Gemini · Fast / Budget · 1.0M context window

Gemini 3.5 Flash-Lite pricing for code review

$0.006500 per call at 5,000 input / 2,000 output tokens.

Per call

$0.006500

10K calls/mo

$65

Cache savings

90% off input

Batch savings

50% off all

Calculate your Gemini 3.5 Flash-Lite costs

Adjust token counts, volume, and discount toggles to model your code review spend. Prices verified daily against provider pricing pages.

Configure your usage

5,000
100100K
2,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$65
10,000 calls/month
Cost per call$0.006500
Daily cost$2
Input rate$0.30/MTok
Output rate$2.50/MTok
Analyze your real spend

Quick start

Call Gemini 3.5 Flash-Lite with the Google Generative AI SDK:

import google.generativeai as genai

model = genai.GenerativeModel("gemini-3.5-flash-lite")
response = model.generate_content("Your prompt here")
# Cost: ~$0.006500 per call at standard rates
# Input:  $0.30/MTok
# Output: $2.50/MTok

How Gemini 3.5 Flash-Lite compares on cost

Per-call cost for all models scoring 50+ on code review benchmarks. Hover for details.

Highest-quality affordable option: Claude Sonnet 5 at $0.0300/call (4.6x the cost, 96/100 quality). Gemini 3.5 Flash-Lite is already the cheapest choice for code review.

What drives code review cost

Review is input-heavy in a way generation is not: the diff or file goes in whole, and structured feedback comes back short. That flips the usual optimization: input rate and cache discounts matter more than output rate. Reviewing the same repository repeatedly means the surrounding context is identical call over call, which is exactly the shape prompt caching is designed for.

For Gemini 3.5 Flash-Lite specifically, that means output tokens cost 8.3x more than input, at $2.50 vs $0.30 per MTok. At this use case’s 5,000/2,000 token split, output accounts for 77% of the $0.006500 per-call cost.

Complete Gemini 3.5 Flash-Lite pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.305,000
Output$2.502,000

Prompt caching: 90% off input tokens

Caching drops input cost from $0.30 to $0.03/MTok. For repeated system prompts, that saves $0.001350 per call.

Batch API: 50% off all tokens

Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.006500$65$51.5$13.5
50,000 calls$0.006500$325$257.5$67.5
100,000 calls$0.006500$650$515$135
500,000 calls$0.006500$3,250$2,575$675
1,000,000 calls$0.006500$6,500$5,150$1,350

Gemini 3.5 Flash-Lite quality benchmarks for code review

Consider alternatives for code review

Scores 52/100 (rank #8 of 88). Better options exist at similar price points for code review.

Top-ranked: Claude Sonnet 5 (96/100) at $0.0300/call

Performance across all task types

Gemini 3.5 Flash-Lite scores by task type. Code Review highlighted.

Classification85Q&A78Extraction69Summarization67Creative Writing67Reasoning60Code Generation58Code Review *52
Task typeConfidence scoreRank out of 88
Classification85/100#4
Q&A78/100#6
Extraction69/100#30
Summarization67/100#16
Creative Writing67/100#23
Reasoning60/100#30
Code Generation58/100#23
Code Review(current page)52/100#8

Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for code review

6 models score 80+ on code review benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (362% more, 96/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Gemini
Claude Sonnet 5Claude$2.00$10.0096/100$0.0300362% more
Claude Sonnet 4.6Claude$3.00$15.0095/100$0.0450592% more
GPT 5.6 SolGPT$4.00$20.0092/100$0.0600823% more
Claude Opus 4.8Claude$5.00$25.0094/100$0.07501054% more
GPT 5.5GPT$5.00$30.0090/100$0.08501208% more
Claude Fable 5Claude$10.00$50.0095/100$0.15002208% more

