Mistral Small 3.2 24B vs R1 0528
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 Mistral Small 3.2 24B and R1 0528.
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...
R1 0528
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
Technical Specifications
| Specification | Mistral Small 3.2 24B | R1 0528 |
|---|---|---|
| Provider | Mistral | DeepSeek |
| Context Window | 128,000 tokens | 163,840 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-20 | 2025-05-28 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Small 3.2 24B
$0.07
R1 0528
$0.50
Output Price per Million Tokens
Mistral Small 3.2 24B
$0.20
R1 0528
$2.15
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Mistral Small 3.2 24B Quirks & Gotchas
No developer gotchas reported.
R1 0528 Quirks & Gotchas
No developer gotchas reported.