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.
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| 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.
Credit-based pay-per-use with token-settled billing. No monthly subscription. Paid credits never expire.
Replace multiple AI subscriptions with one wallet that includes routing, failover, and optimization.
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