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Model details
Anthropic: Claude 4.5 Haiku (20251001)
Claude Haiku 4.5 marks a meaningful step forward in Anthropic's lightweight model line, engineered to deliver near-frontier reasoning and coding ability without the latency and cost overhead of larger systems. Its design philosophy centers on pairing speed with structured intelligence—enabling fast, reliable task completion while supporting extended thinking, controllable reasoning depth, and tool-assisted workflows. The architecture makes it particularly well-suited for real-time applications, sub-agent orchestration, and high-volume deployments where consistent performance matters more than raw computational firepower. By matching Claude Sonnet 4's performance on key reasoning and coding benchmarks, Haiku 4.5 brings frontier-level capability to production environments that demand both responsiveness and accuracy.
While Anthropic keeps the specific technical recipe proprietary, evidence points to a model refined through rigorous benchmark-driven optimization, with strong performance on SWE-bench Verified, mathematics, and general knowledge tasks. The development lineage prioritizes reliability—achieving perfect scores on truthfulness and ethics benchmarks while maintaining a 100% success rate across evaluations with minimal technical failures. This combination of high utility and operational stability positions Haiku 4.5 as a practical choice for developers building agentic systems, parallelized pipelines, and scaled AI workflows where predictable, near-frontier performance is essential.
Quick Info
Powered by- Provider
- Helicone
- Model key
- claude-haiku-4-5-20251001
- Release date
- Oct 1, 2025
- Last updated
- Oct 1, 2025
- Knowledge cutoff
- 2025-10
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $1.00
- Output token cost
- $5.00
Limits
- Output tokens
- 8,192 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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