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ModelCap

Gemini 3.8 Flash

Arena #9No linked weights

Google·#5 of 351 on the current board·cheaper than #4 Muse Wonder

Gemini 3.8 Flash is a language model from Google. It ranks #5 of 351 on ModelCap's current board, with an Index score of 83.5, measured on 5 public benchmarks. Its score range of 79.0–88.0 spans positions #1–#18. It is listed at $0.825 per million input tokens and $4.13 per million output tokens across 2 providers. It reads up to 1M tokens of context, with no downloadable weights linked in the current source data.

Figures as of 18 Oct 2026, 04:31 UTC · download the public dataset · methodology

ModelCap Index · Current board
83.5#5
Measured on 5 public benchmarks · range 79.0–88.0
Evidence as of 16 Oct 2026, 00:00 UTC
Market Gravity
57.7Decreased by 0.2
Secondary market signal
Input
$0.825
per 1M tokens
Output
$4.13
per 1M tokens
Context
1M
tokens
Providers
2
7 endpoints
Gateway spend
1.63%
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Googleglobal/flexCheapest$0.375$1.881M—50.00%
Google AI Studioflex$0.375$1.881M—100.0%
Googleglobal$0.75$3.751M—83.33%
Google AI Studio$0.75$3.751M—100.0%
Googleus$0.825$4.131M—100.0%
Googleglobal/priority$1.35$6.751M—100.0%
Google AI Studiopriority$1.35$6.751M—100.0%

Reasoning efforts

Best supported result can inform ModelCap

Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.

EffortAgent scoreSource rankSampleSource
High
Gemini 3.8 Flash (High)
3.75%
CI 2.6–4.8%
#155.3M obs
38K sessions
LMArena Agent
Match 100%

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
High
Gemini 3.8 Flash (High)
1496
CI 1492–1501
#937KLMArena
Match 100%

Publisher launch results (5)

Publisher’s own claims

Scores Google publishes for this model, with the figures the same tables give for other models. They are the publisher describing its own model, not independent measurement. An independent general board already measures this model, so these claims play no part in its score.

BenchmarkReportedSame table, other models
DeepSWE v1.1
73.7
Claude Opus 5 74 · GPT-5.6 Sol 72.7 · GPT-5.6 Terra 69.6 · Gemini 3.7 Flash 65.3 · +1 more
Terminal-Bench 2.1
89.4
Claude Opus 5 89.1 · GPT-5.6 Sol 88.8 · GPT-5.6 Terra 87.4 · Gemini 3.7 Flash 85.8 · +1 more
Terminal-Bench 4.0
19.1
Claude Opus 5 51.8 · GPT-5.6 Sol 37.3 · GPT-5.6 Terra 23.6 · Claude Sonnet 5 12.4 · +1 more
Humanity’s Last Exam Verified
54.9
GPT-5.6 Sol 54.5 · Claude Opus 5 54.4 · Gemini 3.7 Flash 53.6 · GPT-5.6 Terra 51.1 · +1 more
OSWorld 2.0 partial score batch tool enabled
59
Claude Opus 5 75.4 · GPT-5.6 Sol 62.6 · Gemini 3.7 Flash 50.6 · GPT-5.6 Terra 50.2 · +1 more

Other versions (5)

ModelCap Index · Current board

Methodology
83.5
Measured on 5 public benchmarks
Current board
#5 of 351
Score range
79.0–88.0
Rank range
#1–#18
Evidence as of
16 Oct 2026, 00:00 UTC
Benchmarks used
ARC-AGI-2 Verified, ARC-AGI-3 Verified, Arena Coding, Arena Overall, LMArena Agent
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 5 public benchmark observations across 5 boards
Index support
68.8% · strong
Identity binding
Exact catalogue product · google/google/gemini-3.8-flash · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
5
Qualified Index evidence point
83.5
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
83.5
Evidence status
confirmed · 91% mass
General preference
85.8
Coding
80.3
Agents & tools
61.6
Reasoning
69.7
Evidence breadth
100%
Evidence coverage
69%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
50.4
Liquidity (providers × uptime)
72.9
Open reach (HF downloads)
—
Surface (context / tools / modalities)
100.0
Freshness
84.1
  • · OpenRouter popularity #18
  • · 2 live providers
  • · Catalogue: context 1048576, reasoning, tools, modalities Text/Image/Video/File/Audio
  • · First seen 2026-09-02

