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  1. Models
  2. Text
  3. Google

Gemini 3 Flash Thinking

Google's Gemini 3 Flash preview model with thinking mode enabled for enhanced reasoning and chain-of-thought capabilities. Audio input costs $1.00 per million audio tokens.

  • Reasoning
  • Vision
  • Audio Input
  • Video Input

Added Dec 17, 2025

Pricing

Auto routing · per 1M tokens
Input
$0.50
Output
$3.00
Cache read
$0.05
Compare provider prices

Specifications

Context window
1M
Max output
65.5K

Benchmarks

Sourced from Vectara.

Hallucination Rate

13.5%

Hallucination Rate: 13.5
Better than 18% of models compared

Factual Consistency

86.5%

Factual Consistency: 86.5
Better than 18% of models compared

Answer Rate

99.8%

Answer Rate: 99.8
Better than 64% of models compared

Avg Summary Length

Average generated summary length

90.2

Last updated 2026-10-22 · Matched as google/gemini-3-flash-preview

Vectara Leaderboard

Leaderboard results

These leaderboards tested Gemini 3 Flash, another version of this model.

BenchmarkScoreRank on NanoGPT
Epoch AI Benchmarking Hub

Epoch AI data, CC BY 4.0 · Updated Nov 13, 2026

Epoch Capabilities Index

152.3

#54 of 115

FrontierMath v2 (Tiers 1–3)

51.2%

#54 of 83

SWE-bench Verified

75.4%

#11 of 28

GPQA Diamond

89.4%

#47 of 119

SimpleQA Verified

66.8%

#13 of 82

FrontierMath v2 (Tier 4)

17.1%

#51 of 67

OTIS Mock AIME 2024–2025

95.6%

#39 of 121

Chess Puzzles

40.0%

#38 of 82

Mystery Game Puzzles

26.0%

#38 of 77

Sierra τ-bench

tau2-bench data, MIT · Updated Aug 4, 2026

τ²-bench Overall

83.5%

#4 of 6

EQ-Bench

EQ-Bench data, MIT · Updated Nov 13, 2026

Longform Writing

55.7

#64 of 97

UGI Leaderboard

UGI Leaderboard data, Apache-2.0 · Updated Oct 16, 2026

UGI Score

49.5

#44 of 149

UGI Willingness

1.8

#129 of 149

UGI Writing

67.7

#17 of 149

Filtered and ranked to models on NanoGPT.

Providers

Provider information for this model’s automatic routing. These routes cannot be selected individually.

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto
Recommended
$0.50$3.00$0.05N/AN/A
Google AI Studio
Google AI Studio
US
$0.50$3.00$0.05N/AN/A
Google Vertex
Google Vertex
US
$0.50$3.00$0.05N/AN/A
Privacy:No training on prompts

Related text models

Compare Gemini 3 Flash Thinking with similar models from the same provider or model family.

Gemini 3.8 Flash

google/gemini-3.8-flash

Google's fast multimodal model for agentic workloads, including coding, tool use, image understanding, PDF and document extraction, audio, and video. Its capabilities, limits, reasoning behavior, and pricing currently mirror Gemini 3.7 Flash.

Gemini 3.7 Flash

google/gemini-3.7-flash

Google's frontier-performance Flash model for multimodal and agentic workloads, including coding, tool use, image understanding, PDF and document extraction, audio, and video. Google reports 65.3% on DeepSWE v1.1, up from 49.0% for Gemini 3.6 Flash, and 34% on GDP.pdf, up from 14%.

Gemini 3.5 Flash Lite

google/gemini-3.5-flash-lite

Google's cost-efficient Gemini 3.5 Flash Lite model for high-volume multimodal reasoning, tool use, and structured-output workloads.

Gemini 3.6 Flash

google/gemini-3.6-flash

Google's GA Flash model delivers near-Pro coding and agentic capability at Flash-tier speed and cost, with improved token efficiency over Gemini 3.5 Flash. It is optimized for multi-step orchestration, full-stack code refactoring, general reasoning, and multimodal workflows.

Gemini 3.5 Flash

google/gemini-3.5-flash

Google's speed-focused Gemini Flash model for frontier multimodal intelligence across text, images, audio, video, PDFs, and code. Built for agentic coding, reliable tool use, structured outputs, and long-context workflows. Audio input costs $3.00 per million audio tokens.

Gemini 3.5 Flash Thinking

google/gemini-3.5-flash-thinking

Gemini 3.5 Flash with higher thinking enabled for harder reasoning, agentic coding, tool use, multimodal analysis, and long-context workflows. Audio input costs $3.00 per million audio tokens.