Google

Gemini 3.8 Flash

google/gemini-3.8-flash
Released Sep 2, 2026Commercial
ThinkingToolsVisionAudiocommercial cloud

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Cost / 1M tokens

Medium usage

$0.825

input

$0.083

cached input

$4.13

output

Context Window

1M

Up to 66K max output

Modalities

text, image, video, file, audio → text

Gemini tokenizer

Quickstart & API

google/gemini-3.8-flash
Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

CodingAgentic workflowsLong context

Recommended Workloads in ChatOSS

  • Software engineering
  • Coding agents
  • Large repositories
Available in ChatOSS Code, Kanban Orchestrate, and Chat modes via Plus, Max, or BYOK.

Verified Evaluations

Benchmarks & Frontier Comparison

How Gemini 3.8 Flash compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.

View full Top 40 Leaderboard →
Gemini 3.8 FlashDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 Pro
Benchmark (Metric)Gemini 3.8 FlashDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 ProClaude Opus 5.5
Agentic & Software Engineering
ChatOSS Agentic Coding Index (%)50.5%63.2%58.3%65%74.1%
SWE-Bench Verified (%)80%91.5%95.4%94.8%97%
DeepSWE v1.1 (Pass@1 %)73.8%77%69%73.5%74.2%
Vibe Code Bench v1.1 (%)78.65%87.7%78.1%88.4%90.3%
Terminal-Bench 4.0 (%)13.13%42.3%42%46.2%65.2%
Code Migration (%)36.55%45.6%44.2%52%66.7%
Intelligence & Token Economics
Artificial Analysis Intelligence Index (0–100)40.939.544.855.157.6
Input Price (/ 1M tokens)$0.825$0.15$1.40$2.00$4.00
Output Price (/ 1M tokens)$4.13$0.60$4.40$10.00$20.00

ChatOSS Agentic Coding Index

ChatOSS Benchmark Audit · 4-benchmark composite mean

50.5%

SWE-Bench Verified

BenchLM (Vals AI) · Terminus 2

80%

DeepSWE v1.1

DeepSWE / Official Audit · Mini-SWE-Agent

73.8%

Vibe Code Bench v1.1

Vals.ai · OpenHands

78.65%

Terminal-Bench 4.0

Vals.ai / Artificial Analysis · Terminus 2

13.13%

Terminal-Bench 2.1

Vals.ai · Terminus 2

90.8%

Code Migration

Vals.ai · Vals evaluation harness

36.55%

Artificial Analysis Intelligence Index

Artificial Analysis

40.9

Design Arena: ANDROIDNATIVE

Design Arena · Rank #31 (33.4% win)

1084 Elo

Design Arena: BLENDER3D

Design Arena · Rank #5 (54.3% win)

1232 Elo

Design Arena: FULLSTACK

Design Arena · Rank #11 (48.1% win)

1244 Elo

Design Arena: GODOTGAMEDEV

Design Arena · Rank #5 (53% win)

1273 Elo

Active Provider Endpoints (7)

Upstream inference providers serving Gemini 3.8 Flash, with per-provider pricing, context limits, quantization, and 24-hour uptime.

ProviderInput / 1MOutput / 1MCache Read / 1MContextMax OutputQuantizationUptime (24h)
Google AI Studio
google-ai-studio/flex
$0.375$1.88$0.0371M66K—100.0%
Google
google-vertex/global/flex
$0.375$1.88$0.0371M66K—53.8%
Google AI Studio
google-ai-studio
$0.75$3.75$0.0751M66K—100.0%
Google
google-vertex/global
$0.75$3.75$0.0751M66K—98.6%
Google
google-vertex/us
$0.825$4.13$0.0831M66K—92.4%
Google AI Studio
google-ai-studio/priority
$1.35$6.75$0.1351M66K—99.9%
Google
google-vertex/global/priority
$1.35$6.75$0.1351M66K—99.3%

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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