comparison
GPT-5.4 vs Mistral Medium 3.5
Token pricing, context window and real monthly cost, side by side. Mistral Medium 3.5 is the cheaper of the two for a typical workload — about 1.9× less.
Positioned by published specs — size, context and modality — not measured performance; a smaller model can sometimes outperform a larger one on your task.
GPT-5.4 is one class larger (Flagship vs Mid). Lean to the cheaper Mistral Medium 3.5 unless your task is demanding enough to need the larger class.
| metric | GPT-5.4 | Mistral Medium 3.5 |
|---|---|---|
| Input / 1M | $2.50 | $1.50 |
| Output / 1M | $15.00 | $7.50 |
| Context | 1.1M | 262K |
| Technical class | Flagship | Mid |
| Cost @ typical workload | $2,250/mo | $1,200/mo |
| Modality | text + image | text + image |
| Price source | list | list |
| Provider | OpenAI | Mistral |
Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →
Which should you pick?
On a typical workload, Mistral Medium 3.5 costs $1,200/mo against GPT-5.4's $2,250/mo — roughly 1.9× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. If you need to fit more in a single prompt, GPT-5.4 has the larger 1.1M-token window (~1,575 pages). By technical class (size and context, not measured capability), GPT-5.4 is a Flagship and Mistral Medium 3.5 a Mid — so the lower price partly reflects a smaller class, not just a discount.
These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures. The technical-class read above is likewise spec-based — size, context and modality, not measured performance — so a smaller model can still outperform a larger one on your specific task.
Frequently asked questions
Is GPT-5.4 or Mistral Medium 3.5 cheaper?
For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), Mistral Medium 3.5 costs $1,200/mo versus $2,250/mo for GPT-5.4 — about 1.9× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.
What's the main difference between GPT-5.4 and Mistral Medium 3.5?
On price, GPT-5.4 is $2.50/$15.00 per 1M (in/out) and Mistral Medium 3.5 is $1.50/$7.50. By technical class (size & context) it's Flagship (GPT-5.4) versus Mid (Mistral Medium 3.5). GPT-5.4 has the larger context window at 1.1M tokens.
Which handles longer prompts, GPT-5.4 or Mistral Medium 3.5?
GPT-5.4 — its 1.1M-token context window (~1,575 pages of text) is the larger of the two, by roughly 4×.
More comparisons
- GPT-5.5 vs GPT-5.4
- GPT-5.5 vs Mistral Medium 3.5
- GPT-5.4 vs GPT-5.4 mini
- GPT-5.4 vs GPT-5.4 nano
- GPT-5.4 vs gpt-oss-120b
- Claude Fable 5 vs GPT-5.4
Related
- GPT-5.4 and Mistral Medium 3.5 — full specs and price history.
- API cost calculator — compare on your own workload.
- All comparisons — the full head-to-head index.