Claude Haiku 4.5 vs Claude Opus 4.7
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 Claude Opus 4.7.
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...
Claude Opus 4.7
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
Technical Specifications
| Specification | Claude Haiku 4.5 | Claude Opus 4.7 |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Context Window | 200,000 tokens | 1,000,000 tokens |
| Agent Suitability | 87/100 | 96/100 |
| Time to First Token (TTFT) | 180 ms | 480 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-10-15 | 2026-04-16 |
API Pricing Comparison
Input Price per Million Tokens
Claude Haiku 4.5
$1.00
Claude Opus 4.7
$5.00
Output Price per Million Tokens
Claude Haiku 4.5
$5.00
Claude Opus 4.7
$25.00
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
Claude Opus 4.7 Quirks & Gotchas
- ▸Top-tier agentic coding model — excels at autonomous software engineering
- ▸Requires explicit tool_choice parameter for parallel function calling to work reliably