modelstatus.dev

← GPT-5.6 Luna Pro

GPT-5.6 Luna Pro: providers compared

Every endpoint serving this model, side by side. ◆ marks the best value in each column — per model, never fleet-wide.

  • OpenAI100%
    Healthy24h 99.94%
    7d
    99.94%
    30d
    99.96%
    p50
    7.87s
    p99
    67.7s
    Throughput
    114 tps
    Context
    1.1M
    $/Mtok
    $0.200 / $1.20
    openai
  • No data24h 99.87%
    7d
    99.89%
    30d
    95.51%
    p50
    11.5s
    p99
    47.5s
    Throughput
    128 tps◆ (best)
    Context
    1.1M
    $/Mtok
    $0.200 / $1.20
    azure
  • No data24h 100%
    7d
    100%◆ (best)
    30d
    99.76%
    p50
    5.11s
    p99
    6.83s◆ (best)
    Throughput
    112 tps
    Context
    1.1M
    $/Mtok
    $0.220 / $1.32
    azure/eu
  • No data24h 99.79%
    7d
    99.16%
    30d
    99.96%
    p50
    3.84s◆ (best)
    p99
    16.1s
    Throughput
    125 tps
    Context
    1.1M
    $/Mtok
    $0.400 / $2.40
    openai/fast
  • No data24h 100%
    7d
    100%
    30d
    99.99%◆ (best)
    p50
    3.91s
    p99
    16.5s
    Throughput
    123 tps
    Context
    1.1M
    $/Mtok
    $0.100 / $0.600◆ (best)
    openai/flex
  • No data24h —
    7d
    —
    30d
    —
    p50
    —
    p99
    —
    Throughput
    —
    Context
    1.1M
    $/Mtok
    $0.400 / $2.40
    openai/priority

Measured 5m ago. Latency and throughput are OpenRouter's rolling 30-minute windows. ◆ marks the best value in each column among these endpoints.

Price vs latency

One dot per endpoint at the latest round · further left = faster, lower = cheaper · hover a dot for its tag

History

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.

Throughput

Median tokens per second.