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Claude Opus 4.8 vs GPT-6 Luna

Detailed technical comparison between Claude Opus 4.8 (Anthropic) and GPT-6 Luna (OpenAI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Claude Opus 4.8: 6 WinsvsGPT-6 Luna: 0 Wins
Context Leader

GPT-6 Luna

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-6 Luna

$0.10 / MTok
Anthropicactive

Claude Opus 4.8

Claude Opus 4.8 is an advanced artificial intelligence model engineered by Anthropic. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Claude Opus 4.8 represents a key architectural iteration in the Anthropic model family. First released in 2026-05-27, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,000,000 tokens (approximately 1,333 words), Claude Opus 4.8 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Claude Opus 4.8 Full Specs →
OpenAIactive

GPT-6 Luna

GPT-6 Luna is an advanced artificial intelligence model engineered by OpenAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GPT-6 Luna represents a key architectural iteration in the OpenAI model family. First released in 2026-09-22, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,050,000 tokens (approximately 1,400 words), GPT-6 Luna processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View GPT-6 Luna Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationClaude Opus 4.8GPT-6 Luna
ProviderAnthropicOpenAI
Context Window1,000,000 tokens1,050,000 tokens🏆
Agent Suitability97/100 (est.)Not yet benchmarked
Time to First Token (TTFT)520 ms (est.)No public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityBeta Access (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-05-272026-09-22

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.8

$5.00

GPT-6 Luna

$0.10

Output Price per Million Tokens

Claude Opus 4.8

$25.00

GPT-6 Luna

$0.50

💡 Cost Ratio: GPT-6 Luna is 50.0x cheaper per input token than Claude Opus 4.8.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
95.4%vs79.8%+15.6% Claude Opus 4.8
Claude Opus 4.8 🏆
GPT-6 Luna
HumanEvalPython coding & logic synthesis
97.2%vs78.0%+19.2% Claude Opus 4.8
Claude Opus 4.8 🏆
GPT-6 Luna
MATHComplex mathematical problem solving
94.1%vs55.2%+38.9% Claude Opus 4.8
Claude Opus 4.8 🏆
GPT-6 Luna
GPQAGraduate-level expert reasoning
86.5%vs40.6%+45.9% Claude Opus 4.8
Claude Opus 4.8 🏆
GPT-6 Luna
HellaSwagCommonsense reasoning and inference
99.2%vs82.8%+16.4% Claude Opus 4.8
Claude Opus 4.8 🏆
GPT-6 Luna
MT-BenchMulti-turn conversation flow quality
9.8%vs8.5%+1.3% Claude Opus 4.8
Claude Opus 4.8 🏆
GPT-6 Luna

Claude Opus 4.8 Quirks & Gotchas

  • ▸Best-in-class for autonomous code repair and multi-agent orchestration
  • ▸Preview model — API may introduce breaking changes without notice

GPT-6 Luna Quirks & Gotchas

No developer gotchas reported.

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