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%).
DeepSeek V4 Flash scores 68.6 (100% as good) at $0.09/1M input · 89% cheaper
Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.
Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.
ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.
Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.
- Typemultimodal
- Context1.0M tokens (~524 books)
- ReleasedSep 2026
- LicenseProprietary
- StatusActive
- Cost / Message~$0.006
Frequently Asked Questions
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