Gemini 4 Argon
Google's Gemini 4 Argon is a fast multimodal model for agentic workloads, including coding, tool use, image understanding, PDF and document extraction, audio, and video.
- Reasoning
- Vision
- Audio Input
- Video Input
- Native PDF input
- Tool Calling
- Structured Output
Added Oct 13, 2026
Pricing
Auto routing · per 1M tokens- Input
- $2.00
- Output
- $10.00
- Cache read
- $0.10
Specifications
- Context window
- 1M
- Max output
- 65.5K
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
52.6
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
77.5%
Better than 99% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
53.1%
Better than 97% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1490 Elo
Better than 85% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1626 Elo
Better than 93% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
21.8%
Better than 76% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
79.7%
Better than 85% of models compared
Reasoning
HLE
Humanity's Last Exam
57.1%
Better than 99% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
57.1%
Better than 97% of models compared
SciCode
Python programming for scientific computing
61.8%
Better than 98% of models compared
Legacy benchmarks
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
79.7%
Better than 84% of models compared
Last updated Oct 13, 2026
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