Not every task needs a frontier model. We compare Anthropic's ultra-fast budget option against OpenAI's flagship to help you decide when to splurge and when to save. Try both in LLMWise Compare mode.
Free preview, Starter for the Auto lane, Teams for manual GPT, Claude, and Gemini Pro access. Add-on credits kick in after included plan tokens are used.
Start on cheap auto-routed models first, then move up only when your workload truly needs premium manual control.
Dimension-level scoring across production concerns to make model selection auditable.
| Dimension | Claude Haiku 4.5 | GPT-5.2 | Edge |
|---|---|---|---|
| Speed | Claude Haiku 4.5 is blazing fast, with sub-100ms time-to-first-token and extremely high throughput, making it one of the fastest models available from any provider. | GPT-5.2 is reasonably quick for a frontier model but is significantly slower than Haiku, particularly on shorter prompts where Haiku's speed advantage is most pronounced. | |
| Cost | Claude Haiku 4.5 is priced for volume, costing a small fraction of what frontier models charge per token. It is ideal for applications processing millions of requests. | GPT-5.2 is 10-20x more expensive per token than Haiku. The cost difference makes Haiku the obvious choice for any task where it delivers acceptable quality. | |
| Coding | Claude Haiku 4.5 handles straightforward coding tasks like boilerplate generation, simple scripts, and code formatting surprisingly well for its size and speed. | GPT-5.2 is significantly stronger at complex coding tasks, multi-file refactors, and architectural decisions that require deep understanding of the codebase. | |
| Creative Writing | Claude Haiku 4.5 can produce coherent short-form content but lacks the depth, creativity, and tonal range that frontier models bring to longer creative pieces. | GPT-5.2 is dramatically better at creative writing, producing richer, more engaging content with natural variation in style and structure. | |
| Analysis | Claude Haiku 4.5 is good at straightforward extraction, classification, and summarization tasks but struggles with nuanced analysis that requires deep reasoning. | GPT-5.2 provides much deeper analysis with better handling of ambiguity, multiple perspectives, and complex multi-step reasoning chains. | |
| Context Handling | Claude Haiku 4.5 supports a generous context window and maintains solid recall for its tier, though it cannot match frontier models on needle-in-a-haystack retrieval. | GPT-5.2 handles large contexts with better information retrieval and less degradation as input length grows, making it more reliable for document-heavy tasks. | |
| When to Choose | Choose Haiku for high-volume, latency-sensitive tasks: classification, routing, extraction, formatting, simple Q&A, and any pipeline where speed and cost matter more than peak quality. | Choose GPT-5.2 for tasks where output quality directly impacts the end user: creative content, complex problem-solving, detailed analysis, and customer-facing interactions. | tie |
This is not really a competition between equals. Claude Haiku 4.5 and GPT-5.2 serve different roles. Haiku is the workhorse for high-volume, cost-sensitive tasks where speed matters most. GPT-5.2 is the specialist for quality-critical work. The smartest approach is to use both: route simple tasks to Haiku and escalate complex ones to GPT-5.2. LLMWise makes this routing trivial.
Use LLMWise Compare mode to test both models on your own prompts in one API call.
Free preview, Starter for the Auto lane, Teams for manual GPT, Claude, and Gemini Pro access. Add-on credits kick in after included plan tokens are used.
Start on cheap auto-routed models first, then move up only when your workload truly needs premium manual control.
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