TopicClaude 5.5 models
Claude Haiku 5.5 vs GPT-6 Instant: Lightweight Speed Models Compared
In the same week of October 7, Anthropic and OpenAI priced their small models into the same tier: $0.10 input, $0.50 output per million tokens. Their price structures, speed claims and benchmark framing differ completely.

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Compare published: Claude Haiku 5.5 vs GPT-6 Instant — pricing, windows, speed and benchmarks compared.
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Side by side
✓ marks the side that wins the row| Item | Claude Haiku 5.5 | GPT-6 Instant |
|---|---|---|
| Price (headline tier) | $0.10 input / $0.50 output per 1M tokens (prompts up to 100K tokens) | $0.10 input / $0.50 output per 1M tokens (published GPT-6 Luna-tier API price) |
| Long-prompt pricing | $0.50/$2.50 past 100K prompt tokens, about 5x the headline tier | Published pricing covers up to 272K input tokens, no tiered increase✓ |
| Context window | 1M tokens, 128K max output✓ | 272K input tokens (Luna-tier API pricing) |
| Speed claim | Vendor says fastest small model to date at standard speed (qualitative) | Starts web-search answers 44% faster on average than GPT-5.6 Instant (OpenAI internal testing, vendor-reported) |
| Benchmarks (vendor-reported) | OSWorld 2.1: 72.4% vs GPT-6 Luna 48.9%; Terminal-Bench 4.0: 39.2% vs 16.4% (Anthropic official table) | Extra High reasoning tier matches GPT-5.6 Medium speed on common agentic tasks (OpenAI internal testing) |
| Free tier | Available on Claude's free tier (per Anthropic) | ChatGPT Free/Go on GPT-6 Luna since Oct 8 |
Verdict
Verdict: for high-volume short-text jobs kept under 100K tokens, Haiku 5.5's $0.10 tier is directly usable, but the rate quintuples past the cliff; longer prompts favor GPT-6's 272K-token coverage; web-search Q&A that values time-to-first-token and in-chat interactive UI favors GPT-6 Instant; both vendors' benchmarks are self-reported, so test on your own workload before choosing.
01What they are
Anthropic released Claude Haiku 5.5 on October 7 for high-volume, cost-sensitive tasks such as summarization, classification, database queries and agent subtasks; the same day, OpenAI rolled GPT-6 out to all ChatGPT users, with the Instant tier aimed at starting answers to web-search questions faster.
Both are publicly priced in the same tier: $0.10 per million input tokens and $0.50 per million output tokens (Haiku 5.5 caps the rate at prompts up to 100K tokens; GPT-6's figure is the published Luna-tier API price).
Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we've ever released.
Translation:介绍 Claude Haiku 5.5:Anthropic 发布过的最便宜、最快、能力最强的小模型。
View on Blog →02Head-to-head
The table below places the two side by side on pricing structure, context window, speed claims and published benchmarks: all benchmark figures are vendor-reported, and no independent head-to-head test exists yet.
03Key facts
- Release and availability: Haiku 5.5 launched October 7 with model ID claude-haiku-5-5 and is available on Claude's free tier; GPT-6 rolled out to paid users October 7 and to Free and Go users (Luna tier) October 8.
- Pricing structure: Haiku 5.5 costs $0.50/$2.50 past 100K prompt tokens, about 5x the headline tier, with $0.01 cache reads; GPT-6's Luna-tier API pricing covers up to 272K input tokens.
- Context window: Haiku 5.5 offers a 1M-token context window with 128K max output; GPT-6's Luna-tier API supports up to 272K input tokens.
- Benchmarks (vendor-reported): In Anthropic's official table, Haiku 5.5 scores 72.4% on the OSWorld 2.1 offline subset vs 48.9% for GPT-6 Luna, and 39.2% vs 16.4% on Terminal-Bench 4.0. OpenAI says GPT-6 Instant starts answering web-search questions 44% faster on average than GPT-5.6 Instant, and that its Extra High reasoning tier matches GPT-5.6's Medium tier speed on common agentic tasks.
- No independent testing: No third party has published head-to-head speed or benchmark results for the two; press coverage notes all figures in Anthropic's table come from the vendor with no independent reproduction yet.
Why it matters
both small models were priced into the same tier in the same week of October 7, so model selection now faces near-identical prices with different price structures and speed dimensions.
SourcesAnthropic (2026-10-07, source); TechRepublic (2026-10-09, source); NotebookCheck (2026-10-09, source); DigitalToday (2026-10-08, source); Cryptopolitan (2026-10-08, source); AI Weekly (2026-10-07, source). Compiled from public information; not investment advice.
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