GPT-4.1 nano vs Ministral 3 14B
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-4.1 nano | Ministral 3 14B |
|---|---|---|
| Provider | OpenAI | Mistral |
| Input Price (1M) | $0.10 | $0.20 |
| Output Price (1M) | $0.40 | $0.20 |
| Context Window | 1,000,000 | 262,000 |
Verdict
GPT-4.1 nano costs $0.10 per 1M input tokens and $0.40 per 1M output tokens. Ministral 3 14B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens. GPT-4.1 nano is 50% cheaper on input tokens than Ministral 3 14B. For output tokens, Ministral 3 14B is the more affordable option at $0.20/1M vs $0.40.
On context window, GPT-4.1 nano supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-4.1 nano
- ✓ You need the lowest input token cost ($ 0.10/1M)
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with OpenAI
When to choose Ministral 3 14B
- ✓ Your workload is output-heavy — Ministral 3 14B 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-4.1 nano cheaper than Ministral 3 14B? ▼
GPT-4.1 nano is cheaper on input tokens at $0.10/1M vs $0.20/1M for Ministral 3 14B — a 50% saving.
What is the context window of GPT-4.1 nano vs Ministral 3 14B? ▼
GPT-4.1 nano has a 1,000,000-token context window. Ministral 3 14B has a 262,000-token context window. GPT-4.1 nano supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-4.1 nano or Ministral 3 14B? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GPT-4.1 nano is the cheaper option. For maximum context length, GPT-4.1 nano supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.