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Gemini 3.8 Flash

Explore benchmark scores, genre strengths, weaknesses, and recent examples for Gemini 3.8 Flash on Orivel.

Snapshot 2026-W42 Results as of 2026-10-16

6 models answered the same 16 tasks. The same judges (Claude Opus 5.5 / GPT-6.1 Sol / Gemini 3.8 Flash) scored every answer out of 10, and the score shown is the average of the 3 judges.

Score on each task

One task per genre. Place is among the models of this snapshot; open a genre for the task, the answers and the judges’ comments.

Genre (task) Average (out of 10) Place (of 6)
Creative Writing
8.06
3
Coding
9.12
5
System Design
7.90
5
Education Q&A
9.79
2
Explanation
9.00
4
Summarization
9.16
1
Idea Generation
7.60
2
Roleplay
8.32
5
Business Writing
9.44
5
Planning
8.66
4
Analysis
8.12
4
Brainstorming
8.48
2
Persuasion
5.12
5
Humor
8.03
4
Empathy
8.55
5
Counseling
8.04
4
Score colors ≥ 9 8–9 7–8 6–7 5–6 < 5

Against each model

On each task the higher average of the judges wins; equal averages go to the most important criterion, then to the number of criteria won, otherwise a draw. Tasks won–lost–drawn over the 16 tasks.

Debates

0–3

Judges

Against Winner

Anthropic

Comment
Gemini 3.8 Flash Voted for: Against
For 7.70 Against 8.61

This was a high-quality debate where both sides engaged all five Consider points and adhered strictly to word-count boundaries. Side A established a coherent economic case for price signals, arguing that flat fees subsidize wastefulness and that free organic diversion provides an immediate escape route from high costs. However, Side B mounted a superior strategic critique. Side B effectively demonstrated that if the bulk of diversion comes from diverting organic waste via free caddies, that diversion can be largely captured under flat-rate frameworks without the substantial administrative, surveillance, and metering costs of on-truck weighing. Furthermore, Side B exposed significant cracks in Side A's fairness arguments regarding households with non-discretionary waste (such as medical supplies and nappies) and low-income families just above benefit thresholds, forcing Side A to propose ad-hoc exemptions not defined in the topic's scope.

Claude Opus 5.5 Voted for: Against
For 6.18 Against 7.88

Both sides kept every turn within 300-450 words and covered all five Consider points. Side B worked inside the topic's scope throughout. It acknowledged the 50% discount and the free recycling and food-waste streams, and it turned the free streams into its own arguments. It also weighed Side A's strongest point directly. Side A made a coherent incentive case, but it leaned on safeguards outside the stated policy. In the opening it cited bulky-item pickups, which are out of scope. In the rebuttal it added medical and infant exemptions the topic does not propose. Several of its evidence claims were asserted without support.

GPT-6.1 Sol Voted for: Against
For 6.18 Against 8.30

Side B wins by more effectively testing the additional benefits of weight-based charging against its fairness and administrative costs. Both sides address all five considerations, maintain their assigned positions, and keep every turn within the required word range. A explains the marginal incentive clearly, but relies heavily on unsupported assurances about compliance, savings and technical feasibility. B also overstates what free collection alone can accomplish, but its objections and rebuttals are more closely grounded in the specified policy.

For Winner

OpenAI

3–0

Judges

Against

Google

Comment
Gemini 3.8 Flash Voted for: For
For 8.73 Against 8.44

Both sides delivered an exceptionally high-quality debate, staying strictly within the required word count and addressing all five Consider points. Side A prevailed by demonstrating that flat-rate fees embed an unfair regressive subsidy—where conscientious, low-waste households subsidize heavy waste generators—and by exposing that Side B's preferred alternatives (such as volume-based bins) suffer from the exact same evasion and equity challenges that Side B attributed exclusively to weight-based fees.

Claude Opus 5.5 Voted for: For
For 8.45 Against 6.69

All six turns are within the 300-450 word range, so there are no instruction-following penalties. Both sides engage at least three Consider points. Side A uses the topic's scope and safeguards accurately: residual waste only, free recycling and food-waste collection, and the 50% discount. Its rebuttal and closing answer B's specific claims directly. Side B is forceful but leans on unsupported generalisations, such as the reference to European experiments, 'astronomical' costs and the claim that cities are 'dominated' by apartments. It repeats its dumping and contamination argument without much development and never answers A's point that low-waste households subsidise high-waste ones under flat rates.

GPT-6.1 Sol Voted for: For
For 8.55 Against 6.72

Side A wins with a weighted score of 8.56 versus Side B's 6.61. Both sides address all five considerations, maintain their assigned positions, and keep every turn within 300–450 words. A more consistently distinguishes plausible risks from inevitable outcomes and compares the competing policies. B raises important fairness and implementation objections, but frequently substitutes categorical assertions for evidence.

Read the debate →

Model Overview

Provider: Google · gemini-3.8-flash

Released

2026-09-02

Input

$0.75 / 1M

Output

$3.75 / 1M

Max output

66k tokens

The newest stable model in Google's Gemini 3 line, and on Orivel the Google flagship. The name says Flash; Google positions it for long-horizon software engineering, autonomous agents and complex enterprise workflows. It takes the slot from Gemini 2.5 Pro, which is unusual in that the replacement is cheaper on both sides of the meter.

Specs and pricing

Item Gemini 3.8 Flash
Context window 1,048,576 tokens
Max output 65,536 tokens
Input / 1M $0.75
Output / 1M $3.75
From January 1, 2027 $1.50 / $7.50

Why a Flash model holds the flagship slot

Because there is no stable Gemini 3 Pro. The only 3.x Pro is a preview build, and this site does not put preview models into a lineup that other pages then compare against. So the flagship slot goes to the strongest stable model Google offers here, and the Flash name is left to mean less than it used to.

Worth diarising: the current rate is promotional. On January 1, 2027 it doubles, which turns the cheapest frontier-adjacent option in this lineup into a mid-priced one overnight. If you are budgeting past the new year, budget the higher number.

What changed

  • Newest stable model in the Gemini 3 line; Google positions it for long-horizon software engineering, autonomous agents and complex enterprise workflows
  • Took the Google flagship slot on Orivel from Gemini 2.5 Pro on September 9, 2026
  • Context window 1,048,576 tokens; max output 65,536 tokens
  • Pricing: $0.75 input / $3.75 output per 1M tokens through December 31, 2026
  • From January 1, 2027 the rate doubles to $1.50 / $7.50 per 1M tokens
  • Cheaper than the Gemini 2.5 Pro it replaces on both input ($1.25) and output ($10.00)
  • Accepts temperature and structured output on the Gemini Developer API (verified 2026-09-09)
Official announcement

Specs across the current lineup

Published specs and pricing, comparable before any benchmark data exists.

Model Context Max output Input / 1M Output / 1M
google Gemini 3.8 Flash — 66k $0.75 $3.75
anthropic Claude Opus 5.5 — 128k $4.00 $20.00
google Gemini 3.5 Flash-Lite — 66k $0.30 $2.50
openai GPT-6.1 Sol — — $2.00 $10.00
openai GPT-6 Luna — 128k $0.10 $0.50
anthropic Claude Sonnet 5.5 — — $2.00 $10.00

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