modelstatus.dev

GPT-5.6 Luna Pro

openai/gpt-5.6-luna-proInputfileimagetextOutputtext

Compare its 6 providersIncident RSSCompare with GPT-5.6 Sol Pro, GPT-5.6 Terra Pro, GPT-5.5 Pro

CompareGPT-5.6 Luna Pro
  • Azure100%
    Healthy24h 99.84%
    7d
    99.91%
    30d
    94.85%
    p50
    15.6s
    p99
    65.9s
    Throughput
    257 tps
    Context
    1.1M
    $/Mtok
    $0.200 / $1.20
    azure
  • OpenAI100%
    Healthy24h 100%
    7d
    99.93%
    30d
    99.97%
    p50
    8.24s
    p99
    85.3s
    Throughput
    124 tps
    Context
    1.1M
    $/Mtok
    $0.200 / $1.20
    openai
  • No data24h 100%
    7d
    100%
    30d
    99.37%
    p50
    11.5s
    p99
    22.1s
    Throughput
    262 tps
    Context
    1.1M
    $/Mtok
    $0.220 / $1.32
    azure/eu
  • No data24h 100%
    7d
    99.86%
    30d
    99.99%
    p50
    6.01s
    p99
    18.2s
    Throughput
    273 tps
    Context
    1.1M
    $/Mtok
    $0.400 / $2.40
    openai/fast
  • No data24h 100%
    7d
    100%
    30d
    99.99%
    p50
    16.2s
    p99
    20.7s
    Throughput
    188 tps
    Context
    1.1M
    $/Mtok
    $0.100 / $0.600
    openai/flex
  • No data24h —
    7d
    —
    30d
    —
    p50
    —
    p99
    —
    Throughput
    —
    Context
    1.1M
    $/Mtok
    $0.400 / $2.40
    openai/priority

Measured 2m ago. Latency and throughput are OpenRouter's rolling 30-minute windows.

1 endpoint has no chartable data in this range.

Availability

Axis starts at 90% so small differences stay visible; it expands to 0 when an endpoint falls below.

Time to first token

Logarithmic axis — the fleet spans two orders of magnitude. P50 is OpenRouter's rolling 30-minute window, averaged over the hour.

Throughput

Median tokens per second.

Daily availability

One row per endpoint · one dot per day · last 90 days.

worst hour ≥ 95%90–95%< 90%no data

Colour by each endpoint's worst hour of each UTC day · 6 endpoints · 47 days with data, 27 endpoint-days below 90%.

Price changes