Gemini 2.5 Flash Lite (Reasoning)

Lightweight reasoning version of Gemini 2.5 Flash, optimized for fast reasoning tasks. Features adjustable reasoning dial (0-24,576 tokens) allowing flexible balance between speed and reasoning depth. Maintains ultra-fast inference while providing cost-effective reasoning capabilities, suitable for real-time applications requiring occasional deep thinking with quick responses.

Intelligence(Medium)

Speed(Fast)

Input Supported Modalities

Yes

Is Reasoning Model

1,000,000

Context Window

65,536

Maximum Output Tokens

2025-01-01

Knowledge Cutoff

Go Compare

Pricing

￥0.72 /M tokens

Input

￥2.88 /M tokens

Output

￥1.26 /M tokens

Blended Price

Quick Simple Comparison

Input

Output

Gemini 2.0 Flash Thinking Experimental (Dec '24)

Gemini 1.5 Pro (Sep '24)

￥2.5

Gemini 2.0 Pro Experimental (Feb '25)

Basic Parameters

Gemini 2.5 Flash-Lite (Reasoning)Technical Parameters

Parameter Count

Not Announced

Context Length

1.0M tokens

Training Data Cutoff

2025-01-01

Open Source Category

Proprietary

Multimodal Support

Text, Image

Throughput

Release Date

2025-06-17

Response Speed

671.6,547 tokens/s

Benchmark Scores

Below is the performance of Gemini 2.5 Flash-Lite (Reasoning) in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.

Intelligence Index

Large Language Model Intelligence Level

54.87

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

39.29

Indicator of AI model performance on coding tasks

Math Index

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

83.6

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

MMLU Pro

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

75.9

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

GPQA

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

62.5

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

HLE

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

6.4

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

LiveCodeBench

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

59.3

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

SciCode

The model's capability in code generation for scientific computing or specific scientific domains

19.3

The model's capability in code generation for scientific computing or specific scientific domains

HumanEval

Score achieved by the AI model on the specific HumanEval benchmark test set

97.1

Score achieved by the AI model on the specific HumanEval benchmark test set

Math 500 Score

Score on the first 500 larger, more well-known mathematical benchmark tests

96.9

Score on the first 500 larger, more well-known mathematical benchmark tests

AIME Score

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

70.3

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

Output tokens/million

Output tokens/million

Output tokens/million

Output tokens/million

Output tokens/million

131k

Context Length

Gemini 2.0 Flash Lite (Preview)

Output tokens/million

Output tokens/million

33k

Context Length

Qwen2.5 Coder Instruct 32B

Output tokens/million

131k

Context Length

Empowering the Future, Your AI Solution Knowledge Base

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