| Signal | Mistral Small 3.2 24B | Delta | o3 |
|---|---|---|---|
Capabilities | 57 | -29 | |
Context window size | 81 | -3 | |
Output Capacity | 85 | +2 | |
Pricing Tier | 0 | -8 | |
Recency | 86 | +12 | |
Versatility | 50 | -17 | |
| Overall Result | 2 wins | of 6 | 4 wins |
0
days ranked higher
0
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30
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Mistral AI
OpenAI
Mistral Small 3.2 24B saves you $585.00/month
That's $7020.00/year compared to o3 at your current usage level of 100K calls/month.
| Metric | Mistral Small 3.2 24B | o3 | Winner |
|---|---|---|---|
| Overall Score | 53 | 62 | o3 |
| Rank | #94 | #44 | o3 |
| Quality Rank | #94 | #44 | o3 |
| Adoption Rank | #94 | #44 | o3 |
| Parameters | -- | -- | -- |
| Context Window | 131K | 200K | o3 |
| Pricing | $0.06/$0.18/M | $2.00/$8.00/M | -- |
| Signal Scores | |||
| Capabilities | 57 | 86 | o3 |
| Context window size | 81 | 84 | o3 |
| Output Capacity | 85 | 83 | Mistral Small 3.2 24B |
| Pricing Tier | 0 | 8 | o3 |
| Recency | 86 | 74 | Mistral Small 3.2 24B |
| Versatility | 50 | 67 | o3 |
o3 has a moderate advantage with a 9.200000000000003-point lead in composite score. It wins on more signal dimensions, but Mistral Small 3.2 24B has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Mistral Small 3.2 24B
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 3.2 24B
98% lower pricing; better value at scale
Best for Reliability
Mistral Small 3.2 24B
Higher uptime and faster response speeds
Best for Prototyping
Mistral Small 3.2 24B
Stronger community support and better developer experience
Best for Production
Mistral Small 3.2 24B
Wider enterprise adoption and proven at scale
by Mistral AI
o3 currently scores higher (62 vs 53), but the best choice depends on your specific use case, budget, and requirements.
Mistral Small 3.2 24B is ranked #94 and o3 is ranked #44. Rankings are based on a composite score from multiple signals including benchmarks, community sentiment, and adoption metrics.
Compare the detailed pricing breakdown above to see which model offers better value for your usage pattern.