective fit
Best for
Long-context research / Agent workflows
Latency tier
Heavy
Price tier
Mid-range
Source coverage
OpenRouterArtificial AnalysisVision signal

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
57.2
57

General reasoning and benchmark headroom.

Situational
Speed
125 tok/s
45

TTFT 20.93s

Situational
Context
1049K Tokens
100

How much prompt and task state can stay in view.

Above average
Price
$2.00
62

$12.00 output / 1M

Competitive

Editorial Profile

Google: Gemini 3.1 Pro Preview in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Selective fitCoding score 56Math score N/AVision enabled

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

Identity

Google multimodal profile

Positioning

Long-context research / Agent workflows with large context and heavy runtime.

Cost posture

Balanced spend profile. Easier to justify in mixed production and exploration workloads.

Strengths
  • Large context headroom supports repo-wide prompts and long research sessions.

  • Vision-capable routing opens up multimodal review and extraction workflows.

Tradeoffs
  • Costs look manageable, but still deserve attention in always-on agents or batch jobs.

  • Latency profile is better for deliberate runs than rapid back-and-forth chat.

Best fit
  • Image-grounded review, multimodal extraction, and UI audit workflows.

  • Long-context summarization, repo analysis, and policy or document review.

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Context
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Input Price
$2.00
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Gemini 3 Flash Preview (Reasoning)

Intelligence
46.4
Context
N/A
Input Price
$0.50
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Gemini 3 Pro Preview (low)

Intelligence
41.3
Context
N/A
Input Price
$2.00

Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
57.2
GPQA
94.1%
HLE
44.7%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
55.5
SciCode
58.9%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
77.1%
TAU2
95.6%
TerminalBench Hard
53.8%
LCR
72.7%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
1049K Tokens
Vision
Enabled
Modalities
audio, file, image, text, video
Tokenizer
Gemini
Max Completion
65536
Moderation
No
Supported Parameters
include_reasoningmax_tokensreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p
Input Modalities
audiofileimagetextvideo
Output Modalities
text
Price architecture
Input
per 1M input tokens
$2.00
Output
per 1M output tokens
$12.00
Blended
AA 3:1 mix
$4.50

This model sits in a balanced spend range. It is easier to justify across both production and exploratory workflows.

OR Image Price
$0.0000
OR Audio Price
$0.0000
OR Cache Read
$0.00
OR Cache Write
$0.00
OR Internal Reasoning
$0.00

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.