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Gemini 3.8 Flash

by Google DeepMind · Released Sep 2026

Multimodal1M Context
68.8
avg score
Rank #43
Compare
Better than 87% of all models
Context
1.0M tokens (~524 books)
Input $/1M
$0.82
Output $/1M
$4.13
Type
multimodal
License
Proprietary
Benchmarks
29 tested
Data as of
About

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.

Tested on 29 benchmarks · BenchGecko score 68.8. Top scores: OTIS Mock AIME 2024-2025 (98.9%), ARC-AGI (98.5%), Artificial Analysis · GPQA Diamond (95.3%).

Looking for similar performance at lower cost?
DeepSeek V4 Flash scores 68.6 (100% as good) at $0.09/1M input · 89% cheaper
Capabilities
coding
54.9
#73 globally
reasoning
93.8
#5 globally
math
63.1
#77 globally
knowledge
65.3
#32 globally
agentic
64.3
#11 globally
general
47.1
#41 globally
speed
59.1
#10 globally
Benchmark Scores
Compare All
Tested on 29 benchmarks · Ranked across 7 categories
Score Distribution (all 319 models)
0255075100
▲ You are here
WeirdML

Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.

84.8·
73.8·
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

98.5·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

89.2·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

98.9·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Recently Happened
Gemini 3.8 Flash added
Sep 3, 2026
Links
Documentation
BenchGecko API
gemini-3-8-flash
Specifications
  • Typemultimodal
  • Context1.0M tokens (~524 books)
  • ReleasedSep 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.006
Available On
Google DeepMind logoGoogle DeepMind$0.82
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Gemini 3.8 Flash is a proprietary multimodal AI model by Google DeepMind, released in September 2026. It has an average benchmark score of 68.8. Context window: 1M tokens.

Key facts · as of 2026-10-16

  • Gemini 3.8 Flash by Google DeepMind. BenchGecko score 68.8, rank 43 of 319 scored models (normalized average of public benchmark scores).
  • List price $0.82 input · $4.13 output per 1M tokens (as of 2026-10-16).
  • Sold by 7 providers (as of 2026-10-16): Google $0.38 in / $1.88 out · Google AI Studio $0.38 in / $1.88 out · Google $0.75 in / $3.75 out · Google AI Studio $0.75 in / $3.75 out · Google $0.82 in / $4.13 out · and 2 more. Every provider
  • Gecko Tests · Gecko Score 61 (rank 5): Who Are You B (Knows who made it) · World Map A (97.4% of the map right) · Knowledge Horizon E (Knows news up to Mar 2025) · Tokenizer Tax B (44% more tokens outside English).

How to cite · data as of 2026-10-16

Gemini 3.8 Flash · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-16. https://benchgecko.ai/model/gemini-3-8-flash

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP