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uxwizz.com
#111

Gemini 3.8 Flash

Google Release: 2026-09-02 Tested on: 2026-10-01 02:30 google/gemini-3.8-flash::medium
~500B total (~20B active)MoEClosedEstimated
(high) (medium) (low)

Summary

Gemini 3.8 Flash scores 8.0 on AI BENCHY and ranks #111. It has 9.9 reliability, a 89.9% pass rate, $0.769 total cost, and 16.64s average response time.

What makes Gemini 3.8 Flash unique: It stands out most in Domain specific, where it ranks #1, while Agentic is its weakest area at #16.

Model facts

Researched on 2026-09-02

Estimated
Parameters
~500B total (~20B active)
Architecture
MoE
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. Google documents this model as based on Gemini 3.7 Flash but does not disclose architecture or parameter counts; estimates follow the related 3.7 Flash record.

Score

8.0

Consistency

9.0

Total Output Tokens

167,486

Total Input Tokens

187,331

Input Price

$0.750 / 1M

Output Price

$3.750 / 1M

Cache Read Price

$0.075 / 1M

Cache Write Price

$0.042 / 1M

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 4

Attempt pass rate: 89.9%

Flaky tests

3

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

16.64s

Response Time (max): 108.60s

Response Time (total): 382.64s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#111 Gemini 3.8 Flash

medium
Cost
$0.037
Time
54.6s
Tokens
9,712 tok

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price Cache Read Price Cache Write Price
2026-10-01 18:33 $0.750 / 1M $3.750 / 1M $0.075 / 1M $0.042 / 1M

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Agentic 2.8 1.6
Anti-AI Tricks 10.0 10.0
Coding 8.0 9.9
Combined 8.7 6.9
Data parsing and extraction 10.0 10.0
Domain specific 8.2 7.2
General Intelligence 10.0 10.0
Instructions following 10.0 10.0
Puzzle Solving 10.0 10.0
Tool Calling 10.0 10.0
Trivia 10.0 10.0

Compared models