GPT-5.3 Codex vs Mistral Small 3.2
Compare OpenAI and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5.3 Codex
Mistral Small 3.2
Cost Differences
Mistral Small 3.2 costs less than GPT-5.3 Codex
Feature Comparison
| Feature | GPT-5.3 Codex | Mistral Small 3.2 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $1.75/1M tokens | $0.06/1M tokens |
| Output Price | $14.00/1M tokens | $0.18/1M tokens |
| Context Window | 256,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 8,192 tokens |
| Category | coding | efficient |
| Capabilities | textcode | textcode |
| Release Date | 3/1/2026 | 12/2/2025 |
GPT-5.3 Codex vs Mistral Small 3.2: Which Should You Choose?
Choosing between GPT-5.3 Codex and Mistral Small 3.2 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 3.2 is the more affordable option at $0.06/1M input tokens — 97% cheaper than GPT-5.3 Codex. Meanwhile, GPT-5.3 Codex offers a significantly larger context window at 256,000 tokens vs 128,000 for Mistral Small 3.2.
These models come from different providers — OpenAI and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: GPT-5.3 Codex is a coding model while Mistral Small 3.2 is efficient. This means they're optimized for different workloads. Mistral Small 3.2 targets more demanding workloads, while GPT-5.3 Codex provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-5.3 Codex charges $14.00/1M output tokens vs $0.18 for Mistral Small 3.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 3.2 has the edge here at $0.18/1M output tokens.
Best Use Cases
Choose GPT-5.3 Codex when:
- • You need a larger context window (256,000 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using OpenAI's API ecosystem
Choose Mistral Small 3.2 when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.3 Codex (OpenAI)
Mistral Small 3.2 (Mistral AI)
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