Skip to content
All systems operational0 AI providers monitored, polled every 2 minutes
Live status

Gemini 3.5 Flash-Lite

Budget

by Google

As of October 26, 2026, Gemini 3.5 Flash-Lite by Google costs $0.30 per 1M input tokens and $2.50 per 1M output tokens, with a 1M-token context window. It ranks 10th of 29 models on the TensorFeed Intelligence Index's older 2024 benchmark set, with a score of 73.3 (as of October 31, 2026).

Gemini 3.5 Flash-Lite shipped alongside Gemini 3.6 Flash on July 21, 2026 as the fastest model in the 3.5 series. Pricing is $0.30 per million input tokens and $2.50 per million output, and Artificial Analysis clocks it at 350 output tokens per second. Google positions it for high-throughput production traffic: agentic search, document processing, and any workload where latency and volume matter more than frontier reasoning. The gains over Gemini 3.1 Flash-Lite are large on Google's own numbers: Terminal-Bench 2.1 at 54 percent against 31, GDM-MRCR v2 long context at 72.2 percent against 60.1, and GDPval-AA v2 at 1140 against 642. More interesting for anyone still on an older Flash tier, Google reports it beating Gemini 3 Flash on SWE-Bench Pro (54.2 percent against 49.6) and OSWorld-Verified (74.0 against 65.1), which makes it a faster and cheaper option than the Flash model it sits under. Thinking levels are configurable, so the same model can run minimal-thinking high-volume batches or engage higher effort for multi-step subagent work, and computer use is a built-in tool. It is rolling out in Google Search as well as the API.

Input Price

$0.30

per 1M tokens

Output Price

$2.50

per 1M tokens

Context Window

1.0M

tokens

Released

2026-07

API access

Capabilities

textvisiontool-usecodereasoning

Key Strengths

  • ✓$0.30 per 1M input, $2.50 per 1M output
  • ✓350 output tokens per second, fastest in the 3.5 series
  • ✓Beats Gemini 3 Flash on SWE-Bench Pro and OSWorld-Verified
  • ✓Configurable thinking levels from minimal upward
  • ✓1M token context window
  • ✓Computer use as a built-in tool

Best For

  • ▸High-volume classification, extraction, and batch processing
  • ▸Agentic search and document pipelines
  • ▸Subagent workers under a larger orchestrator
  • ▸Latency-sensitive customer-facing traffic

Benchmark Scores

BenchmarkScoreDescription
SWE-bench75.0Real-world software engineering tasks from GitHub issues (SWE-bench Verified)
MMLU-Pro85.8General knowledge and reasoning across 57 subjects
GPQA Diamond83.8Graduate-level science questions verified by domain experts

Scores sourced from public benchmark datasets. See full benchmark leaderboard for all models.

Pricing Details

Input tokens

$0.30

per 1M tokens

Output tokens

$2.50

per 1M tokens

Estimated cost per 1K requests

$1.55

~1K input + ~500 output tokens avg

Prices are subject to change. Check the official documentation for current pricing. See the cost calculator for detailed estimates.

Quick answers

How much does Gemini 3.5 Flash-Lite cost?
As of October 26, 2026, Gemini 3.5 Flash-Lite costs $0.30 per 1M input tokens and $2.50 per 1M output tokens on the Google API.
What is the context window of Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite has a 1M-token context window (1,048,576 tokens).
How does Gemini 3.5 Flash-Lite rank on the TensorFeed Intelligence Index?
Gemini 3.5 Flash-Lite ranks 10th of 29 models on the TensorFeed Intelligence Index's older 2024 benchmark set, with a score of 73.3 (as of October 31, 2026). Scores from the 2024 and 2026 benchmark sets are ranked separately and never compared.

Embed the TFII badge

A live badge with this model's TensorFeed Intelligence Index rank and score. It updates with the daily index and links to the ranking.

Related Models

View DocumentationCompare ModelsCost CalculatorFull Pricing Guide