Claude Haiku 5.5 is Anthropic’s next-generation product, designed for high-throughput, cost-sensitive tasks. It can reliably handle fast and repetitive workloads such as summarization, context compression, database queries, and classification requests. It is also well suited to be used as a sub-agent model in programming workflows alongside Opus 5.5 and Sonnet 5.5.
Pricing
Input Modalities
- Text
- Vision
Output Modalities
- Text
Context length
- 1M tokens
Max output
- 128K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Document input
- PDF input
- Structured outputs
- Structured decision
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
AWS claude-haiku-5-5
TierInput<=100K
Pricing$0.1$0.5
Cache Read$0.01/M tokens
Web Search$0.01/request
Cache Write$0.125/M tokens
Cache Write 5 Minutes$0.125/M tokens
Cache Write 1 Hour$0.2/M tokens
Tier100K<Input
Pricing$0.5$2.5
Cache Read$0.05/M tokens
Web Search$0.01/request
Cache Write$0.625/M tokens
Cache Write 5 Minutes$0.625/M tokens
Cache Write 1 Hour$1/M tokens
PrecisionⓘNot Disclosed
Latency2.7S
Throughput100.3TPS
Uptime
99.99% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
VertexAI claude-haiku-5-5
TierInput<=100K
Pricing$0.1$0.5
Cache Read$0.01/M tokens
Web Search$0.01/request
Cache Write$0.125/M tokens
Cache Write 5 Minutes$0.125/M tokens
Cache Write 1 Hour$0.2/M tokens
Tier100K<Input
Pricing$0.5$2.5
Cache Read$0.05/M tokens
Web Search$0.01/request
Cache Write$0.625/M tokens
Cache Write 5 Minutes$0.625/M tokens
Cache Write 1 Hour$1/M tokens
PrecisionⓘNot Disclosed
Latency0.6S
Throughput187.4TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Performance for claude-haiku-5-5
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Throughput
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