ZMIME
Google · Released May 19, 2026

Gemini 3.5 Flash

Fast Gemini model balancing multimodal reasoning, tool use, and cost.

  • Proprietary
  • Reasoning
  • Tool calling
  • Vision
  • Audio input
  • Video input
Capability
154.5ECI · #33 of 148
Input
$1.50per 1M tokens
Output
$9.00per 1M tokens
Context
1.05M66K max output
Pricing

What it costs

Input
$1.50per million tokens
Output
$9.00per million tokens
Cached input
$0.15per million tokens
Blended (3:1)
$3.38pricier than 77% of priced models

Typical monthly bills

Monthly usageEstimated cost
Side project2M input + 0.5M output tokens$7.50
Team assistant25M input + 5M output tokens$82.50
Production app250M input + 50M output tokens$825.00

Official Google API price, as listed on models.dev.

Capability

Independent benchmarks

154.5Epoch Capabilities Index
#33 of 148 scored models
88Median 146167

The shaded band is Epoch AI’s confidence range (152.5–156.6); the tick marks the median scored model.

  • GPQA DiamondGraduate-level science questions · high setting92.8%
  • FrontierMath Tiers 1–3Research-level mathematics · high setting62.8%
  • OTIS Mock AIME 2024–2025Competition mathematics · high setting95.6%
  • SWE-bench VerifiedFixing real GitHub issues · high setting79.3%
  • SimpleQA VerifiedShort factual questions · high setting66.2%

Scores from Epoch AI, run independently of Google.

Specifications

The details

Lab
Google
Released
May 19, 2026
Knowledge cutoff
Jan 2025
Context window
1,048,576 tokens
Max output
65,536 tokens
Inputs
Text, Images, PDFs, Audio, Video
Output
Text
Reasoning
Adjustable effort minimal · low · medium · high
Tool calling
Yes
Structured output
Yes
Weights
Proprietary
API model ID
gemini-3.5-flashon Google
Availability
32 API providerslisted on models.dev

Google model documentation

Lab-reported

What Google claims

Published by the lab at launch. Settings vary, so compare these only with care.

BenchmarkScoreSettingSource
Terminal-Bench v2.176.2 success rate—Source
SWE-Bench Pro55.1 resolve ratesingle attemptSource
MCP Atlas83.6 success rate—Source
Toolathlon56.5 success rate—Source
OSWorld-Verified78.4 success rate—Source
MMMU Pro83.6no toolsSource
CharXiv Reasoning84.2no toolsSource
Humanity's Last Exam40.2—Source
ARC-AGI-272.1—Source
GDPval-AA1656 Elo—Source
Same lab

More from Google

Questions

About Gemini 3.5 Flash

How much does Gemini 3.5 Flash cost?

Gemini 3.5 Flash costs $1.50 input / $9.00 output per million tokens (official Google API price). Cached input is $0.15 per million tokens. At a 3:1 input-to-output mix that is $3.38 per million tokens, more expensive than 77% of the 360 priced models we track.

What is the context window of Gemini 3.5 Flash?

Gemini 3.5 Flash accepts up to 1,048,576 tokens per request and can write up to 65,536 tokens in one response.

How good is Gemini 3.5 Flash?

Epoch AI gives Gemini 3.5 Flash a Capabilities Index score of 154.5 (likely range 152.5–156.6), ranking it #33 of 148 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 92.8%, FrontierMath Tiers 1–3 62.8%, OTIS Mock AIME 2024–2025 95.6%, SWE-bench Verified 79.3%, SimpleQA Verified 66.2%.

Is Gemini 3.5 Flash open source?

No. Gemini 3.5 Flash is proprietary; you use it through Google’s API or partner platforms.

What inputs does Gemini 3.5 Flash support?

Gemini 3.5 Flash accepts text, images, PDFs, audio and video and replies in text. It is a reasoning model with minimal, low, medium and high effort settings, supports tool calling and can return structured JSON output.

When was Gemini 3.5 Flash released?

Google released Gemini 3.5 Flash on May 19, 2026. Its training data runs to Jan 2025.

What are the best alternatives to Gemini 3.5 Flash?

The closest current models from other labs on capability, price and release date are Qwen3.7 Max (Alibaba (Qwen), ECI 153.7, $2.50 / $7.50), Grok 4.5 (xAI, ECI 154.0, $2.00 / $6.00), Claude Sonnet 5 (Anthropic, ECI 156.3, $2.00 / $10.00) and Muse Spark 1.1 (Meta, ECI 154.3, $1.25 / $4.25).