Released: 2026-08-01

Amazon Nova 2 Lite

OpenRouter ranked #13 foundation model processing 2.14T tokens weekly. Deployed by amazon.

Intelligence Index
80.4/ 100
Calibrated multi-domain composite
Throughput Speed
100tok/sec
Output streaming throughput
Time To First Token
280ms
Initial chunk server latency
LiveBench Contam-Free
—%
September 2026 suite score

Sourced Benchmark Evaluations (60)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-3Active51.6%
93
2026-09-05independentSource ↗
ARC-AGI-2Nearing Saturation61.9%
75
2026-08-29independentSource ↗
FrontierMathActive21.3%
98
2026-08-26independentSource ↗
PutnamBenchActive39.6%
90
2026-08-25independentSource ↗
Omni-MATHDeprecated56.3%
10
2026-08-23independentSource ↗
SWE-LancerDeprecated54.2%
20
2026-08-23independentSource ↗
FrontierCodeActive46.2%
98
2026-08-21independentSource ↗
SoohakActive57.8%
98
2026-08-21independentSource ↗
StructFlowBenchNearing Saturation62.9%
75
2026-08-19independentSource ↗
Humanity's Last ExamActive34.9%
93
2026-08-19independentSource ↗
AIMENearing Saturation72.3%
75
2026-08-19independentSource ↗
OlympiadBenchActive62.4%
80
2026-08-18independentSource ↗
Terminal-BenchActive55.8%
80
2026-08-17independentSource ↗
FireBenchActive62.1%
95
2026-08-17independentSource ↗
MathArenaActive60.9%
99
2026-08-17independentSource ↗
SimpleQAActive41.8%
90
2026-08-16independentSource ↗
OpenAI-MRCRActive67.5%
80
2026-08-16independentSource ↗
CodeContestsDeprecated51.8%
10
2026-08-16independentSource ↗
SWE-bench ProActive49.4%
90
2026-08-15independentSource ↗
ComplexBenchNearing Saturation60.7%
80
2026-08-15independentSource ↗
LongBench-ProActive65.9%
80
2026-08-15independentSource ↗
MultiPL-EDeprecated73.3%
10
2026-08-14independentSource ↗
ZeroSCROLLSNearing Saturation64.3%
78
2026-08-14independentSource ↗
InfiniteBenchNearing Saturation68.3%
65
2026-08-13independentSource ↗
LiveCodeBenchSaturated65.4%
39
2026-08-13independentSource ↗
AgentIFNearing Saturation50.3%
80
2026-08-13independentSource ↗
MATHSaturated74.6%
25
2026-08-13independentSource ↗
SCROLLSNearing Saturation64.3%
65
2026-08-12independentSource ↗
MercuryDeprecated70.1%
10
2026-08-12independentSource ↗
MMLU-ProNearing Saturation74%
75
2026-08-12independentSource ↗
TabMWPSaturated70%
25
2026-08-11independentSource ↗
CyberSecEvalDeprecated71.7%
10
2026-08-11independentSource ↗
RULERNearing Saturation74%
84
2026-08-11independentSource ↗
SWE-bench VerifiedSaturated62.2%
25
2026-08-10independentSource ↗
QuALITYNearing Saturation70.8%
78
2026-08-10independentSource ↗
MMLU-ReduxSaturated78.8%
25
2026-08-10independentSource ↗
SWE-benchDeprecated54.2%
10
2026-08-09independentSource ↗
MGSMNearing Saturation72.3%
65
2026-08-09independentSource ↗
LongBenchNearing Saturation69.1%
65
2026-08-09independentSource ↗
QASPERNearing Saturation66.7%
65
2026-08-08independentSource ↗
TruthfulQASaturated70.8%
25
2026-08-08independentSource ↗
AGIEvalSaturated68.3%
25
2026-08-08independentSource ↗
SuperGLUESaturated81%
25
2026-08-07independentSource ↗
GSM-HardDeprecated73.1%
10
2026-08-07independentSource ↗
MT-BenchNearing Saturation7.6%
75
2026-08-06independentSource ↗
BIG-Bench HardSaturated77.8%
25
2026-08-06independentSource ↗
CodeXGLUEDeprecated74.9%
23
2026-08-06independentSource ↗
WinoGrandeSaturated82.6%
28
2026-08-05independentSource ↗
MBPP+Nearing Saturation81.3%
65
2026-08-05independentSource ↗
IFEvalDeprecated72.5%
25
2026-08-05independentSource ↗
GPQANearing Saturation70.8%
78
2026-08-05independentSource ↗
HumanEval+Saturated86.1%
25
2026-08-04independentSource ↗
Needle-in-a-HaystackSaturated96.1%
44
2026-08-04independentSource ↗
CommonsenseQASaturated83.4%
28
2026-08-04independentSource ↗
GSM8KSaturated82.2%
25
2026-08-03independentSource ↗
GLUESaturated85.8%
28
2026-08-03independentSource ↗
MBPPSaturated84.5%
25
2026-08-03independentSource ↗
HumanEvalSaturated90.9%
25
2026-08-02independentSource ↗
MMLUSaturated82%
25
2026-08-02independentSource ↗
ARC-AGISaturated74.6%
25
2026-08-02independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="amazon-nova-2-lite",
    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 2 Lite 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.