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Gemini 3.5 Flash Thinking

google/gemini-3.5-flash-thinking
Provider logo

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.

Added May 19, 2026

Context Window

1.0M

Max Output

65.5K

Input Price (Auto)

$1.50/1M

Output Price (Auto)

$9.00/1M

Cache Read (Auto)

$0.15/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

33.0

Better than 88% of models compared

Coding Index

70.1

Better than 82% of models compared

Agentic Index

27.3

Better than 68% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

42.1%

Better than 67% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

870 Elo

Better than 45% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1259 Elo

Better than 68% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

19.8%

Better than 76% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

73.3%

Better than 73% of models compared

Reasoning

HLE

Humanity's Last Exam

42.7%

Better than 94% of models compared

IFBench

Instruction-following benchmark

76.3%

Better than 95% of models compared

CritPt

Research-level physics reasoning

13.1%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

6.6%

Better than 65% of models compared

SciCode

Python programming for scientific computing

53.9%

Better than 75% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

51.4%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

62.2%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

92.2%

Better than 94% of models compared

Terminal-Bench Hard (legacy)

Agentic coding and terminal use

40.9%

Better than 87% of models compared

T²-Bench Telecom (legacy)

Conversational AI agents in dual-control scenarios

95.3%

Better than 94% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

73.3%

Better than 73% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

38.0%

Last updated Sep 18, 2026

Artificial Analysis

Providers

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