Anthropic just released Claude 3.5 Haiku on their API, Amazon Bedrock, and Google Cloud’s Vertex AI. The standout feature? Its coding capabilities – it actually beats GPT-4o on SWE-bench Verified, which tests how models handle real software problems.
I’ve tested Haiku extensively over the past few days and its speed is impressive. While my previous write-up on [Few-Shot Prompting with Claude 3.5 Sonnet](https://adam.holter.com/few-shot-prompting-why-claude-3-5-sonnet-outshines-gpt-4o/) covered its bigger sibling, Haiku trades some raw power for faster responses and lower cost.
Speaking of cost – Anthropic raised prices to $1 for input and $5 for output tokens. That’s steeper than before but still way below GPT-4o. You can try it free on Poe right now if you want to test it yourself.
Looking at the benchmarks:
– 88.1% on HumanEval coding tests
– 83.1% on reasoning tasks
– Strong performance on math and multilingual problems
The most interesting part is how it stacks up against Claude 3 Opus – Haiku matches or beats it on several metrics while running much faster. For developers focused on coding tasks, this speed advantage could be huge for productivity.
Bottom line: If you need fast, accurate coding help and don’t require image processing, Haiku hits a sweet spot between capability and cost. The price increase isn’t ideal but the performance justifies it for many use cases.
I’ll be doing more hands-on testing and comparing it directly with [other models](https://adam.holter.com/claude-vs-chatgpt-part-5-five-key-features-claude-still-lacks/) in upcoming posts. Let me know in the comments what specific aspects you’d like me to explore.
