GPT-3.5 Turbo 16k vs Mistral Small 3.2 24B
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 GPT-3.5 Turbo 16k and Mistral Small 3.2 24B.
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...
Mistral Small 3.2 24B
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
Technical Specifications
| Specification | GPT-3.5 Turbo 16k | Mistral Small 3.2 24B |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context Window | 16,385 tokens | 128,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2023-08-28 | 2025-06-20 |
API Pricing Comparison
Input Price per Million Tokens
GPT-3.5 Turbo 16k
$3.00
Mistral Small 3.2 24B
$0.07
Output Price per Million Tokens
GPT-3.5 Turbo 16k
$4.00
Mistral Small 3.2 24B
$0.20
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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.
GPT-3.5 Turbo 16k Quirks & Gotchas
No developer gotchas reported.
Mistral Small 3.2 24B Quirks & Gotchas
No developer gotchas reported.