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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 98.30%
    7d
    98.24%
    30d
    98.24%
    p50
    9.56s
    p99
    86.1s
    Throughput
    88 tps
    Context
    1.1M
    $/Mtok
    $0.100 / $0.500
    azure
  • Azure100% (best)
    Healthy24h 100%
    7d
    30d
    p50
    8.23s
    p99
    30.8s
    Throughput
    131 tps
    Context
    1.1M
    $/Mtok
    $0.110 / $0.550
    azure/eu
  • OpenAI100% (best)
    Healthy24h 100%
    7d
    100% (best)
    30d
    100% (best)
    p50
    7.21s
    p99
    16.7s
    Throughput
    377 tps (best)
    Context
    1.1M
    $/Mtok
    $0.200 / $1.00
    openai/fast
  • OpenAI100% (best)
    Healthy24h 100%
    7d
    100% (best)
    30d
    100% (best)
    p50
    3.67s (best)
    p99
    63.9s
    Throughput
    45 tps
    Context
    1.1M
    $/Mtok
    $0.050 / $0.250 (best)
    openai/flex
  • OpenAI99.93%
    Healthy24h 99.96%
    7d
    99.91%
    30d
    99.91%
    p50
    12.7s
    p99
    205s
    Throughput
    116 tps
    Context
    1.1M
    $/Mtok
    $0.100 / $0.500
    openai
  • No data24h
    7d
    30d
    p50
    4.11s
    p99
    7.84s (best)
    Throughput
    54 tps
    Context
    1.1M
    $/Mtok
    $0.110 / $0.550
    azure/us

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.