Anthropic · Efficient
Claude Haiku 4.5
Claude Haiku 4.5 matches Sonnet 4's coding quality while running about twice as fast at roughly one-third the price, making it ideal for low-latency chat assistants, support bots, and pair programming. Pair it with Sonnet 4.5 to plan complex work and fan out execution across parallel Haiku workers.
- Tools
- Vision
- Structured output
- PDF input
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $1.00
- Output
- $5.00
- Cache read
- $0.10
Reference prices as published by the model provider. API example
Specifications
- Context window
- 200K
- Max output
- 64K
Side by side
Claude Haiku 4.5 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Claude Haiku 4.5AnthropicThis model | Abliterated Large FlashabliterationRemove | |
|---|---|---|
| Provider | Anthropic | abliteration |
| Discovery tier | Efficient | Efficient |
| Added | Oct 15, 2025 | Oct 23, 2026 |
| Limits | ||
| Context window | 200K | 1.05MBest |
| Max output | 64K | 262.14KBest |
| Average output | — | 1.1K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.00 | $1.00 |
| Output | $5.00 | $2.00Best |
| Cache read | $0.10 | $0.10 |
| Performance | ||
| Throughput | — | 273.1 tok/s |
| Time to first token | — | 4.3 s |
| Request success (24h) | 100.0%Best | 98.9% |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| PDF input | Yes | No |
| Parallel tools | No | Yes |
| Reasoning effort | — | none, minimal, low, medium, high, xhigh, max |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Prompt cache hits
- 83.2%
- About $0.25 per 1M input tokens with caching
- Request success (24h)
- 100.0%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic/claude-haiku-4.5",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="anthropic/claude-haiku-4.5",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Anthropic
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