Note: This model is now being routed to Gemini 2.5 Pro because Google no longer has the Gemini 2.0 Pro model available and Gemini 2.5 Pro is an across the board improvement. 'DeepGemini', fusion of Gemini 2.5 Pro and Deepseek R1.
Context Window
128.0K
Max Output
65.5K
Input Price (Auto)
$1.29/1M
Output Price (Auto)
$5.00/1M
Cache Read (Auto)
$0.32/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
25.9
Coding Index
33.3
Agentic Index
7.2
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
84.4%
Better than 79% of models compared
HLE
Humanity's Last Exam
22.5%
Better than 78% of models compared
IFBench
Instruction-following benchmark
48.7%
Better than 58% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
54.1%
Better than 55% of models compared
AA-LCR
Long context reasoning evaluation
66.0%
Better than 72% of models compared
GDPval-AA
Economically valuable tasks
8.5%
CritPt
Research-level physics reasoning
2.6%
Coding
SciCode
Python programming for scientific computing
42.8%
Better than 79% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
26.5%
Better than 68% of models compared
LiveCodeBench
Contamination-free coding benchmark
80.1%
Better than 92% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
87.7%
Better than 85% of models compared
AIME
American Invitational Mathematics Examination
88.7%
Better than 95% of models compared
Math-500
Diverse mathematical problem solving benchmark
96.7%
Better than 86% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
86.2%
Better than 95% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
39.1%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
90.9%
Last updated Aug 16, 2026
Artificial AnalysisProviders
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