SSyncDev

AI model comparison

Claude Haiku 4.5 vs Claude Haiku 5.5

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

Compare Claude Haiku 5.5 with Claude Haiku 4.5 for the task you actually need to complete. Haiku 5.5 is positioned for extraction, classification, routing and narrowly scoped agent work. A migration from Haiku 4.5 also changes the tokenizer and thinking controls; replay real documents before estimating the new bill.

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 4.5

Claude Haiku 4.5 from Anthropic: Fast Claude model for responsive assistance, classification, and lightweight agents.

Context
200K
Max output
64K
Input / 1M tokens
$1.00
Output / 1M tokens
$5.00

Accepts

  • Text input
  • Image input
  • PDF input

Produces

  • Text output
Full model profilegithub.com ↗
VS

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 ↗

At a glance

Key differences

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

Claude Haiku 5.5

  • Context capacity: 1M
  • Maximum output: 128K

Context capacity

Higher listed limit

Claude Haiku 4.5:200K

Claude Haiku 5.5:1M

Claude Haiku 5.5

Maximum output

Higher listed limit

Claude Haiku 4.5:64K

Claude Haiku 5.5:128K

Claude Haiku 5.5

Specifications

Pricing, limits and capabilities

Specifications for Claude Haiku 4.5 and Claude Haiku 5.5. Higher limits and lower prices describe these figures only.
SpecificationClaude Haiku 4.5Claude Haiku 5.5
ProviderAnthropicAnthropic
Listed pricing routeAnthropicAnthropic
Model familyclaude-haikuclaude-haiku
Accepted inputstext, image, pdftext, image, pdf
Produced outputstexttext
Context window200K1MHigher
Max output64K128KHigher
Input price / 1M$1.00From $0.10
Output price / 1M$5.00From $0.50
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryProprietary

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.

Compare a different pair

Search by model or provider to explore another comparison.

Open model comparison