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Claude Haiku 5.5 vs GPT-6 Luna

Detailed technical comparison between Claude Haiku 5.5 (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 Haiku 5.5: 0 WinsvsGPT-6 Luna: 6 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

Tie

Equal Pricing
Anthropicactive

Claude Haiku 5.5

Claude Haiku 5.5 is an advanced artificial intelligence model engineered by Anthropic. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Claude Haiku 5.5 represents a key architectural iteration in the Anthropic model family. First released in 2026-10-07, 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 Haiku 5.5 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Claude Haiku 5.5 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 Haiku 5.5GPT-6 Luna
ProviderAnthropicOpenAI
Context Window1,000,000 tokens1,050,000 tokens🏆
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityBeta Access (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-10-072026-09-22

API Pricing Comparison

Input Price per Million Tokens

Claude Haiku 5.5

$0.10

GPT-6 Luna

$0.10

Output Price per Million Tokens

Claude Haiku 5.5

$0.50

GPT-6 Luna

$0.50

💡 Cost Ratio: Both models offer identical input token pricing ($0.10 / MTok).

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
78.4%vs79.8%+1.4% GPT-6 Luna
Claude Haiku 5.5
GPT-6 Luna 🏆
HumanEvalPython coding & logic synthesis
76.6%vs78.0%+1.4% GPT-6 Luna
Claude Haiku 5.5
GPT-6 Luna 🏆
MATHComplex mathematical problem solving
53.8%vs55.2%+1.4% GPT-6 Luna
Claude Haiku 5.5
GPT-6 Luna 🏆
GPQAGraduate-level expert reasoning
39.2%vs40.6%+1.4% GPT-6 Luna
Claude Haiku 5.5
GPT-6 Luna 🏆
HellaSwagCommonsense reasoning and inference
81.4%vs82.8%+1.4% GPT-6 Luna
Claude Haiku 5.5
GPT-6 Luna 🏆
MT-BenchMulti-turn conversation flow quality
8.4%vs8.5%+0.1% GPT-6 Luna
Claude Haiku 5.5
GPT-6 Luna 🏆

Claude Haiku 5.5 Quirks & Gotchas

No developer gotchas reported.

GPT-6 Luna Quirks & Gotchas

No developer gotchas reported.

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