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# Anthropic's Claude Haiku 5.5 Matches GPT-6 Luna at 10 Cents per Million Input Tokens
- URL: https://www.implicator.ai/claude-haiku-5-5-matches-gpt-6-luna-pricing/
- Published: 2026-10-08T03:35:24.000Z
- Updated: 2026-10-08T03:35:24.000Z
- Description: Claude Haiku 5.5 matches GPT-6 Luna at $0.10 per million input tokens on short prompts, 90% below Haiku 4.5. Rates rise fivefold past 100,000 tokens, and independent tests show heavy token use.
- Author: Marcus Schuler
- Tags: AI News

Anthropic [released Claude Haiku 5.5](https://www.anthropic.com/claude-haiku-5-5?ref=implicator.ai) on Wednesday at $0.10 per million input tokens for prompts up to 100,000 tokens, the same rate OpenAI charges for GPT-6 Luna. The rate is 90% below Haiku 4.5 on those prompts, but Anthropic’s own estimate of the average saving is about 75%, once a tokenizer that counts roughly 30% more tokens for the same text is included. Anthropic is aiming it at high-volume work, including live customer support and browser use, and at subagent tasks handed down by Opus 5.5 and Sonnet 5.5.

What Changed

- Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 100,000 tokens, the same rate as GPT-6 Luna and 90% below Haiku 4.5.
- Above 100,000 tokens every rate multiplies by five, and a new tokenizer counts roughly 30% more tokens for the same text; Anthropic puts the average saving at about 75%.
- Artificial Analysis scored Haiku 5.5 at 43 on its Intelligence Index at maximum effort, ahead of Luna's 38, but found it used about three times Luna's output tokens per task.
- Anthropic still recommends Sonnet 5.5 and Opus 5.5 for complex agentic coding.

AI-generated summary, reviewed by an editor. [More on our AI guidelines](https://www.implicator.ai/about/).

## Pricing changes above 100,000 tokens

Output costs $0.50 per million tokens, compared with Haiku 4.5’s $5\. Haiku 4.5’s input rate is $1 per million tokens.

Above 100,000 tokens, [every rate multiplies by five](https://docs.claude.com/en/docs/about-claude/pricing?ref=implicator.ai). Input costs $0.50 and output $2.50 per million tokens. Cache reads rise from $0.01 to $0.05 per million tokens. Haiku 5.5 is the only current Claude model priced by prompt length.

Anthropic says about 90% of Haiku 4.5’s requests used prompts under 100,000 tokens. The new model’s context window grows from 200,000 to one million tokens, while its tokenizer counts approximately 30% more tokens for the same text. An existing prompt below the threshold may cross it after migration. The [migration guide](https://platform.claude.com/docs/en/models/haiku-5-5/migration-guide?ref=implicator.ai) lists breaking changes, including errors for manual extended thinking and non-default sampling parameters.

## Higher effort consumes more tokens

At maximum effort, Haiku 5.5 used roughly 162,000 output tokens per Intelligence Index task in Artificial Analysis’s launch testing, about three times GPT-6 Luna’s roughly 50,000 at the same output price, and more than Opus 5.5 at maximum effort.

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At high effort, Haiku scored 38 using about 55,000 output tokens per task. Luna reached the same score at maximum effort with about 50,000\. Output tokens are billed, so matching per-token prices does not mean matching cost per task.

Artificial Analysis’s cost figures do not yet reflect the tiered pricing. It plans cost-per-task coverage once its site supports tiered pricing.

## Anthropic's numbers and an independent test

The launch benchmark table and customer testimonials are supplied by Anthropic, and Artificial Analysis is so far the only independent tester.

At medium, the default effort setting, Haiku 5.5 scored about 20% in Anthropic’s launch chart on Terminal-Bench 4.0, which measures coding and terminal tasks. At maximum effort, it scored 39.2%, against Luna’s 16.4% and Sonnet 5.5’s 70.6%.

[Artificial Analysis’s independent testing](https://artificialanalysis.ai/models/releases/claude-haiku-5-5?ref=implicator.ai), available at launch, put Haiku at 33% on the same benchmark, against 20% for Gemini 3.8 Flash and 13% for Luna. Anthropic says Sonnet 5.5 and Opus 5.5 “remain better choices for complex agentic coding tasks like those measured by Terminal-Bench 4.0.”

