LLM Comparison

Claude Haiku 5.5 vs GPT-6 Luna: benchmark scores, pricing & comparison.

Side-by-side Claude Haiku 5.5 vs GPT-6 Luna comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: Claude Haiku 5.5 ranks higher (#16 vs #40) and wins 3 of 3 shared benchmarks.

Rank #16 vs #40AskClash overall scores 60.0 vs 46.4.
Pricing $0.10/$0.50 vs $0.10/$0.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.

Claude Haiku 5.5 vs GPT-6 Luna benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricClaude Haiku 5.5GPT-6 Luna
Overall Score60.046.4
Leaderboard Rank#16#40
ACB63.550.2
Coding Agent Index—41.1
HLE57.438.5
SWE-Pro64.8—
SWE-Atlas—44.4
Terminal-Bench32.8—
DeepSWE—66.6
GDPval-AA1620.01437.1
Finance Agent—49.9
MMMU-Pro—79.7
ARC-AGI 2—59.3
Input Price (per 1M tokens)$0.10$0.10
Output Price (per 1M tokens)$0.50$0.50
Context Window1M1.05M
Benchmarks Published812

Claude Haiku 5.5 vs GPT-6 Luna head-to-head charts

Claude Haiku 5.5 leads 4 and GPT-6 Luna leads 0 of 4 shared benchmarks. Charts show only benchmarks both models publish.

Claude Haiku 5.5GPT-6 Luna
Overall
60.0Claude Haiku 5.5
46.4GPT-6 Luna
ACB
63.5Claude Haiku 5.5
50.2GPT-6 Luna
HLE
57.4Claude Haiku 5.5
38.5GPT-6 Luna
GDPval-AA
1620.0Claude Haiku 5.5
1437.1GPT-6 Luna
Claude Haiku 5.5
Input$0.10
Output$0.50
Workload$0.20
Context1M
GPT-6 Luna
Input$0.10
Output$0.50
Workload$0.20
Context1.05M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Claude Haiku 5.5 and GPT-6 Luna comparisons

Explore how Claude Haiku 5.5 and GPT-6 Luna stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.