Google

Gemini 3.7 Flash

google/gemini-3.7-flash
Released Aug 13, 2026Commercial
ThinkingToolsVisionAudiocommercial cloud

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

Cost / 1M tokens

Medium usage

$0.75

input

$0.075

cached input

$3.75

output

Context Window

1M

Up to 66K max output

Modalities

text, image, video, file, audio → text

Gemini tokenizer

Quickstart & API

google/gemini-3.7-flash
Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

CodingMultimodalReasoning

Recommended Workloads in ChatOSS

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

Verified Evaluations

Benchmarks & Frontier Comparison

How Gemini 3.7 Flash compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.

View full Top 40 Leaderboard →
Gemini 3.7 FlashDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 Pro
Benchmark (Metric)Gemini 3.7 FlashDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 ProClaude Opus 5.5
Agentic & Software Engineering
ChatOSS Agentic Coding Index (%)44.2%63.2%58.3%65%74.1%
SWE-Bench Verified (%)80.8%91.5%95.4%94.8%97%
DeepSWE v1.1 (Pass@1 %)65.5%77%69%73.5%74.2%
Vibe Code Bench v1.1 (%)70.39%87.7%78.1%88.4%90.3%
Terminal-Bench 4.0 (%)6.06%42.3%42%46.2%65.2%
Code Migration (%)34.8%45.6%44.2%52%66.7%
Intelligence & Token Economics
Artificial Analysis Intelligence Index (0–100)39.639.544.855.157.6
Input Price (/ 1M tokens)$0.75$0.15$1.40$2.00$4.00
Output Price (/ 1M tokens)$3.75$0.60$4.40$10.00$20.00

ChatOSS Agentic Coding Index

ChatOSS Benchmark Audit · 4-benchmark composite mean

44.2%

SWE-Bench Verified

Vals AI · Terminus 2

80.8%

DeepSWE v1.1

DeepSWE / Official Audit · Mini-SWE-Agent

65.5%

Vibe Code Bench v1.1

Vals.ai · OpenHands

70.39%

Terminal-Bench 4.0

Vals.ai / Artificial Analysis · Terminus 2

6.06%

Terminal-Bench 2.1

Vals.ai · Terminus 2

77.53%

Code Migration

Vals.ai · Vals evaluation harness

34.8%

Artificial Analysis Intelligence Index

Artificial Analysis

39.6

Design Arena: AGENTICGAMEDEV

Design Arena · Rank #6 (52% win)

1198 Elo

Design Arena: ANDROIDNATIVE

Design Arena · Rank #6 (53.3% win)

1244 Elo

Design Arena: BLENDER3D

Design Arena · Rank #14 (48.6% win)

1162 Elo

Design Arena: FULLSTACK

Design Arena · Rank #16 (43.5% win)

1208 Elo

Active Provider Endpoints (7)

Upstream inference providers serving Gemini 3.7 Flash, with per-provider pricing, context limits, quantization, and 24-hour uptime.

ProviderInput / 1MOutput / 1MCache Read / 1MContextMax OutputQuantizationUptime (24h)
Google
google-vertex/global/flex
$0.375$1.88$0.0371M66K—52.4%
Google AI Studio
google-ai-studio/flex
$0.375$1.88$0.0371M66K—100.0%
Google AI Studio
google-ai-studio
$0.75$3.75$0.0751M66K—100.0%
Google
google-vertex/global
$0.75$3.75$0.0751M66K—100.0%
Google
google-vertex/us
$0.825$4.13$0.0831M66K—100.0%
Google
google-vertex/global/priority
$1.35$6.75$0.1351M66K—100.0%
Google AI Studio
google-ai-studio/priority
$1.35$6.75$0.1351M66K—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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