Standard Compute
Model Comparison 2026

Claude Haiku 4.5 vs GPT-5.6 Luna

Claude Haiku 4.5
Anthropic · Budget · Proprietary
$2.20/1M · 200K ctx
GPT-5.6 Luna
OpenAI · Budget · Proprietary
$1.25/1M · 1.1M ctx

Community Vote

Pick a winner in each dimension — change your vote anytime. 1 votes cast so far.

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
Haiku 4.5 100%0% Luna
Value for $
How much capability you get per dollar
Reliability
Consistent results — fewer refusals, loops, and format breaks

Specs & Pricing, Side by Side

Spec
Haiku 4.5
Luna
Maker
Anthropic
OpenAI
Blended price / 1M
$2.20
$1.25
Input / output
$1.00 in · $5.00 out / 1M tokens
$0.50 in · $3.00 out / 1M tokens
Context window
200K
1.1M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.2
8.4
Agentic Ability
8.2
8.3
Speed
9.0
9.3
Value for $
8.3
9.0
Reliability
9.3
9.1

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

Verdict: Haiku 4.5 or Luna?

Updated 2026-08-02

Choose Claude Haiku 4.5 if you want cheap, fast subtasks and subagents inside a larger workflow. Choose GPT-5.6 Luna if you want cheap, fast subtasks, routing, and subagents in OpenAI-based stacks.

In our editorial scoring, GPT-5.6 Luna leads in 4 of five dimensions (output quality, agentic ability, speed and value for $), 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-5.6 Luna is about $1.25 and proprietary.

Across 1 community votes on this matchup, Claude Haiku 4.5 currently leads in 1 of five dimensions. Cast your own vote above to move the needle.

Where Haiku 4.5 falls short
  • Quality well below Sonnet/Opus on hard tasks
  • 200K context, not 1M
Full Haiku 4.5 breakdown →
Where Luna falls short
  • Clear quality step below Terra and Sol
  • Very new — behavior under long agent chains still settling
Full Luna breakdown →

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