Data points: 57
Model compare
The readout for GPT-5.2 and Mistral Small 3.1 24B, before the detailed comparison sheet.
Weighted outcome: GPT-5.2. Benchmark capability categories carry 80%, while price, API performance, and availability carry 20%.
Decision read
GPT-5.2
GPT-5.2 has the higher weighted result; Model A / B score 100 to 0.
Evidence depth
57 data points
Includes 0 benchmark rows, 0 audit samples, and 3 provider examples.
Selection signal
Start with GPT-5.2
The charts below split 3 high-signal samples across speed, scores, and audit health.
Switch either side of this report to compare another model with the same LMSpeed data pipeline.
Select a different model to open a new comparison URL.
This report only uses LMSpeed data for GPT-5.2 and Mistral Small 3.1 24B: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Model compare | GPT-5.2 | Mistral Small 3.1 24B |
|---|---|---|
| Overall leader | Leading | Contender |
| Weighted overall score | 100.0 pts | 0.0 pts |
| Benchmark category leads | 0 categories | 0 categories |
| Operational advantages | Cheapest input price, Free providers, Provider coverage | No data |
| Context window | 400K tokens | 128K tokens |
| Max output | 128K tokens | 128K tokens |
| Modalities | Input FileImageText Output Text |
The overall result weights benchmark capability categories at 80% and price, API speed/latency, and availability at 20%. Recent test volume does not affect the winner, and missing benchmark categories are excluded.
| Model compare | GPT-5.2 | Mistral Small 3.1 24B |
|---|---|---|
| Developer | OpenAI | Mistral |
| Released | Dec 2025 | Mar 2025 |
| Parameters | No data | 24B |
| Tokenizer | GPT | Mistral |
| Knowledge cutoff | No data | 2023-10-31 |
| OpenRouter ID | openai/gpt-5.2 | mistralai/mistral-small-3.1-24b-instruct |
| References | No data | No data |
This report only uses LMSpeed data for GPT-5.2 and Mistral Small 3.1 24B: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
GPT-5.2
GPT-5.2 has these operational advantages: Cheapest input price, Free providers, Provider coverage.
Mistral Small 3.1 24B
Mistral Small 3.1 24B does not clearly lead in the benchmark or operational dimensions shared by both models.
Third-party benchmark profile synced into LMSpeed; only metrics available for both models are shown.
Compare benchmark category scores on a 0-100 scale. Select a category to inspect the gap.
Avg. score
GPT-5.2
52.8
Avg. score
Mistral Small 3.1 24B
-
GPT-5.2
GPT-5.2
GPT-5.2
GPT-5.2
GPT-5.2
No data
GPT-5.2
GPT-5.2
Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.
No shared professional benchmark scores are available yet.
Latest completed audits from shared providers, with four safety and integrity score groups plus report links.
| Provider | GPT-5.2 | Mistral Small 3.1 24B |
|---|---|---|
| No completed audits are available from shared providers yet. | ||
Speed aggregates and input/output pricing share each provider row for real API selection and migration cost checks.
| Provider | GPT-5.2 | Mistral Small 3.1 24B |
|---|---|---|
0 tests | GPT-5.2 speed / latency N/A / N/A input / output No data | Mistral Small 3.1 24B speed / latency N/A / N/A input / output No data |
0 tests | GPT-5.2 gpt-5.2 speed / latency N/A / N/A input / output $0.024/M/$0.192/M | Mistral Small 3.1 24B mistral-small-3.1-24b-instruct speed / latency N/A / N/A input / output $0/M |
0 tests | GPT-5.2 gpt-5-2 speed / latency N/A / N/A input / output $0.020/request | Mistral Small 3.1 24B mistral-small-3.1-24b-instruct speed / latency N/A / N/A input / output $0.100/request |
Weighted outcome: GPT-5.2. Benchmark capability categories carry 80%, while price, API performance, and availability carry 20%.
Input
Output
| Features | Text inputImage inputFile inputText outputTool callingStructured outputsJSON modeReasoning | Text inputImage inputText output |
|---|
