SSyncDev

AI model comparison

Claude Haiku 5.5 vs GPT-6 Luna

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

Compare Claude Haiku 5.5 with GPT-6 Luna for the task you actually need to complete. Haiku 5.5 is positioned for extraction, classification, routing and narrowly scoped agent work. GPT-6 Luna is also positioned for high-volume, cost-sensitive work, making this a useful comparison of interface behavior and accepted results.

Check whether each model can hold the input and tool results your workflow needs before comparing the token rates.

Haiku’s starting price applies to prompts with no more than 100K input tokens. Longer prompts have different rates. The figures below identify recorded routes; compare a complete run, including reasoning, tools and retries.

Side-by-sideCapabilities and practical differences

Anthropic

Claude Haiku 5.5

Claude’s small model for high-volume extraction, classification and routing, with adaptive thinking and a 1M-token context window.

Context
1M
Max output
128K
Input / 1M tokens
From $0.10
Output / 1M tokens
From $0.50

Pricing conditions: Starting rates apply to prompts of 100K input tokens or fewer. Longer prompts cost $0.50/M input and $2.50/M output. Token counts change with the newer tokenizer.

Accepts

  • Text input
  • Image input
  • PDF input

Produces

  • Text output
Full model profileplatform.claude.com ↗
VS

OpenAI

GPT-6 Luna

GPT-6 Luna is OpenAI's lower-cost GPT-6 option for text and image tasks that return text.

Context
1.05M
Max output
128K
Input / 1M tokens
$0.10
Output / 1M tokens
$0.50

Accepts

  • Text input
  • Image input

Produces

  • Text output
Full model profiledevelopers.openai.com ↗

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

GPT-6 Luna

  • Context capacity: 1.05M

Context capacity

Higher listed limit

Claude Haiku 5.5:1M

GPT-6 Luna:1.05M

GPT-6 Luna

Maximum output

Higher listed limit

Claude Haiku 5.5:128K

GPT-6 Luna:128K

Same value

Specifications

Pricing, limits and capabilities

Specifications for Claude Haiku 5.5 and GPT-6 Luna. Higher limits and lower prices describe these figures only.
SpecificationClaude Haiku 5.5GPT-6 Luna
ProviderAnthropicOpenAI
Listed pricing routeAnthropicOpenAI
Model familyclaude-haikuGPT-6
Accepted inputstext, image, pdftext, image
Produced outputstexttext
Context window1M1.05MHigher
Max output128K128K
Input price / 1MFrom $0.10$0.10
Output price / 1MFrom $0.50$0.50
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseProprietaryProvider terms

Workload guidance

Which model should you choose?

Choosing for repeated work

Start with the smaller route on extraction and routing tasks with objective acceptance rules. Compare the errors against the cost of retrying or sending the case to a stronger model. Use a held-out set with missing information and ambiguous cases.

For longer agent runs, count finished tasks and required corrections, not just the quality of the first reply. Keep the same tools and input material, and set thinking effort deliberately. Haiku 5.5’s prompt-size tiers and newer tokenizer need to be included in the cost estimate. SyncDev has not independently benchmarked these two models against each other.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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