AI Models · Paid vs Paid

Claude Opus 5.5 Paid vs GPT-6 Luna Paid

Claude Opus 5.5 vs GPT-6 Luna compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Claude Opus 5.5PaidAnthropic
$4 /M input
$20 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
GPT-6 LunaPaidOpenAI
$0.1 /M input
$0.5 /M outputManaged API (no infra to run)
TypeProprietary
Context window1.1M tokens
MultimodalYes
Self-hostNo
Choose GPT-6 Luna for the lower output price ($0.5/M vs $20/M). It also gives you the larger 1.1M context window.

Claude Opus 5.5 vs GPT-6 Luna specs

SpecClaude Opus 5.5GPT-6 LunaWinner
MakerAnthropicOpenAI–
TypeProprietaryProprietary–
Context window1M tokens1.1M tokensGPT-6 Luna
Input price$4/M$0.1/MGPT-6 Luna
Output price$20/M$0.5/MGPT-6 Luna
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)–
LicenseProprietaryProprietary–

Price gap & when to choose each

40×cheaper per output token

GPT-6 Luna is ~40× cheaper than Claude Opus 5.5 on output tokens ($0.5 vs $20 per M tokens).

Choose Claude Opus 5.5 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose GPT-6 Luna if…
  • You want frontier performance through a managed API
  • You need the longer 1.1M context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityClaude Opus 5.5GPT-6 Luna
Open weights (downloadable)✗✗
Self-hostable✗✗
Runs fully offline✗✗
Vision / multimodal✓✓
Tool / function calling✓✓
1M+ context window✓✓

Benchmarks: Claude Opus 5.5 vs GPT-6 Luna

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

GPT-6 Luna delivers 26× more intelligence per dollar.
Claude Opus 5.5
GPT-6 Luna
Intelligence index
57.6
38.1
Humanity's Last Exam
61.4%
38.5%
Long Context Reasoning
84.7%
83.3%
SciCode
66.9%
54.6%
Speed
96.2 tok/s
136.9 tok/s
Latency
423.95s
63.93s
Intelligence per $
7.2
190.5

Benchmark data by Artificial Analysis.

How Claude Opus 5.5 and GPT-6 Luna score

🏆 Best value & openness: GPT-6 Luna (3.5 vs 3.1 / 5)
CriterionClaude Opus 5.5GPT-6 Luna
Cost-efficiency3.05.0
Context window5.05.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.05.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Claude Opus 5.5 Paid

Anthropic · Proprietary

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...

GPT-6 Luna Paid

OpenAI · Proprietary

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Claude Opus 5.5 (batch)Claude Opus 5Claude Opus 5 (batch)Claude Opus 4.8Claude Opus 4.8 (batch)Claude Opus 4.7Claude Opus 4.7 (batch)Claude Opus 4.6Claude Opus 4.6 (batch)Claude Opus 4.5Claude Opus 4.5 (batch)Claude Opus 4.1Claude Opus 4.1 (batch)

Frequently asked questions

Claude Opus 5.5 vs GPT-6 Luna — which is cheaper?

GPT-6 Luna is cheaper on output ($0.5/M vs $20/M).

Which has the larger context window?

GPT-6 Luna offers the larger context window (1.1M tokens).

Claude Opus 5.5 vs GPT-6 Luna — which should I pick in 2026?

Choose GPT-6 Luna for the lower output price ($0.5/M vs $20/M). It also gives you the larger 1.1M context window.

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