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Model details

Claude Haiku 4.5 (20251001)

Claude Haiku 4.5 20251001 sits in the claude-haiku family as Anthropic's lighter-weight reasoning model, designed for complex multi-step problem solving where accuracy matters more than raw speed. The Inworld listing describes it as a reasoning-capable model that pairs that reasoning with vision, function calling, web search, prompt caching, and structured output, making it well suited to agentic workflows and tool-using assistants that need to ground their answers in retrieved or external information. A 200,000-token context window with up to the cataloged API limit tokens of output gives it enough room for long documents, multi-turn dialogues, and chained tool calls without aggressive truncation, while keeping per-token pricing low.

In practical terms, Haiku 4.5 is the family member to reach for when latency and request volume matter more than maximum reasoning depth, such as real-time chat, large-batch classification, or high-traffic customer-facing assistants. The gptproto positioning guide frames it exactly that way, recommending it for high-volume workloads and reserving larger siblings for harder capability-sensitive tasks. Through the Inworld Router the model can be invoked with OpenAI SDK compatibility, built-in failover, and intelligent routing across providers, which simplifies integration for teams that want Claude-quality reasoning without committing to a single endpoint. The combination of broad context, vision input, and a strong tool-use feature set makes Haiku 4.5 a flexible workhorse for production deployments that need to balance cost, throughput, and answer quality.

Merge Gatewayanthropic/claude-haiku-4-5-20251001claude-haiku

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Merge Gateway
Model key
anthropic/claude-haiku-4-5-20251001
Release date
Oct 15, 2025
Last updated
Oct 15, 2025
Knowledge cutoff
2025-02-28
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.00
Output token cost
$5.00

Limits

Output tokens
64,000 tokens
Context window
200,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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