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Gemini 3.8 Flash

by Google

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.

Visit Google ↗

Our verdict

Not reviewed yet

We have not reviewed Gemini 3.8 Flash yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Gemini 3.8 Flash

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.

Best for

Multimodal task assistance

Notes

Gemini 3.8 Flash is listed in the EDNA Models directory from the OpenRouter catalogue.

Pros

  • Reasoning over mixed text and visual inputs
  • text, image, video, file, audio input; text output on the listed OpenRouter route

Cons

  • Choosing on a Flash label without measuring your workload
  • Assuming audio input means audio output
  • Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.

Key facts

What we have checked

Input price
$0.825 per million tokens
Checked OpenRouter models API
Output price
$4.13 per million tokens
Checked OpenRouter models API
Price on google-ai-studio
$0.037 per million cached input tokens
Checked OpenRouter models API
Price on google-ai-studio
$0.375 per million input tokens
Checked OpenRouter models API
Price on google-ai-studio
$1.88 per million output tokens
Checked OpenRouter models API
Price on google-vertex
$0.037 per million cached input tokens
Checked OpenRouter models API
Price on google-vertex
$0.375 per million input tokens
Checked OpenRouter models API
Price on google-vertex
$1.88 per million output tokens
Checked OpenRouter models API
Latest version
google/gemini-3.8-flash-20260902
Checked OpenRouter models API
Gpqa diamond
95.4% (for 2 Sept 2026)
Checked Epoch AI (CC BY 4.0)
Frontiermath tiers 1 3 v2 private
68.4% (for 2 Sept 2026)
Checked Epoch AI (CC BY 4.0)
Simpleqa verified
69.7% (for 2 Sept 2026)
Checked Epoch AI (CC BY 4.0)

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

API access

How to call it

Call via OpenRouter with model id `google/gemini-3.8-flash`.

  • openrouter · google/gemini-3.8-flash · Docs

OpenRouter id: google/gemini-3.8-flash

Price

What Gemini 3.8 Flash costs, over time

Input price

$0.750 to $0.825

US dollars per million input tokens. 3 Sept 2026 to 10 Nov 2026, 44 days.

Source: OpenRouter models API. Checked .

Output price

$3.75 to $4.13

US dollars per million output tokens. 3 Sept 2026 to 10 Nov 2026, 44 days.

Source: OpenRouter models API. Checked .

Prices by host

HostPriceOver timeChecked
google-ai-studioCached input$0.037 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-ai-studioInput$0.375 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-ai-studioOutput$1.88 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-vertexCached input$0.037 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-vertexInput$0.375 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-vertexOutput$1.88 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API

Usage

How much Gemini 3.8 Flash is used

Tokens served a day

237.6B to 256B

tokens a day on OpenRouter. 19 Sept 2026 to 10 Nov 2026, 53 readings.

Source: OpenRouter model activity (748 of 748 series). Checked .

Scores

How Gemini 3.8 Flash scores

Each score comes from the named source and shows when we last confirmed it. A flag means the score needs care.

ScoreValueSourceChecked
Artificial Analysis Intelligence Index30.8indexAs of 10 Nov 2026Artificial Analysis via OpenRouter
Artificial Analysis Coding Index76.3indexAs of 10 Nov 2026Artificial Analysis via OpenRouter
Artificial Analysis Agentic Index40.2indexAs of 10 Nov 2026Artificial Analysis via OpenRouter
LMArena text rating (Elo)1,500EloAs of 10 Nov 2026LMArena (CC-BY-4.0), published 2026-11-09
LMArena web development rating (Elo)1,583EloAs of 10 Nov 2026LMArena (CC-BY-4.0), published 2026-11-09
LMArena vision rating (Elo)1,317EloAs of 10 Nov 2026LMArena (CC-BY-4.0), published 2026-11-09
Design Arena rating (Elo)1,307EloAs of 10 Nov 2026Design Arena via OpenRouter
Apex agents (best-across-versions)64.3percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Arc agi (best-across-versions)98.5percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Arc agi 2 (best-across-versions)89.2percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Chess puzzles (best-across-versions)58percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Dtbench (best-across-versions)95.7percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Show 15 more scores
ScoreValueSourceChecked
Frontiercode (best-across-versions)41.2percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Frontiermath tier 4 v2 private (best-across-versions)22percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Frontiermath tiers 1 3 v2 private (best-across-versions)68.4percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Frontierswe (best-across-versions)19.6percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Furniture assembly (best-across-versions)31.7percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Gpqa diamond (best-across-versions)95.4percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Lmca (best-across-versions)52.9percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Mystery game puzzles (best-across-versions)47percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Otis mock aime 2024 2025 (best-across-versions)Saturated98.9percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Proofbench (best-across-versions)48percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Remote labor index (best-across-versions)5.8percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Simpleqa verified (best-across-versions)69.7percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Surface evolver bench (best-across-versions)76.9percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Weirdml (best-across-versions)84.8percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Weirdml v3 (best-across-versions)14.6percentAs of 2 Sept 2026Epoch AI (CC BY 4.0)
Saturated
Top models score close to the maximum, so this test no longer separates them.

Sources

Where this comes from

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Price changed

    output per mtok: 3.75 to 4.125

    Source: OpenRouter models API

  2. Price changed

    input per mtok: 0.75 to 0.825

    Source: OpenRouter models API

In the AI Pulse

Recent daily briefs from the Enterprise DNA AI Pulse that mention this. The short daily read on what is actually happening in AI.

