Claude Haiku 4.5 vs o1
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Haiku 4.5 and o1.
Claude Haiku 4.5
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
Technical Specifications
| Specification | Claude Haiku 4.5 | o1 |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Context Window | 200,000 tokens | 200,000 tokens |
| Agent Suitability | 87/100 | 88/100 |
| Time to First Token (TTFT) | 180 ms | 2500 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-10-15 | 2024-12-17 |
API Pricing Comparison
Input Price per Million Tokens
Claude Haiku 4.5
$1.00
o1
$15.00
Output Price per Million Tokens
Claude Haiku 4.5
$5.00
o1
$60.00
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Claude Haiku 4.5 Quirks & Gotchas
- ▸Fastest TTFT in the Claude lineup — ideal for real-time chat
- ▸Tool calling limited compared to Sonnet — best for simple classification and routing
o1 Quirks & Gotchas
- ▸Reasoning model — high latency by design, not for real-time use
- ▸Best for complex math/code reasoning where accuracy > speed
- ▸Use o3-mini when you need reasoning with lower latency