About Gemini 3.5 Flash-Lite

Provider

Gemini

Tier

Fast / Budget

Context

1.0M tokens

Released

Jun 2026

Other models from Gemini

ModelTierInput $/MTokOutput $/MTokContext
Gemini 3.1 ProMid-tier$2.00$12.001.0M
Gemini 3.5 FlashFast / Budget$1.50$9.001.0M
Gemini 3 FlashFast / Budget$0.50$3.001.0M
Gemini 2.5 Computer UseFast / Budget$1.25$10.00128K
Gemini 2.5 FlashFast / Budget$0.30$2.501.0M
Gemini 2.5 Flash-LiteFast / Budget$0.10$0.401.0M
Gemini 2.5 ProMid-tier$1.25$10.001.0M
Gemini 3.1 Flash-LiteFast / Budget$0.25$1.501.0M
Gemini 3.1 Pro Custom ToolsMid-tier$2.00$12.001.0M
Gemini 3.6 FlashFast / Budget$0.75$3.751.0M
Gemini 3.7 FlashFast / Budget$0.75$3.751.0M
Gemini 3.8 FlashFast / Budget$0.75$3.751.0M
Gemini Omni 1.1 FlashFast / Budget$1.50$9.001.0M
Gemini Omni FlashFast / Budget$1.50$9.001.0M
Gemini Robotics ER 2Fast / Budget$1.00$5.00131K

You can compare Gemini 3.5 Flash-Lite head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions

How much does Gemini 3.5 Flash-Lite cost for code review per API call?

A typical code review call using Gemini 3.5 Flash-Lite costs about $0.006500 per call. This estimate uses 5,000 input tokens and 2,000 output tokens at standard rates. Standard rates are $0.30 per million input tokens and $2.50 per million output tokens.

Is Gemini 3.5 Flash-Lite the best model for code review?

Gemini 3.5 Flash-Lite scores 52 out of 100 on code review benchmarks overall. It ranks #8 across all 88 models in our cross-provider registry. The highest-ranked model for this task is Claude Sonnet 5 from Claude. That model scores 96/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

What is the cheapest model for code review with good quality?

The most affordable model for code review above 80/100 quality is Claude Sonnet 5. It comes from Claude at $2.00 per million input tokens. Output costs $10.00 per million tokens with a quality score of 96/100. Claude Sonnet 5 costs more per call than Gemini 3.5 Flash-Lite but scores higher on quality benchmarks for this task type.

How can I reduce my Gemini 3.5 Flash-Lite costs for code review?

Three strategies lower Gemini 3.5 Flash-Lite costs for this task type effectively. Prompt caching gives a 90% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.006500 to about $0.000325 per call.

How does Gemini 3.5 Flash-Lite pricing compare to other Gemini models?

Gemini has 15 other models alongside Gemini 3.5 Flash-Lite today: Gemini 3.1 Pro at $2.00/$12.00 per million tokens (mid-tier), Gemini 3.5 Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini 3 Flash at $0.50/$3.00 per million tokens (fast / budget), Gemini 2.5 Computer Use at $1.25/$10.00 per million tokens (fast / budget), Gemini 2.5 Flash at $0.30/$2.50 per million tokens (fast / budget), Gemini 2.5 Flash-Lite at $0.10/$0.40 per million tokens (fast / budget), Gemini 2.5 Pro at $1.25/$10.00 per million tokens (mid-tier), Gemini 3.1 Flash-Lite at $0.25/$1.50 per million tokens (fast / budget), Gemini 3.1 Pro Custom Tools at $2.00/$12.00 per million tokens (mid-tier), Gemini 3.6 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.7 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.8 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini Omni 1.1 Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini Omni Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini Robotics ER 2 at $1.00/$5.00 per million tokens (fast / budget). The right choice depends on whether your code review workload prioritizes quality, cost, or speed.

What context window does Gemini 3.5 Flash-Lite support?

Gemini 3.5 Flash-Lite supports a context window of 1.0M tokens per API call. This sets the maximum combined length of your input prompt and generated response. For code review, typical calls use 5,000 input and 2,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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