GPT-5.3 Codex vs Mistral Large 3
GPT-5.3 Codex vs Mistral Large 3: Mistral Large 3 is cheaper for input-heavy usage ($0.50/M vs $1.75/M input tokens), while GPT-5.3 Codex is better for long-context tasks (256,000 tokens).
Direct answer: choose Mistral Large 3 for lower token spend and choose GPT-5.3 Codex when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5.3 Codex
Mistral Large 3
Cost Differences
Mistral Large 3 costs less than GPT-5.3 Codex
Quick Recommendation
Winner for direct API pricing: Mistral Large 3. At the default workload, Mistral Large 3 saves about $22.50/month ($273.75/year) versus GPT-5.3 Codex.
Feature Comparison
| Feature | GPT-5.3 Codex | Mistral Large 3 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $1.75/1M tokens | $0.50/1M tokens |
| Output Price | $14.00/1M tokens | $1.50/1M tokens |
| Context Window | 256,000 tokens | 256,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | coding | flagship |
| Capabilities | textcode | textcodereasoning |
| Release Date | 3/1/2026 | 12/2/2025 |
GPT-5.3 Codex vs Mistral Large 3: Which Should You Choose?
Choosing between GPT-5.3 Codex and Mistral Large 3 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Large 3 is the more affordable option at $0.50/1M input tokens — 71% cheaper than GPT-5.3 Codex.
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 Large 3 is flagship. This means they're optimized for different workloads. Mistral Large 3 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 $1.50 for Mistral Large 3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Large 3 has the edge here at $1.50/1M output tokens.
Best Use Cases
Choose GPT-5.3 Codex when:
- • You're already using OpenAI's API ecosystem
Choose Mistral Large 3 when:
- • Budget is a primary concern
- • You need more capabilities (reasoning)
- • You're already using Mistral AI's API ecosystem
Pros and Caveats at a Glance
GPT-5.3 Codex
- • Input pricing: $1.75/M tokens
- • Output pricing: $14.00/M tokens
- • Context window: 256,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Mistral Large 3
- • Higher output cost than Mistral Large 3
Mistral Large 3
- • Input pricing: $0.50/M tokens
- • Output pricing: $1.50/M tokens
- • Context window: 256,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.3 Codex (OpenAI)
Mistral Large 3 (Mistral AI)
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Which is cheaper, GPT-5.3 Codex or Mistral Large 3?▼
What is the context window difference between GPT-5.3 Codex and Mistral Large 3?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare OpenAI and Mistral AI API pricing beyond this model matchup?▼
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