Standard Compute
Model comparison 2026

Claude Haiku 4.5 vs GPT-6 Luna

Claude Haiku 4.5
Anthropic · Budget · Proprietary
$2.20/1M · 200K ctx
GPT-6 Luna
OpenAI · Budget · Proprietary
$0.22/1M · 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 4.5
GPT-6 Luna
Maker
Anthropic
OpenAI
Blended price / 1M
$2.20
$0.22
Input / output
$1.00 in · $5.00 out / 1M tokens
$0.10 in · $0.50 out / 1M tokens
Context window
200K
1.1M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.2
8.7
Agentic Ability
8.2
8.5
Speed
9.0
9.3
Value for money
8.3
9.4
Reliability
9.3
9.1

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

Verdict: Haiku 4.5 or GPT-6 Luna?

Updated 2026-10-13

Choose Claude Haiku 4.5 if you want cheap, fast subtasks and subagents inside a larger workflow. Choose GPT-6 Luna if you want cheap, fast subtasks, routing and subagents in OpenAI-based stacks.

In our editorial scoring, GPT-6 Luna leads in 4 of five dimensions (output quality, agentic ability, speed and value for money), while Claude Haiku 4.5 leads in 1. On price, Claude Haiku 4.5 runs about $2.20 per 1M tokens (blended) and is proprietary; GPT-6 Luna is about $0.22 and proprietary.

Where Haiku 4.5 falls short
  • Quality well below Sonnet/Opus on hard tasks
  • 200K context, not 1M
Full Haiku 4.5 breakdown →
Where GPT-6 Luna falls short
  • Weak on long agentic runs (16.4% on Terminal-Bench 4.0)
  • Clear quality step below GPT-6.1 Sol
Full GPT-6 Luna breakdown →

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