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 84% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
30.0
Coding Index
76.3
Agentic Index
40.2
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
60.9%
Better than 85% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
31.1%
Better than 86% of models compared
AA-Briefcase v1.1
Agentic knowledge work (Elo)
1183 Elo
Better than 57% of models compared
GDPval-AA v2.1
Economically valuable tasks (Elo)
1431 Elo
Better than 76% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
22.8%
Better than 78% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
84.0%
Better than 98% of models compared
MLCR-AA
Medical long-context reasoning
12.8%
Better than 44% of models compared
Reasoning
HLE
Humanity's Last Exam
42.1%
Better than 88% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
19.7%
Better than 69% of models compared
SciCode
Python programming for scientific computing
55.1%
Better than 77% of models compared
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
Last updated Nov 1, 2026
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