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
49.5
partial · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
85.0
Evaluation provenance
89.8

Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
57.7
OpenRouter weekly popularity
#18 of 341
Vercel request share · 7d
2.83%
Venue data through
2026-10-18

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#9 of 416
Rating
1496.4
95% confidence interval
1492–1501
Votes
37K
Source published at
15 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
50.4

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
72.9

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
84.1

Time since first public availability, on a six-month half-life.

Specification

Model ID
google/gemini-3.8-flash
Context window
1M tokens
Declared output cap
66K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, Image, Video, File, Audio
Outputs
Text
Tokenizer
Gemini
Cached input tokens
$0.083 / 1M
First seen on OpenRouter
2 Sept 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Compare Gemini 3.8 Flash with

Pick any model

Benchmark leaderboards featuring Gemini 3.8 Flash

All leaderboards
Public benchmark boards on which Gemini 3.8 Flash has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)14961492–1501#9 of 416High15 Oct 2026
Arena coding leaderboardArena (LMArena)15281521–1535#26 of 411High15 Oct 2026
LMArena Agent leaderboardLMArena3.7%2.6%–4.8%#15 of 52High16 Oct 2026
ARC-AGI-2 leaderboardARC Prize Foundation89.2%#18 of 261High15 Oct 2026
ARC-AGI-3 leaderboardARC Prize Foundation10.4%#32 of 102High15 Oct 2026
Artificial Analysis Intelligence IndexArtificial Analysis40.9#42 of 134High7 Oct 2026
Terminal-Bench 2.1 (Artificial Analysis run)Artificial Analysis87.6%#12 of 128High1 Oct 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis47.8%#27 of 267High30 Sept 2026
Terminal-Bench 4.0 leaderboardTerminal-Bench (Laude Institute)19.1%15.7%–22.5%#29 of 35mini-SWE-agent · High2 Sept 2026

Alternatives to Gemini 3.8 Flash, by the numbers

Ranked neighbours

Models within 3 places of #5 on the ModelCap Index.

Other ranked Google models

The same publisher's other current models with a public Index position.

Gemini 3.8 Flash: common questions

How does Gemini 3.8 Flash rank among AI models?

Gemini 3.8 Flash holds ModelCap Index position #5 of 351 ranked language models as of 18 October 2026, with an Index score of 83.5 (interval 79.0–88.0); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Gemini 3.8 Flash cost per 1M tokens?

Gemini 3.8 Flash is listed at $0.825 per 1M input tokens and $4.13 per 1M output tokens as of 18 October 2026; the lowest output price among 2 providers is $1.88 on Google AI Studio. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $3.71 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Gemini 3.8 Flash?

Gemini 3.8 Flash has a published context window of 1M tokens (1,048,576). The snapshot lists a 65,536 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Gemini 3.8 Flash open-weight?

No linked weights. No downloadable model weights are linked in the current source data. This does not identify every API or chat product that offers the model.

Which API providers serve Gemini 3.8 Flash?

2 providers serve Gemini 3.8 Flash through OpenRouter as of 18 October 2026: Google AI Studio and Google. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Gemini 3.8 Flash been evaluated on?

Gemini 3.8 Flash has published results on 9 public boards tracked by ModelCap as of 18 October 2026: Arena text 1496 (#9 of 416), Arena coding 1528 (#26 of 411), LMArena Agent 3.7% (#15 of 52), ARC-AGI-2 89.2% (#18 of 261) and ARC-AGI-3 10.4% (#32 of 102) and more. Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does Gemini 3.8 Flash compare with Muse Spark 1.3?

Gemini 3.8 Flash ranks #5 (Index 83.5) and Muse Spark 1.3 ranks #6 (Index 83.4) on the ModelCap Index as of 18 October 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Gemini 3.8 Flash released?

Gemini 3.8 Flash first appeared in the catalogue on 2 Sept 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.