Google

Gemini 3.5 Flash

google/gemini-3.5-flash
Released May 19, 2026Commercial
ThinkingToolsVisionAudiocommercial cloud

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

Cost / 1M tokens

Medium usage

$1.50

input

$0.15

cached input

$9.00

output

Context Window

1M

Up to 66K max output

Modalities

text, image, video, file, audio → text

Gemini tokenizer

Quickstart & API

google/gemini-3.5-flash
Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

CodingMultimodalSpeed

Recommended Workloads in ChatOSS

  • Fast development
  • Multimodal coding
  • General tasks
Available in ChatOSS Code, Kanban Orchestrate, and Chat modes via Plus, Max, or BYOK.

Verified Evaluations

Benchmarks & Frontier Comparison

How Gemini 3.5 Flash compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.

View full Top 40 Leaderboard →
Gemini 3.5 FlashDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 Pro
Benchmark (Metric)Gemini 3.5 FlashDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 ProClaude Opus 5.5
Agentic & Software Engineering
ChatOSS Agentic Coding Index (%)28.9%63.2%58.3%65%74.1%
SWE-Bench Verified (%)78.8%91.5%95.4%94.8%97%
DeepSWE v1.1 (Pass@1 %)36.1%77%69%73.5%74.2%
Vibe Code Bench v1.1 (%)48.68%87.7%78.1%88.4%90.3%
Terminal-Bench 4.0 (%)4.04%42.3%42%46.2%65.2%
Code Migration (%)26.75%45.6%44.2%52%66.7%
Intelligence & Token Economics
Artificial Analysis Intelligence Index (0–100)33.639.544.855.157.6
Input Price (/ 1M tokens)$1.50$0.15$1.40$2.00$4.00
Output Price (/ 1M tokens)$9.00$0.60$4.40$10.00$20.00

ChatOSS Agentic Coding Index

ChatOSS Benchmark Audit · 4-benchmark composite mean

28.9%

SWE-Bench Verified

Vals AI · Terminus 2

78.8%

DeepSWE v1.1

DeepSWE / Official Audit · Mini-SWE-Agent

36.1%

Vibe Code Bench v1.1

Vals.ai · OpenHands

48.68%

Terminal-Bench 4.0

Vals.ai / Artificial Analysis · Terminus 2

4.04%

Terminal-Bench 2.1

Vals.ai · Terminus 2

74.16%

Code Migration

Vals.ai · Vals evaluation harness

26.75%

Artificial Analysis Intelligence Index

Artificial Analysis

33.6

Design Arena: AGENTICGAMEDEV

Design Arena · Rank #12 (55.4% win)

1146 Elo

Design Arena: AGENTICHTMLSLIDES

Design Arena · Rank #6 (45.8% win)

1162 Elo

Design Arena: AGENTICSLIDES

Design Arena · Rank #3 (57.5% win)

1244 Elo

Design Arena: AGENTICSLIDES(HTML)

Design Arena · Rank #6 (45.7% win)

1162 Elo

Active Provider Endpoints (7)

Upstream inference providers serving Gemini 3.5 Flash, with per-provider pricing, context limits, quantization, and 24-hour uptime.

ProviderInput / 1MOutput / 1MCache Read / 1MContextMax OutputQuantizationUptime (24h)
Google
google-vertex/global/flex
$0.75$4.50$0.0751M66K—94.7%
Google AI Studio
google-ai-studio/flex
$0.75$4.50$0.0751M66K—100.0%
Google
google-vertex/global
$1.50$9.00$0.151M66K—100.0%
Google AI Studio
google-ai-studio
$1.50$9.00$0.151M66K—99.9%
Google
google-vertex/us
$1.65$9.90$0.1651M66K—100.0%
Google
google-vertex/global/priority
$2.70$16.20$0.271M66K—100.0%
Google AI Studio
google-ai-studio/priority
$2.70$16.20$0.271M66K—100.0%

Supported API Parameters

Parameters accepted by this model when called through ChatOSS or OpenRouter.

include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p

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