Gemini 3.8 Flash
Google's fast multimodal model for agentic workloads, including coding, tool use, image understanding, PDF and document extraction, audio, and video. Its capabilities, limits, reasoning behavior, and pricing currently mirror Gemini 3.7 Flash.
- Reasoning
- Vision
- Audio Input
- Video Input
- Native PDF input
- Tool Calling
- Structured Output
Added Sep 2, 2026
Pricing
Auto routing · per 1M tokens- Input
- $0.75
- Output
- $3.75
- Cache read
- $0.075
Specifications
- Context window
- 1M
- Max output
- 65.5K
- Avg output (7d)
- 1.5K tokens
- Longer than 83% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
39.8
Coding Index
74.1
Agentic Index
39.7
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
60.9%
Better than 87% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1180 Elo
Better than 61% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1426 Elo
Better than 78% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
22.8%
Better than 79% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
84.0%
Better than 98% of models compared
Reasoning
HLE
Humanity's Last Exam
42.1%
Better than 89% of models compared
CritPt
Research-level physics reasoning
12.3%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
19.7%
Better than 73% of models compared
SciCode
Python programming for scientific computing
55.1%
Better than 78% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
53.0%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
51.9%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
93.5%
Better than 97% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
84.0%
Better than 98% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
46.3%
Last updated Oct 12, 2026
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