Released: 2024-12-03

Amazon Nova Lite 1.0

Very fast, low-cost multimodal model processing visual and textual data in real-time workloads.

Intelligence Index
79.5/ 100
Calibrated multi-domain composite
Throughput Speed
160tok/sec
Output streaming throughput
Time To First Token
210ms
Initial chunk server latency
LiveBench Contam-Free
69.5%
September 2026 suite score

Sourced Benchmark Evaluations (61)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
LiveBench (Continuous)Active69.5%
94
2025-02-01independentSource ↗
ARC-AGI-3Active50.7%
93
2025-01-07independentSource ↗
ARC-AGI-2Nearing Saturation60.8%
75
2024-12-31independentSource ↗
FrontierMathActive21.3%
98
2024-12-28independentSource ↗
PutnamBenchActive39.5%
90
2024-12-27independentSource ↗
Omni-MATHDeprecated56.2%
10
2024-12-25independentSource ↗
SWE-LancerDeprecated47.5%
20
2024-12-25independentSource ↗
SoohakActive57.8%
98
2024-12-23independentSource ↗
FrontierCodeActive40.5%
98
2024-12-23independentSource ↗
Humanity's Last ExamActive34.3%
93
2024-12-21independentSource ↗
StructFlowBenchNearing Saturation62.2%
75
2024-12-21independentSource ↗
AIMENearing Saturation72.2%
75
2024-12-21independentSource ↗
OlympiadBenchActive62.3%
80
2024-12-20independentSource ↗
FireBenchActive61.4%
95
2024-12-19independentSource ↗
Terminal-BenchActive48.9%
80
2024-12-19independentSource ↗
MathArenaActive60.8%
99
2024-12-19independentSource ↗
OpenAI-MRCRActive66.8%
80
2024-12-18independentSource ↗
CodeContestsDeprecated45.4%
10
2024-12-18independentSource ↗
SimpleQAActive41.3%
90
2024-12-18independentSource ↗
ComplexBenchNearing Saturation60%
80
2024-12-17independentSource ↗
SWE-bench ProActive43.3%
90
2024-12-17independentSource ↗
LongBench-ProActive65.2%
80
2024-12-17independentSource ↗
MultiPL-EDeprecated64.2%
10
2024-12-16independentSource ↗
ZeroSCROLLSNearing Saturation63.6%
78
2024-12-16independentSource ↗
AgentIFNearing Saturation49.7%
80
2024-12-15independentSource ↗
MATHSaturated74.5%
25
2024-12-15independentSource ↗
LiveCodeBenchSaturated57.2%
39
2024-12-15independentSource ↗
InfiniteBenchNearing Saturation67.6%
65
2024-12-15independentSource ↗
MMLU-ProNearing Saturation73.1%
75
2024-12-14independentSource ↗
MercuryDeprecated61.4%
10
2024-12-14independentSource ↗
SCROLLSNearing Saturation63.6%
65
2024-12-14independentSource ↗
RULERNearing Saturation73.1%
84
2024-12-13independentSource ↗
TabMWPSaturated69.9%
25
2024-12-13independentSource ↗
CyberSecEvalDeprecated62.8%
10
2024-12-13independentSource ↗
MMLU-ReduxSaturated77.9%
25
2024-12-12independentSource ↗
QuALITYNearing Saturation70%
78
2024-12-12independentSource ↗
SWE-bench VerifiedSaturated54.4%
25
2024-12-12independentSource ↗
MGSMNearing Saturation72.2%
65
2024-12-11independentSource ↗
LongBenchNearing Saturation68.4%
65
2024-12-11independentSource ↗
SWE-benchDeprecated47.5%
10
2024-12-11independentSource ↗
AGIEvalSaturated67.1%
25
2024-12-10independentSource ↗
QASPERNearing Saturation66%
65
2024-12-10independentSource ↗
TruthfulQASaturated70%
25
2024-12-10independentSource ↗
SuperGLUESaturated79.6%
25
2024-12-09independentSource ↗
GSM-HardDeprecated73%
10
2024-12-09independentSource ↗
MT-BenchNearing Saturation7.5%
75
2024-12-08independentSource ↗
BIG-Bench HardSaturated76.4%
25
2024-12-08independentSource ↗
CodeXGLUEDeprecated65.6%
23
2024-12-08independentSource ↗
MBPP+Nearing Saturation71.2%
65
2024-12-07independentSource ↗
WinoGrandeSaturated81.1%
28
2024-12-07independentSource ↗
IFEvalDeprecated71.7%
25
2024-12-07independentSource ↗
GPQANearing Saturation70%
78
2024-12-07independentSource ↗
HumanEval+Saturated75.4%
25
2024-12-06independentSource ↗
Needle-in-a-HaystackSaturated95.9%
44
2024-12-06independentSource ↗
CommonsenseQASaturated81.9%
28
2024-12-06independentSource ↗
GSM8KSaturated82.1%
25
2024-12-05independentSource ↗
GLUESaturated84.2%
28
2024-12-05independentSource ↗
MBPPSaturated74%
25
2024-12-05independentSource ↗
HumanEvalSaturated79.6%
25
2024-12-04independentSource ↗
MMLUSaturated81.1%
25
2024-12-04independentSource ↗
ARC-AGISaturated73.3%
25
2024-12-04independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="amazon-nova-lite-v1",
    messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
    temperature=0.2
)
print(response.choices[0].message.content)

Evaluation & Sourcing Notes

Scores listed for Amazon Nova Lite 1.0 represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.

All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.