GPT-5 vs Codestral
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-5 | Codestral |
|---|---|---|
| Provider | OpenAI | Mistral |
| Input Price (1M) | $1.25 | $0.30 |
| Output Price (1M) | $10.00 | $0.90 |
| Context Window | 400,000 | 256,000 |
Verdict
GPT-5 costs $1.25 per 1M input tokens and $10.00 per 1M output tokens. Codestral costs $0.30 per 1M input tokens and $0.90 per 1M output tokens. Codestral is 76% cheaper on input tokens than GPT-5. For output tokens, Codestral is the more affordable option at $0.90/1M vs $10.00.
On context window, GPT-5 supports 400,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-5
- ✓ You need a larger context window (400,000 tokens)
- ✓ You are already integrated with OpenAI
When to choose Codestral
- ✓ You need the lowest input token cost ($ 0.30/1M)
- ✓ Your workload is output-heavy — Codestral generates text cheaper
- ✓ You are already integrated with Mistral
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is GPT-5 cheaper than Codestral? ▼
Codestral is cheaper on input tokens at $0.30/1M vs $1.25/1M for GPT-5 — a 76% saving.
What is the context window of GPT-5 vs Codestral? ▼
GPT-5 has a 400,000-token context window. Codestral has a 256,000-token context window. GPT-5 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-5 or Codestral? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Codestral is the cheaper option. For maximum context length, GPT-5 supports 400,000 tokens. Use the comparison table above to find the right fit for your workload.