See today's AI Pulse →

USAGE / OPENROUTER

How much Gemini 3.8 Flash is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
1.6T ▲1.8%
Requests, last 7 days
87.4M
Tool calls, last 7 days
14.3M
Intelligence score
30.8
People's vote
1500
Average cost per request
97.8¢
Price per million tokens
$0.825 in · $4.13 out
0250B500B19 Sept: 238B tokens, 6.8M requests20 Sept: 256B tokens, 7.2M requests21 Sept: 346B tokens, 9.1M requests22 Sept: 392B tokens, 11.2M requests23 Sept: 311B tokens, 9.5M requests24 Sept: 313B tokens, 11.1M requests25 Sept: 340B tokens, 11.1M requests26 Sept: 232B tokens, 8.5M requests27 Sept: 224B tokens, 8.2M requests28 Sept: 303B tokens, 10.9M requests29 Sept: 331B tokens, 11.5M requests30 Sept: 366B tokens, 12.1M requests1 Oct: 338B tokens, 12.4M requests2 Oct: 359B tokens, 11.3M requests3 Oct: 234B tokens, 8.7M requests4 Oct: 252B tokens, 9.4M requests5 Oct: 311B tokens, 11.9M requests6 Oct: 308B tokens, 12.6M requests7 Oct: 328B tokens, 12.8M requests8 Oct: 309B tokens, 12.9M requests9 Oct: 310B tokens, 12.8M requests10 Oct: 246B tokens, 9.8M requests11 Oct: 236B tokens, 9.7M requests12 Oct: 298B tokens, 12.9M requests13 Oct: 280B tokens, 13M requests14 Oct: 296B tokens, 13.8M requests15 Oct: 282B tokens, 13.1M requests16 Oct: 262B tokens, 11.8M requests17 Oct: 175B tokens, 9.5M requests18 Oct: 165B tokens, 8.8M requests19 Oct: 216B tokens, 11.6M requests20 Oct: 264B tokens, 13.5M requests21 Oct: 282B tokens, 13.2M requests22 Oct: 251B tokens, 13.3M requests23 Oct: 219B tokens, 12.1M requests24 Oct: 162B tokens, 9.8M requests25 Oct: 184B tokens, 10.2M requests26 Oct: 241B tokens, 13M requests27 Oct: 262B tokens, 14M requests28 Oct: 240B tokens, 13.5M requests29 Oct: 235B tokens, 13.9M requests30 Oct: 214B tokens, 12.4M requests31 Oct: 167B tokens, 9.7M requests1 Nov: 169B tokens, 9.5M requests2 Nov: 249B tokens, 12.3M requests3 Nov: 265B tokens, 13.3M requests4 Nov: 230B tokens, 13.2M requests5 Nov: 248B tokens, 13.4M requests6 Nov: 234B tokens, 13.2M requests7 Nov: 176B tokens, 10.6M requests8 Nov: 180B tokens, 9.8M requests9 Nov: 242B tokens, 13M requests10 Nov: 256B tokens, 14.1M requests19 Sept3 Oct17 Oct31 Oct10 NovSee where it ranks on the leaderboard →

MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with Gemini 3.8 Flash.

Specifications reviewed; no EDNA task evaluation has been run. Sources checked 2026-11-11. Hosting routes and app features can differ.

DeveloperGoogle
Exact model identifiergoogle/gemini-3.8-flash
Inputtext, image, video, file, audio
Outputtext
Tool calling
Listed support
Structured output
Listed support
Reasoning controls
Listed support
Availability
available
Price basis
token
Licence verification
Check the developer licence; the model name is insufficient
Context length
1M tokens
Knowledge cutoff
Not established
Developer release date
Not established
First seen in the catalogue
2 Sept 2026
Listed retirement date
Not established

Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.

Consider it for

  • Reasoning over mixed text and visual inputs
  • Testing Flash-class suitability for a scoped agent step

Watch for

  • Choosing on a Flash label without measuring your workload
  • Assuming audio input means audio output

PRACTICAL EXERCISE / NOT RUN BY ENTERPRISE DNA

Try the model on a small, checkable task.

From a supplied meeting clip, list only decisions with a timestamp and quote supporting each. Put unclear audio in an unresolved section.

Check the result: Every claimed decision has a timestamp and source quote; uncertain speech remains uncertain.

Compare another approach

anthropic claude sonnet 5 5 ↗openai gpt 6 1 sol ↗
Inspect the sources and their scope
provider source ↗

Developer documentation for model family or task. OpenRouter route-specific properties remain catalogue claims; EDNA has not executed a task evaluation.

Checked 2026-10-19
catalogue source ↗

google/gemini-3.8-flash: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-11-11
openrouter.ai ↗

Source for reasoning controls, first seen, tool calling, context length, input, output, structured output.

Checked 2026-11-11
How to evaluate a model for your work →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Build an appWorkflow & starter prompt ↗Extract document dataWorkflow & starter prompt ↗Run a reliable agentWorkflow & starter prompt ↗

What would it cost?

Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.

Working out the cost...

Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗

Check the source

Price date: 10 Nov 2026, from OpenRouter models API. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 30.8 (2026-11-09) ↗Coding Index: 76.3 (2026-11-09) ↗Agentic Index: 40.2 (2026-11-09) ↗
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