Anthropic
Claude Haiku 4.5
model
claude-haiku-4-5MidStableVisionStreamingVisionToolsBatchLong contextUnited States
Context
200K
Input / 1M tokens
$1.00
Output / 1M tokens
$5.00
Cached input / 1M tokens
$0.2350
Cache write / 1M tokens
$1.25
About this model
Claude Haiku 4.5
Claude Haiku 4.5 — Anthropic's fastest + cheapest. Speed-optimized for high-throughput chat, classification, and real-time UX while preserving Anthropic's safety + alignment tuning.
Key facts
- Maker
- Anthropic
- Context window
- 200K tokens
- Max output
- 64K tokens
- Lane
- Guarded: the provider has confirmed it does not train on your data
- Modality
- Text and image input
- Input price
- $1.00 per 1M tokens
- Output price
- $5.00 per 1M tokens
- Processing region(s)
- us
- Route
- Via Anthropic's API
- Cheapest plan
- Available from the Pro plan
- Price comparison
- Priced below 82 of 256 pro-band guarded models on Anoman (blended price: 1 part input to 3 parts output).
Released
2024-12
Training cutoff
2024-11
Parameters
Not disclosed
Ways to call
Ways to call Claude Haiku 4.5
Each model ID below is callable through the Anoman AI API. Price and processing region depend on the route.
| Model ID | Route | Input / output per 1M tokens | Region(s) | Lane | Context |
|---|---|---|---|---|---|
| claude-haiku-4-5 | Via Anthropic's API | $1.00 / $5.00 | us | Guarded | 200K |
| claude-haiku-4-5-openrouter | Via OpenRouter | $1.00 / $5.00 | global | Guarded | 200K |
Best for
Use cases
- High-volume customer chat
- Classification + routing
- Real-time voice agent backbone
- Cheap-tier model for cost-sensitive tiers
Strengths
What it does well
- Sub-second TTFT typical
- Strong instruction-following for the size class
- 200K context window
- Same safety tuning as Sonnet/Opus
Limitations
Know the trade-offs
- Reasoning depth limited vs Sonnet
- Code generation trails Qwen 2.5 Coder
- Long-document comprehension weaker on tasks past 50K tokens
Code example
Chat completion with Claude Haiku 4.5
from openai import OpenAI
client = OpenAI(
base_url="https://api.anoman.io/v1",
api_key="anm-sk-..."
)
response = client.chat.completions.create(
model="claude-haiku-4-5",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Alternatives
Similar models in our catalog
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