OpenAIproprietary
Released: 2026-08-01

GPT-5.6 Luna

OpenRouter ranked #5 foundation model processing 8.62T tokens weekly. Deployed by openai.

Intelligence Index
90.0/ 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-3Active57.9%
93
2026-09-05independentSource ↗
ARC-AGI-2Nearing Saturation69.4%
75
2026-08-29independentSource ↗
FrontierMathActive24.2%
98
2026-08-26independentSource ↗
PutnamBenchActive45%
90
2026-08-25independentSource ↗
Omni-MATHDeprecated64%
10
2026-08-23independentSource ↗
SWE-LancerDeprecated60.2%
20
2026-08-23independentSource ↗
FrontierCodeActive51.3%
98
2026-08-21independentSource ↗
SoohakActive65.7%
98
2026-08-21independentSource ↗
StructFlowBenchNearing Saturation70.4%
75
2026-08-19independentSource ↗
Humanity's Last ExamActive39.2%
93
2026-08-19independentSource ↗
AIMENearing Saturation82.2%
75
2026-08-19independentSource ↗
OlympiadBenchActive70.9%
80
2026-08-18independentSource ↗
Terminal-BenchActive62%
80
2026-08-17independentSource ↗
FireBenchActive69.6%
95
2026-08-17independentSource ↗
MathArenaActive69.2%
99
2026-08-17independentSource ↗
SimpleQAActive46.8%
90
2026-08-16independentSource ↗
OpenAI-MRCRActive75.6%
80
2026-08-16independentSource ↗
CodeContestsDeprecated57.5%
10
2026-08-16independentSource ↗
SWE-bench ProActive54.9%
90
2026-08-15independentSource ↗
ComplexBenchNearing Saturation67.9%
80
2026-08-15independentSource ↗
LongBench-ProActive73.8%
80
2026-08-15independentSource ↗
MultiPL-EDeprecated81.4%
10
2026-08-14independentSource ↗
ZeroSCROLLSNearing Saturation72%
78
2026-08-14independentSource ↗
InfiniteBenchNearing Saturation76.5%
65
2026-08-13independentSource ↗
LiveCodeBenchSaturated72.6%
39
2026-08-13independentSource ↗
AgentIFNearing Saturation56.3%
80
2026-08-13independentSource ↗
MATHSaturated84.8%
25
2026-08-13independentSource ↗
SCROLLSNearing Saturation72%
65
2026-08-12independentSource ↗
MercuryDeprecated77.9%
10
2026-08-12independentSource ↗
MMLU-ProNearing Saturation82.8%
75
2026-08-12independentSource ↗
TabMWPSaturated79.6%
25
2026-08-11independentSource ↗
CyberSecEvalDeprecated79.7%
10
2026-08-11independentSource ↗
RULERNearing Saturation82.8%
84
2026-08-11independentSource ↗
SWE-bench VerifiedSaturated69%
25
2026-08-10independentSource ↗
QuALITYNearing Saturation79.2%
78
2026-08-10independentSource ↗
MMLU-ReduxSaturated88.2%
25
2026-08-10independentSource ↗
SWE-benchDeprecated60.2%
10
2026-08-09independentSource ↗
MGSMNearing Saturation82.2%
65
2026-08-09independentSource ↗
LongBenchNearing Saturation77.4%
65
2026-08-09independentSource ↗
QASPERNearing Saturation74.7%
65
2026-08-08independentSource ↗
TruthfulQASaturated79.2%
25
2026-08-08independentSource ↗
AGIEvalSaturated76.5%
25
2026-08-08independentSource ↗
SuperGLUESaturated90.8%
25
2026-08-07independentSource ↗
GSM-HardDeprecated83%
10
2026-08-07independentSource ↗
MT-BenchNearing Saturation8.5%
75
2026-08-06independentSource ↗
BIG-Bench HardSaturated87.2%
25
2026-08-06independentSource ↗
CodeXGLUEDeprecated83.2%
23
2026-08-06independentSource ↗
WinoGrandeSaturated92.6%
28
2026-08-05independentSource ↗
MBPP+Nearing Saturation90.3%
65
2026-08-05independentSource ↗
IFEvalDeprecated81.1%
25
2026-08-05independentSource ↗
GPQANearing Saturation79.2%
78
2026-08-05independentSource ↗
HumanEval+Saturated95.6%
25
2026-08-04independentSource ↗
Needle-in-a-HaystackSaturated98%
44
2026-08-04independentSource ↗
CommonsenseQASaturated93.5%
28
2026-08-04independentSource ↗
GSM8KSaturated93.4%
25
2026-08-03independentSource ↗
GLUESaturated96.1%
28
2026-08-03independentSource ↗
MBPPSaturated93.8%
25
2026-08-03independentSource ↗
HumanEvalSaturated100%
25
2026-08-02independentSource ↗
MMLUSaturated91.8%
25
2026-08-02independentSource ↗
ARC-AGISaturated83.7%
25
2026-08-02independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-5-6-luna",
    messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
    temperature=0.2
)
print(response.choices[0].message.content)

Evaluation & Sourcing Notes

Scores listed for GPT-5.6 Luna 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.