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← GPT-6 Luna Pro

GPT-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.

  • Azure100%◆ (best)
    Healthy24h 99.93%
    7d
    99.99%
    30d
    99.36%
    p50
    7.37s
    p99
    32.4s
    Throughput
    100 tps
    Context
    1.1M
    $/Mtok
    $0.100 / $0.500
    azure
  • OpenAI100%◆ (best)
    Healthy24h 100%
    7d
    100%◆ (best)
    30d
    99.90%
    p50
    8.54s
    p99
    59.6s
    Throughput
    97 tps
    Context
    1.1M
    $/Mtok
    $0.100 / $0.500
    openai
  • No data24h 100%
    7d
    99.97%
    30d
    99.99%◆ (best)
    p50
    —
    p99
    —
    Throughput
    —
    Context
    1.1M
    $/Mtok
    $0.110 / $0.550
    azure/eu
  • No data24h 100%
    7d
    100%◆ (best)
    30d
    99.86%
    p50
    —
    p99
    —
    Throughput
    —
    Context
    1.1M
    $/Mtok
    $0.110 / $0.550
    azure/us
  • No data24h 100%
    7d
    100%◆ (best)
    30d
    99.93%
    p50
    5.20s◆ (best)
    p99
    24.8s◆ (best)
    Throughput
    156 tps◆ (best)
    Context
    1.1M
    $/Mtok
    $0.200 / $1.00
    openai/fast
  • No data24h 100%
    7d
    80.10%
    30d
    90.52%
    p50
    22.4s
    p99
    52.8s
    Throughput
    57 tps
    Context
    1.1M
    $/Mtok
    $0.050 / $0.250◆ (best)
    openai/flex

Measured 1m 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, averaged over the hour.

Throughput

Median tokens per second.