Claude 3.5 Haiku vs GPT-3.5 Turbo 16k
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 3.5 Haiku and GPT-3.5 Turbo 16k.
Claude 3.5 Haiku
Claude 3.5 Haiku is the fast, cost-efficient member of the Claude 3.5 model family from Anthropic, built to deliver strong performance for coding, text processing, and multi-turn conversation at minimal inference cost. With a 200,000-token context window and pricing at $0.80/MTok for input, it is optimized for high-throughput, latency-sensitive production applications such as real-time chat interfaces, code completion tools, and classification systems. While smaller than its Sonnet and Opus siblings, Claude 3.5 Haiku retains Anthropic's strong alignment and safety properties, making it a reliable choice for consumer-facing AI features.
GPT-3.5 Turbo 16k
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
Technical Specifications
| Specification | Claude 3.5 Haiku | GPT-3.5 Turbo 16k |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Context Window | 200,000 tokens | 16,385 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | N/A | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-11-04 | 2023-08-28 |
API Pricing Comparison
Input Price per Million Tokens
Claude 3.5 Haiku
$0.80
GPT-3.5 Turbo 16k
$3.00
Output Price per Million Tokens
Claude 3.5 Haiku
$4.00
GPT-3.5 Turbo 16k
$4.00
Want to test both models live?
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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 3.5 Haiku Quirks & Gotchas
No developer gotchas reported.
GPT-3.5 Turbo 16k Quirks & Gotchas
No developer gotchas reported.