Model comparison

Claude Sonnet 5.5 vs GPT-5.6 Luna

Compare published specifications, vendor API list prices and measured Borg performance. Both models are included in Borg.

Claude Sonnet 5.5

1,000,000 tokensContext window
2640 msMedian time to first token (gateway proxy)
76.7Output tokens per second (whole turn)
—Request success
$2 / $10Vendor API price in / out · per 1M

GPT-5.6 Luna

1,050,000 tokensContext window
3998 msMedian time to first token (gateway proxy)
17.2Output tokens per second (whole turn)
—Request success
$0.2 / $1.2Vendor API price in / out · per 1M

Included in Borg

At a glance

SpecificationClaude Sonnet 5.5GPT-5.6 Luna
ProviderAnthropicOpenAI
Release2026-09-28 Vendor source2026-07-09 Vendor source
Context1,000,000 tokens Vendor source1,050,000 tokens Vendor source
ModalitiesInput: text, image; output: textInput: text, image; output: text
Reasoning / thinking modesYes / Not publishedYes / Not published
Open weightsNoNo
Vendor API list price / 1M tokens$2 input / $10 output$0.2 input / $1.2 output Standard global rates for prompts up to 272,000 input tokens. Above 272,000 input tokens, input and cached-input rates are 2× and output rates are 1.5× for the full request.
BorgIncluded in Borg subscriptionIncluded in Borg subscription

Measured on Borg

Metrics are not directly comparable to vendor benchmark claims. Models served different requests; this is observed gateway traffic, not a controlled head-to-head test.

Time to first token (gateway proxy)

Output tokens per second (whole turn)

MetricClaude Sonnet 5.5GPT-5.6 Luna
Time to first token (gateway proxy) p502640 ms (35971 samples)3998 ms (22631 samples)
Tokens per second (end to end) p5076.7 output tokens per second (86888 samples)17.2 output tokens per second (605485 samples)
Request success rateNot publishedNot published
Coding bench pass rateNot published73% (15 samples)
Measurement window, samples and methodology

The fleet reference is the median of published model medians, not a request-weighted result. Prompt lengths, reasoning settings and traffic differ between models.

Claude Sonnet 5.5: Measured on Borg: SearchAtlas AI Gateway production request logs. 30-day window ending 2026-10-08; 94296 requests. Minimum 100 samples per published request metric.

GPT-5.6 Luna: Measured on Borg: SearchAtlas AI Gateway production request logs. 30-day window ending 2026-10-08; 752719 requests. Minimum 100 samples per published request metric.

Completion speed covers the whole turn including queueing and reasoning time; it is not a streaming tokens-per-second figure.

  • Time to first token (gateway proxy): time until the first streamed response event reaches the gateway; our closest available measure of time to first token
  • Tokens per second (end to end): tokens per second, end to end: provider-reported output tokens divided by the whole turn's elapsed time, including queueing and reasoning; not a streaming per-token rate

How to choose

Claude Sonnet 5.5 is listed for well-scoped bug fixes and code reviews, whereas GPT-5.6 Luna is listed for high-volume classification. Choosing between Claude Sonnet 5.5 and GPT-5.6 Luna requires checking published specifications against observed Borg traffic for your workflow.

Key differences

SpecClaude Sonnet 5.5GPT-5.6 Luna
Context window1,000,000 tokens Vendor source1,050,000 tokens Vendor source Larger context
Reasoning modesYes / Not publishedYes / Not published
Release date2026-09-28 Vendor source2026-07-09 Vendor source
API price input / 1M20.2 Standard global rates for prompts up to 272,000 input tokens. Above 272,000 input tokens, input and cached-input rates are 2× and output rates are 1.5× for the full request. Lower listed rate
API price output / 1M101.2 Standard global rates for prompts up to 272,000 input tokens. Above 272,000 input tokens, input and cached-input rates are 2× and output rates are 1.5× for the full request. Lower listed rate
Time to first token (gateway proxy)2640 ms (35971 samples) Lower median3998 ms (22631 samples)
Output tokens per second (whole turn)76.7 output tokens/s (whole turn) (86888 samples) Higher measured rate17.2 output tokens/s (whole turn) (605485 samples)
Request successNot publishedNot published
Coding benchNot published73% (15 samples)

FAQ

How do Claude Sonnet 5.5 and GPT-5.6 Luna compare for coding?

Claude Sonnet 5.5 has a Borg coding benchmark of not published; GPT-5.6 Luna has 73.33% pass rate across 15 samples and 3 tasks. The Claude Sonnet 5.5–GPT-5.6 Luna coding comparison cannot establish an overall winner from this small test alone.

How quickly do Claude Sonnet 5.5 and GPT-5.6 Luna start responding on Borg?

Borg median first response for Claude Sonnet 5.5 is 2,640 ms; for GPT-5.6 Luna it is 3,998 ms. The Claude Sonnet 5.5–GPT-5.6 Luna gateway medians are observations, not guaranteed latency for individual requests.

What are the API prices for Claude Sonnet 5.5 and GPT-5.6 Luna?

The listed API rate for Claude Sonnet 5.5 is $2 input / $10 output per 1M tokens; for GPT-5.6 Luna it is $0.2 input / $1.2 output per 1M tokens. Neither Claude Sonnet 5.5 nor GPT-5.6 Luna has its Borg subscription charge represented by those provider API rates. Claude Sonnet 5.5 vendor source · GPT-5.6 Luna vendor source

Explore both models

Claude Sonnet 5.5 · GPT-5.6 Luna · Borg pricing

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