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Model comparison
Anthropic's Claude Haiku 5.5 against OpenAI's GPT-5.6 Luna: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.
Claude Haiku 5.5 lists at $0.2 per million tokens blended against $0.45 for GPT-5.6 Luna - 2.3x less.
GPT-5.6 Luna scores 37 on the intelligence index against 36 - 1 points apart.
GPT-5.6 Luna reads 1.1M tokens at once, Claude Haiku 5.5 1M.
Claude Haiku 5.5 was released about 3 months later.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | Claude Haiku 5.5 | GPT-5.6 Luna |
|---|---|---|
| Input price / 1M tokens | $0.10 | $0.20 |
| Output price / 1M tokens | $0.50 | $1.20 |
| Blended (3 in : 1 out) | $0.20 | $0.45 |
| Cached input / 1M | $0.01 | $0.02 |
| Context window | 1M | 1.1M |
| Max output | 128K | 128K |
| Input | text, image, file | file, image, text |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 36 | 37 |
| Coding index | - | 71 |
| Agentic index | - | 42 |
| Released | Oct 7, 2026 | Jul 9, 2026 |
| Available on this deployment |
List price times tokens for three typical workloads; your mix of input and output decides which model's pricing suits you.
| Workload | Claude Haiku 5.5 | GPT-5.6 Luna | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $4.50 | $10.00 | $5.50 less on Claude Haiku 5.5 |
| Document summaries100M in, 5M out - long inputs, short answers. | $12.50 | $26.00 | $13.50 less on Claude Haiku 5.5 |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $16.00 | $36.00 | $20.00 less on Claude Haiku 5.5 |
Claude Haiku 5.5 takes the short and general requests - at $0.2 blended it is the default - and GPT-5.6 Luna the ones whose complexity or quality floor rules the cheaper model out. The split is per request, not per app, and every decision carries the scores for both.
# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry)
targets:
- { id: claude-haiku-5.5, kind: llm, metadata: { model: anthropic/claude-haiku-5.5 } }
- { id: gpt-5.6-luna, kind: llm, metadata: { model: openai/gpt-5.6-luna } }
# rules.yaml - the cheaper model by default, the stronger one when the request is hard
rules:
- name: simple-requests-stay-cheap
when: { max_complexity: 0.45 }
prefer: [claude-haiku-5.5]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [gpt-5.6-luna]
weight: 0.8Every Anthropic and OpenAI model, with prices, is on the vendor pages; the rankings show what the router actually picks.