Google

Gemini 2.5 Flash Lite — Benchmark Scores, Pricing & Performance Analysis

BUDGETGoogle
Chatbot Arena ELO
1230
Output Speed
240 tok/s
Input Cost
$0.10/1M
Output Cost
$0.40/1M
Context Window
1.0M
Max Output
66K
Knowledge Cutoff
Jan 2025
Accepts
text, image, file, audio, video

Gemini 2.5 Flash Lite by Google demonstrates fast output speed, competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.

Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.

General Benchmarks

MMLU-Pro
63.0%57th of 66

Massive Multitask Language Understanding professional benchmark

HuggingFace Leaderboard
Chatbot Arena ELO
123062nd of 74

Human preference ELO from blind head-to-head votes

LMSYS / HuggingFace

Coding Benchmarks

LiveCodeBench
28.0%57th of 66

Live competitive programming benchmark

livecodebench.github.io
HumanEval+
70.0%61st of 66

Code generation correctness with extended tests

Papers
SWE-bench Verified
22.0%57th of 67

Real-world software engineering task resolution

swebench.com

Math Benchmarks

GSM8K
83.0%59th of 66

Grade school math word problems

Papers
MATH
62.0%58th of 66

Competition mathematics problem solving

Papers

Reasoning Benchmarks

τ²-Bench Airline
47.3%75th of 93

Multi-turn service agent making tool calls under strict policy constraints

OpenRouter (measured)
ARC-AGI
14.0%53rd of 66

Abstraction and Reasoning Corpus for general intelligence

arcprize.org
GPQA Diamond
55.0%107th of 140

Graduate-level science Q&A by domain experts

Papers

Speed Benchmarks

Time to First Token
70 ms1st of 92

Latency before first token arrives

Aggregated
Output Speed
240 tok/s5th of 94

Tokens generated per second

Aggregated

Cost Benchmarks

Output Cost
$0.40143rd of 413

Cost per 1M output tokens

OpenRouter API
Cached Input Cost
$0.018th of 136

Cost per 1M cached input tokens — the price that actually applies to a long agent conversation

OpenRouter API
Input Cost
$0.10114th of 413

Cost per 1M input tokens

OpenRouter API

Context Benchmarks

Context Length
1.0M18th of 451

Maximum context window size

OpenRouter API

Available from 23 providers

The same model costs different amounts depending on who serves it. You can bring your own key for 4 of these — connect it here.

ProviderInput / 1MOutput / 1MCached inContextYour key
Kenari$0$0—1.0M—
Poe$0.07$0.28—1.0M—
Jiekou.AI$0.09$0.36—1.0M—
CrossModel$0.1$0.4$0.011.0M—
DevPass (LLM Gateway)$0.1$0.4$0.011.0M—
Google$0.1$0.4$0.011.0MSupported
Impossibl$0.1$0.4$0.011.0M—
Kilo Gateway$0.1$0.4$0.011.0M—
LLM Gateway$0.1$0.4$0.011.0M—
LLMTR$0.1$0.1—1.0M—
Merge Gateway$0.1$0.4$0.011.0M—
NanoGPT$0.1$0.4$0.011.0M—
NEAR AI Cloud$0.1$0.4$0.011.0M—
Ofox$0.1$0.4$0.011.0M—
OpenRouter$0.1$0.4$0.011.0MSupported
OrcaRouter$0.1$0.4$0.011.0M—
Requesty$0.1$0.4$0.011.0M—
SAP AI Core$0.1$0.4$0.011.0M—
Vercel AI Gateway$0.1$0.4$0.011.0MSupported
Vertex$0.1$0.4$0.011.0MSupported
ZenMux$0.1$0.4$0.031.0M—
AnyAPI———1.0M—
Qiniu———1.0M—

Gemini 2.5 Flash Lite — Benchmark Scores Overview

Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).

Gemini 2.5 Flash Lite — Frequently Asked Questions

How intelligent is Gemini 2.5 Flash Lite?

Gemini 2.5 Flash Lite scores 1230 on the Chatbot Arena ELO rating, making it an entry-level AI model. This score is based on blind head-to-head human preference voting.

How much does Gemini 2.5 Flash Lite cost?

Gemini 2.5 Flash Lite costs $0.10 per 1M input tokens and $0.40 per 1M output tokens. This makes it one of the more affordable models.

How fast is Gemini 2.5 Flash Lite?

Gemini 2.5 Flash Lite generates output at 240 tokens per second, which is very fast compared to other models. The time to first token is 70 ms.

How good is Gemini 2.5 Flash Lite at coding?

Gemini 2.5 Flash Lite achieves 22.0% on SWE-bench Verified, demonstrating basic real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.

How good is Gemini 2.5 Flash Lite at math and reasoning?

Gemini 2.5 Flash Lite scores 62.0% on the MATH benchmark (competition-level mathematics). It also achieves 55.0% on GPQA Diamond, a graduate-level science reasoning benchmark.

What is the context window of Gemini 2.5 Flash Lite?

Gemini 2.5 Flash Lite has a context window of 1.0M tokens. This determines how much text, conversation history, and code the model can process in a single request.

Who created Gemini 2.5 Flash Lite?

Gemini 2.5 Flash Lite was created by Google. It is classified as a budget model in our catalogue.

Is Gemini 2.5 Flash Lite open source?

No, Gemini 2.5 Flash Lite is a proprietary model. It is available through Google's API and compatible providers.