Standard Compute
Model comparison 2026

Claude Haiku 5.5 vs GPT-5.6 Luna

Claude Haiku 5.5
Anthropic · Budget · Proprietary
$0.22/1M · 1M ctx
GPT-5.6 Luna
OpenAI · Budget · Proprietary
$0.50/1M · 1.1M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
Haiku 5.5
GPT-5.6 Luna
Maker
Anthropic
OpenAI
Blended price / 1M
$0.22
$0.50
Input / output
$0.10 in · $0.50 out / 1M tokens
$0.20 in · $1.20 out / 1M tokens
Context window
1M
1.1M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.1
8.4
Agentic Ability
9.0
8.3
Speed
9.6
9.3
Value for money
9.4
9.0
Reliability
9.3
9.1

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: Haiku 5.5 or GPT-5.6 Luna?

Updated 2026-10-13

Choose Claude Haiku 5.5 if you want subagents, routing and high-volume steps that stay under 100K tokens per request. Choose GPT-5.6 Luna if you want cheap, fast subtasks, routing, and subagents in OpenAI-based stacks.

In our editorial scoring, Claude Haiku 5.5 leads in 5 of five dimensions (output quality, agentic ability, speed, value for money and reliability), while GPT-5.6 Luna leads in 0. On price, Claude Haiku 5.5 runs about $0.22 per 1M tokens (blended) and is proprietary; GPT-5.6 Luna is about $0.50 and proprietary.

Where Haiku 5.5 falls short
  • Prompts over 100K tokens cost 5x, on the whole request
  • New tokenizer counts about 30% more tokens than Haiku 4.5 for the same text
Full Haiku 5.5 breakdown →
Where GPT-5.6 Luna falls short
  • Clear quality step below Terra and Sol
  • Superseded by GPT-6 Luna, which is cheaper ($0.10/$0.50) and stronger
Full GPT-5.6 Luna breakdown →

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