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  1. Models
  2. Text
  3. 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.

  • Reasoning
  • Vision
  • Audio Input
  • Video Input
  • Native PDF input
  • Tool Calling
  • Structured Output

Added Jul 21, 2026

Pricing

Auto routing · per 1M tokens
Input
$0.75
Output
$3.75
Cache read
$0.075
Compare provider prices

Specifications

Context window
1M
Max output
65.5K
Avg output (7d)
1K tokens
Longer than 72% of models

Benchmarks

Sourced from Artificial Analysis.

Coding Index

69.2

Coding Index: 69.2
Better than 83% of models compared

Agentic Index

29.0

Agentic Index: 29.0
Better than 72% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

53.0%

Better than 67% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

16.4%

Better than 59% of models compared

AA-Briefcase v1.1

Agentic knowledge work (Elo)

956 Elo

Better than 42% of models compared

GDPval-AA v2.1

Economically valuable tasks (Elo)

1295 Elo

Better than 64% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

17.4%

Better than 62% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

80.0%

Better than 85% of models compared

MLCR-AA

Medical long-context reasoning

10.0%

Better than 31% of models compared

Reasoning

HLE

Humanity's Last Exam

40.8%

Better than 87% of models compared

CritPt

Research-level physics reasoning

10.6%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

7.1%

Better than 54% of models compared

SciCode

Python programming for scientific computing

53.4%

Better than 67% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

92.8%

Better than 95% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

80.0%

Better than 85% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

39.8%

Last updated Oct 30, 2026

Artificial Analysis

Providers

Auto routing is available for this model. Explicit provider selection is not available.

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Reliability

Related text models

Compare Gemini 3.6 Flash 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 3.5 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.

Gemini Flash Latest

google/gemini-flash-latest

Compatibility alias that routes to the newest version of Gemini Flash. Currently routes to Gemini 3.8 Flash.