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 | OpenAI o3-mini (Low)OpenAIRemove | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Discovery tier | Efficient | Efficient |
| Added | Oct 15, 2025 | Jan 31, 2026 |
| Limits | ||
| Context window | 200K | 200K |
| Max output | 64K | 100KBest |
| Pricing, USD per 1M tokens | ||
| Input | $1.00Best | $1.10 |
| Output | $5.00 | $4.40Best |
| Cache read | $0.10Best | $0.55 |
| Performance | ||
| Request success (24h) | 100.0% | — |
| Benchmark indexes | ||
| Intelligence Index | — | 12.5 |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | Yes | Yes |
| Vision | Yes | No |
| Structured output | Yes | Yes |
| PDF input | Yes | No |
| Reasoning effort | — | low, medium, high |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Claude Haiku 4.5
- OpenAI o3-mini (Low)
Intelligence Index
- Claude Haiku 4.5—
- OpenAI o3-mini (Low)12.5
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Claude Haiku 4.5: —
- OpenAI o3-mini (Low): 7.9%
GPQA Diamond
Graduate-level science questions
- Claude Haiku 4.5: —
- OpenAI o3-mini (Low): 74.8%
MMLU-Pro
Multi-subject knowledge and reasoning
- Claude Haiku 4.5: —
- OpenAI o3-mini (Low): 79.1%
Coding
LiveCodeBench
Recent competitive programming problems
- Claude Haiku 4.5: —
- OpenAI o3-mini (Low): 71.7%
Math
AIME
Competition mathematics
- Claude Haiku 4.5: —
- OpenAI o3-mini (Low): 77.0%
MATH-500
Competition math problems
- Claude Haiku 4.5: —
- OpenAI o3-mini (Low): 97.3%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Claude Haiku 4.5: —
- OpenAI o3-mini (Low): 6.8%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Claude Haiku 4.5: —
- OpenAI o3-mini (Low): 28.7%
Scores from Artificial Analysis, updated Oct 26, 2026.
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
Related models
Other Anthropic models, starting with the same family.