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Gemini 3 Flash Preview

by Google DeepMind · Released Dec 2025

Multimodal1M ContextPreview
54.2
avg score
Rank #122
Compare
Better than 61% of all models
Context
1.0M tokens (~524 books)
Input $/1M
$0.50
Output $/1M
$3.00
Type
multimodal
License
Proprietary
Benchmarks
31 tested
Data as of
About

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...

Tested on 31 benchmarks · BenchGecko score 54.2. Top scores: Chatbot Arena Elo — Overall (1472.7%), Chatbot Arena Elo — Coding (1438.9%), OTIS Mock AIME 2024-2025 (92.8%).

Looking for similar performance at lower cost?
Qwen3.5-35B-A3B scores 53.5 (99% as good) at $0.15/1M input · 70% cheaper
Capabilities
coding
52.8
#78 globally
reasoning
57.2
#66 globally
math
40.2
#155 globally
knowledge
57.3
#78 globally
agentic
40.7
#30 globally
general
41.5
#62 globally
speed
46.2
#40 globally
Benchmark Scores
Compare All
Tested on 31 benchmarks · Ranked across 8 categories
Score Distribution (all 312 models)
0255075100
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SWE-Bench verified

Real-world software engineering tasks from GitHub issues. Models must diagnose bugs and write patches that pass test suites. Human-verified subset of SWE-bench.

75.4·
Terminal Bench

Complex terminal-based engineering tasks. Models must use command-line tools, navigate filesystems, and debug systems through shell interaction.

64.3·
WeirdML

Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.

61.6·
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

84.7·
SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

53.3·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

33.6·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

92.8·
FrontierMath-2025-02-28-Private

Original research-level math problems created by professional mathematicians. Problems are unpublished and cannot be memorized.

35.6·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
BenchGecko API
gemini-3-flash-preview
Specifications
  • Typemultimodal
  • Context1.0M tokens (~524 books)
  • ReleasedDec 2025
  • LicenseProprietary
  • Statuspreview
  • Cost / Message~$0.004
Available On
Google DeepMind logoGoogle DeepMind$0.50
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Gemini 3 Flash Preview is a proprietary multimodal AI model by Google DeepMind, released in December 2025. It has an average benchmark score of 54.2. Context window: 1M tokens.

Key facts · as of 2026-10-05

  • Gemini 3 Flash Preview by Google DeepMind. BenchGecko score 54.2, rank 122 of 312 scored models (normalized average of public benchmark scores).
  • List price $0.50 input · $3.00 output per 1M tokens (as of 2026-10-05).
  • Sold by 6 providers (as of 2026-10-05): Google $0.25 in / $1.50 out · Google AI Studio $0.25 in / $1.50 out · Google $0.50 in / $3.00 out · Google AI Studio $0.50 in / $3.00 out · Google $0.90 in / $5.40 out · and 1 more. Every provider

How to cite · data as of 2026-10-05

Gemini 3 Flash Preview · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/gemini-3-flash-preview

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP