GPT-5.2-Codex vs Mistral Small 3
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-5.2-Codex and Mistral Small 3.
GPT-5.2-Codex
GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
Mistral Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
Technical Specifications
| Specification | GPT-5.2-Codex | Mistral Small 3 |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context Window | 400,000 tokens | 32,768 tokens |
| Agent Suitability | N/A | 84/100 |
| Time to First Token (TTFT) | N/A | 120 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-01-14 | 2025-01-30 |
API Pricing Comparison
Input Price per Million Tokens
GPT-5.2-Codex
$1.75
Mistral Small 3
$0.07
Output Price per Million Tokens
GPT-5.2-Codex
$14.00
Mistral Small 3
$0.20
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.
GPT-5.2-Codex Quirks & Gotchas
No developer gotchas reported.
Mistral Small 3 Quirks & Gotchas
- ▸Fastest TTFT at lowest cost — ideal for high-volume classification
- ▸Not designed for complex reasoning — route multi-step tasks to Mistral Large 3