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
Avg output tokens (7d)
243 tokens
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
2.1
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
49.9%
Better than 24% of models compared
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
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
14.0%
Better than 12% of models compared
AA-LCR
Long context reasoning evaluation
21.0%
Better than 25% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
Terminal-Bench Hard
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%
Last updated Sep 7, 2026
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