Claude Haiku
Claude Haiku is the lightweight variant of Anthropic's Claude large language model series, designed for application scenarios with high requirements for response speed and resource efficiency. Compared with other models in the same series, Haiku maintains fundamental natural language understanding and generation capabilities while offering low inference latency and reduced deployment costs, making it suitable for real-time interaction, high-concurrency requests, and edge computing scenarios.
Core Facts
Products such as OpenAI's GPT-4o mini and Anthropic's Claude 3.5 Haiku are following a similar path of lightweight, high-efficiency models.
The Claude model family is generally divided into three tiers: Haiku, Sonnet, and Opus.
The Opus series, together with Sonnet (balanced) and Haiku (lightweight), form Anthropic's three-tier product matrix
Timeline (last 90 days)
Haiku corresponds to speed priority, Sonnet to balance, and Opus to the strongest reasoning capability.
Under the same subscription, using large models such as Opus consumes faster than using Sonnet or Haiku.
At the analytically derived break-even probability of 0.80, seven prompting configurations chose to abstain on all tickets, while Haiku few-shot routed only 19/1,000.
The performance degradation caused by lost formatting cues is reproducible across six answer models, covering five models across the Claude Opus, Sonnet, and Haiku tiers plus OpenAI's GPT-5.6.
Loopkeeper uses the Claude Haiku model for message triage, information extraction, and question answering, and can recognize Nigerian English and mild Pidgin.
In Claude API calls, Haiku, Sonnet, and Opus share the same set of interfaces, and developers can switch according to task complexity without changing the business code structure.
Anthropic isolates rate limits by model series, so Claude 3.5 Sonnet requests use a different bucket from Haiku or Opus.
Claient uses the Claude Haiku model by default, with product pricing at €49/month, and under the premise of a direct Meta Cloud API connection with service conversations free within 24 hours, the platform cost per customer is about €0.
The Claude series of models is divided into three tiers: Haiku (lightweight, fast, cheap), Sonnet (balanced), and Opus (most powerful, most expensive), with naming continuing the poetic genre.
Claude allocates different usage quotas by subscription tier (Free, Pro, Max), with Opus consuming the fastest and Haiku the slowest; standalone features such as Claude Code and Design often have separate usage pools calculated independently from regular conversations.
23 more timeline events
All Facts (20)
Products such as OpenAI's GPT-4o mini and Anthropic's Claude 3.5 Haiku are following a similar path of lightweight, high-efficiency models.
90%VerifiedThe Claude model family is generally divided into three tiers: Haiku, Sonnet, and Opus.
75%VerifiedThe Opus series, together with Sonnet (balanced) and Haiku (lightweight), form Anthropic's three-tier product matrix
75%VerifiedGoogle's Gemini Flash, Anthropic's Claude Haiku, and similar models all belong to the Flash-series paradigm that reduces inference cost and latency through techniques such as model distillation, architectural simplification, or MoE.
65%VerifiedThe Claude 3 series uses Haiku, Sonnet, and Opus to name different capability tiers
65%VerifiedWithin Anthropic's product line, the Opus series focuses on the strongest reasoning capability, the Haiku series focuses on being lightweight and fast, and the Sonnet series strikes a balance between the two.
65%UnverifiedLightweight models like Claude Haiku are 10-50x cheaper than top-tier models
75%UnverifiedThe Gemini Flash series faces direct competition from OpenAI's GPT-4o-mini and Anthropic's Claude Haiku.
60%UnverifiedAnthropic's model product line forms a three-tier structure of Haiku → Sonnet → Opus
60%UnverifiedHaiku corresponds to speed priority, Sonnet to balance, and Opus to the strongest reasoning capability.
50%UnverifiedUnder the same subscription, using large models such as Opus consumes faster than using Sonnet or Haiku.
50%UnverifiedAt the analytically derived break-even probability of 0.80, seven prompting configurations chose to abstain on all tickets, while Haiku few-shot routed only 19/1,000.
50%UnverifiedThe performance degradation caused by lost formatting cues is reproducible across six answer models, covering five models across the Claude Opus, Sonnet, and Haiku tiers plus OpenAI's GPT-5.6.
50%UnverifiedLoopkeeper uses the Claude Haiku model for message triage, information extraction, and question answering, and can recognize Nigerian English and mild Pidgin.
50%UnverifiedIn Claude API calls, Haiku, Sonnet, and Opus share the same set of interfaces, and developers can switch according to task complexity without changing the business code structure.
50%UnverifiedAnthropic isolates rate limits by model series, so Claude 3.5 Sonnet requests use a different bucket from Haiku or Opus.
50%UnverifiedThe Claude series of models is divided into three tiers: Haiku (lightweight, fast, cheap), Sonnet (balanced), and Opus (most powerful, most expensive), with naming continuing the poetic genre.
50%UnverifiedClaude Opus excels at complex logical reasoning and deep programming tasks but consumes the most resources; Sonnet is suited to general writing scenarios; Haiku targets lightweight tasks with faster response times.
50%UnverifiedBy delegating large-file reading to a Haiku sub-agent, having Sonnet read the full file itself costs 14 cents, while delegating to Haiku costs only 2 cents—7 times cheaper.
50%UnverifiedFor the same failing test fix, Haiku costs only about one-sixth of a cent—17 times cheaper than Sonnet—and completes in 6 seconds (compared to 10 seconds for Sonnet).
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