Amazon's new flagship model. Can handle up to 300k input tokens, with comparable performance to ChatGPT and Claude 3.5 Sonnet.
Added Dec 3, 2024
Context Window
300.0K
Max Output
32.0K
Input Price (Auto)
$0.80/1M
Output Price (Auto)
$3.20/1M
Cache Read (Auto)
$0.40/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
7.0
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
14.0%
Better than 12% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
21.0%
Better than 25% of models compared
Reasoning
HLE
Humanity's Last Exam
3.2%
Better than 3% of models compared
IFBench
Instruction-following benchmark
38.1%
Better than 34% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
6.1%
Better than 34% of models compared
LiveCodeBench
Contamination-free coding benchmark
23.3%
Better than 24% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
7.0%
Better than 11% of models compared
AIME
American Invitational Mathematics Examination
10.7%
Better than 34% of models compared
Math-500
Diverse mathematical problem solving benchmark
78.6%
Better than 44% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
69.1%
Better than 33% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
16.9%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
77.7%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
49.9%
Better than 24% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
21.0%
Better than 25% of models compared
Last updated Sep 13, 2026
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