Compare AI Models

Select two models to compare their pricing, performance benchmarks, capabilities, and technical specifications side by side.

Model 1

Model 2

Google: Gemini 3.5 Flash

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Input Price

Cost per 1M input tokens

$0.75/M tokens

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Output Price

Cost per 1M output tokens

$4.50/M tokens

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Cache Read Price

Cost per 1M cached tokens

$0.07/M tokens

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Cache Write Price

Cost to write 1M tokens to cache

$0.04/M tokens

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Context Window

Maximum tokens the model can process

1,048,576 tokens

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Max Output Tokens

Maximum tokens in model response

65,536 tokens

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Input Modalities

Supported input types

text, image, video, file, audio

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Output Modalities

Supported output types

text

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Coding Index

Overall coding capability score

70.1%

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SciCode

Scientific computing & algorithms

53.9%

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TerminalBench Hard

CLI & terminal command generation

40.9%

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Long Context Reasoning

Understanding large codebases

73.3%

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IFBench

Instruction following accuracy

76.3%

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Function Calling

Can call external functions/APIs

✓ Supported

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Tool Choice

Control over function selection

✓ Supported

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Structured Outputs

JSON schema validation

✓ Supported

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Reasoning Tokens

Extended thinking for complex problems

✓ Supported

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Content Moderation

Content filtering status

Disabled

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Model ID

google/gemini-3.5-flash

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Tokenizer

Gemini

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Release Date

May 19, 2026

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Created On OpenRouter

May 19, 2026

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