Mistral Small 3 vs GPT-5.2-Codex
Detailed technical comparison between Mistral Small 3 (Mistral) and GPT-5.2-Codex (OpenAI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
GPT-5.2-Codex
400,000 tokensTie
Equal CapabilityTie
Equal SpeedMistral Small 3
$0.10 / MTokMistral 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...
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....
Technical Specifications
🏆 = Superior Spec| Specification | Mistral Small 3 | GPT-5.2-Codex |
|---|---|---|
| Provider | Mistral | OpenAI |
| Context Window | 32,768 tokens | 400,000 tokens🏆 |
| Agent Suitability | 84/100 (est.) | Not yet benchmarked |
| Time to First Token (TTFT) | 120 ms (est.) | No public TTFT data |
| Deployment Model | managed api | managed api |
| Production Stability | Stable GA (est.) | Stable GA (est.) |
| API Available | Yes | Yes |
| Released Date | 2025-01-30 | 2026-01-14 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Small 3
$0.10
GPT-5.2-Codex
$1.75
Output Price per Million Tokens
Mistral Small 3
$0.30
GPT-5.2-Codex
$14.00
💡 Cost Ratio: Mistral Small 3 is 17.5x cheaper per input token than GPT-5.2-Codex.
Want to test both models live?
Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Standardized Scores (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
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
GPT-5.2-Codex Quirks & Gotchas
No developer gotchas reported.
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