ModelPriceWatch.com
Last scan 2026-10-17 Models tracked 290 Providers 40 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Gemini 3.5 Flash

by Google

Deprecated flagship mid tier
Deprecated. Still purchasable, but the provider has announced end-of-life. Don't start new work on it. Migration target: Gemini 3.6 Flash. Full deprecation status & replacements →
Availability: Google deprecated Gemini 3.5 Flash (gemini-3.5-flash) on October 8, 2026 and replaced it with Gemini 3.6 Flash. It can no longer be selected in Google AI Studio, and API requests to gemini-3.5-flash are automatically routed to gemini-3.6-flash. Google has not printed a shutdown date.

Today's price · per 1M tokens

Input

$1.50

per 1M tokens

Output

$9.00

per 1M tokens

Blended

$3.38

blended $/1M — 3:1 weighted input:output

How this price is scoped: Google's Gemini API pricing page no longer has a Gemini 3.5 Flash section (read 2026-10-14). The price shown is the last rate it printed for this model, read 2026-08-09: $1.50 per 1M input tokens and $9.00 per 1M output tokens. A request sent to gemini-3.5-flash today is served by Gemini 3.6 Flash; see that model's page for the rate Google prints now.

Source: official Google pricing · read MODELPRICEWATCH.COM · 2026-10-17

Price receipt

We read Google's own pricing page on and found Gemini 3.5 Flash listed with a price on the same card — that read is where the number above comes from. We keep the page text we read; its content hash is 2b5d2335c5.

Overview

Deprecated: Google replaced it with Gemini 3.6 Flash on October 8, 2026 and routes its API requests there. Google's fast, low-cost workhorse from I/O 2026 — strong multimodal reasoning and coding, with native computer-use for agents. Last priced at $1.50/$9 per 1M tokens.

Capabilities

struck through = not supported
Input 4/4
Text ✓ Image ✓ Audio ✓ Video ✓
Output
Text ✓
Features 3/9
Prompt caching Reasoning Coding Fast inference ✓ Long context ✓ Open weights Multimodal ✓ Web search Realtime

Benchmark performance

accuracy % · higher is better
Avg benchmark score70.1%
Perf per $/Mtok20.8
GPQA Diamond vendor
72%
SWE-Bench Verified vendor
55%
Terminal-Bench 2.1
76.2%
MCP Atlas
83.6%
OSWorld-Verified
78.4%
Humanity's Last Exam
40.2%
ARC-AGI 2
72.1%
AIME 2025 vendor
78%
MMMLU vendor
85%
BFCL vendor
75%
HumanEval vendor
88%
MATH 500 vendor
82%
Independent composite scores
  • AA Intelligence Index: 32.6 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 21.2 (−100–100)
  • LMSYS Chatbot Arena: 1477.7 ELO (Human preference)
How it stacks up
  • Ranks #46 of 100 benchmarked models by average score
  • Ranks #37 of 195 comparably-measured models by percentile score, across 8 independent measurements
  • Ranks #135 of 195 comparably-tested models by normalized performance per dollar
  • Strongest at MCP Atlas — 83.6%, #2 of 28

175.4 tokens/sec output 23.16s latency to first token (TTFT)

Source: Vellum LLM Leaderboard · updated · See full rankings →

Specifications

Provider
Google
Context window
1M tokens
Modality
text, image, audio, video
Parameters
Proprietary
Open source
No — proprietary
Released
Status
Deprecated
Last updated
Tags
fastmultimodalflagship

Availability verified: — per Google's own deprecation notice