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On the firm’s Intelligence Index, Haiku 5.5 reached 43 at maximum effort, up from Haiku 4.5’s 17 a year earlier. That placed it five points above Luna’s 38, one point behind Moonshot AI’s Kimi K3 and 13 behind Sonnet 5.5 at maximum effort.

Haiku 5.5 was the least accurate of the three on Artificial Analysis’s factual-knowledge test yet hallucinated least, because it was more willing to admit it did not know. On AA-Omniscience in the firm’s launch evaluation, its factual accuracy was 36%, below Gemini 3.8 Flash’s 55% and Luna’s 44%. Its hallucination rate was 40%, against 55% for Gemini and 77% for Luna.

Claude Haiku 5.5

Where Haiku is really good

- **Repetitive document work:** Anthropic recommends summaries, compaction, classification and database queries. AlphaSense tested it on a feature handling about eight million calls a week.
- **Subagent retrieval:** In an example Rogo supplied, Haiku retrieves a revenue figure for one slide while a larger model assembles the presentation. “It's accurate enough that we'd trust it there and fast and cheap enough that we can run it a lot,” said Alex Wang, who works in applied AI at Rogo.
- **Computer and browser use:** In Anthropic’s launch tests, Haiku scored 72.4% on OSWorld 2.1’s offline subset, against Luna’s 48.9%. SDK support is in beta.
- **Knowledge work:** Artificial Analysis’s launch evaluation gave Haiku 1,578 Elo on AA-Briefcase, which measures realistic knowledge-work tasks, statistically level with the far larger and costlier GPT-6 Astra at maximum effort and Claude Fable 5.1 at high effort.
- **Quick coding edits:** GitHub’s early testing found Haiku matched the previous-generation Claude Sonnet 5 on many coding tasks with significantly fewer tokens and steps.
- **Where it is not:** Anthropic recommends Sonnet 5.5 or Opus 5.5 for complex agentic coding, prompts over 100,000 tokens pay five times the rate, and maximum effort consumes many output tokens.

## Availability and developer changes

Haiku is available on the Claude Platform, AWS, Google Cloud, Microsoft Azure and [GitHub Copilot](https://github.blog/changelog/2026-10-07-claude-haiku-5-5-in-github-copilot/?ref=implicator.ai). Anthropic added computer-use and browser-use support in beta to its Python and TypeScript SDKs.

Wednesday’s launch also halves Sonnet 5.5 cache-read prices from $0.20 to $0.10 per million tokens, which Anthropic estimates makes most agentic work on Sonnet 5.5 about 20% cheaper. Monthly API credits roll out this week: $100 for Max 5x, $200 for Max 20x and up to $500 pooled for Team subscribers.

## One weak result

Haiku scored 35% on AutomationBench-AA, against 53% to 60% for GPT-6 Luna, Gemini 3.8 Flash and GLM-5.3 Flash. Artificial Analysis says a safety refusal issue during pre-release testing caused the model to over-refuse. Anthropic is working on a fix, and Artificial Analysis will re-run the test once it lands.

Frequently Asked Questions

How much does Claude Haiku 5.5 cost?

For prompts up to 100,000 tokens, $0.10 per million input tokens and $0.50 per million output tokens. Above 100,000 tokens, input costs $0.50 and output $2.50 per million tokens, and cache reads rise from $0.01 to $0.05.

Is Haiku 5.5 cheaper than GPT-6 Luna?

Not per token. Its short-prompt rates match GPT-6 Luna. Artificial Analysis found Haiku 5.5 used roughly 162,000 output tokens per Intelligence Index task at maximum effort, about three times Luna's roughly 50,000, so cost per task can differ.

Why does Anthropic estimate a 75% saving instead of 90%?

The 90% cut applies to prompts up to 100,000 tokens. Anthropic's 75% average also accounts for request sizes and a new tokenizer that counts approximately 30% more tokens for the same text than Haiku 4.5.

What is Haiku 5.5 good at?

Anthropic recommends it for summaries, compaction, classification, database queries and subagent tasks. In Anthropic's tests it scored 72.4% on the OSWorld 2.1 offline subset, against Luna's 48.9%. Anthropic recommends Sonnet 5.5 or Opus 5.5 for complex agentic coding.

Where is Claude Haiku 5.5 available?

On the Claude Platform, AWS, Google Cloud, Microsoft Azure and GitHub Copilot. Anthropic also added computer-use and browser-use support in beta to its Python and TypeScript SDKs.

AI-generated summary, reviewed by an editor. [More on our AI guidelines](https://www.implicator.ai/about/).

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