GPT-4.1 nano vs Voxtral Small
Pricing verdict: GPT-4.1 nano vs Voxtral Small: pricing is a tie at $0.10/M input and $0.40/M output. The real choice is context: GPT-4.1 nano is better for long-context tasks (128,000 tokens vs 32,000).
Direct answer: pricing is a tie. Choose GPT-4.1 nano for the larger 128K context window, or pick Voxtral Small if 32K is already enough for your workload.
Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-4.1 nano
Voxtral Small
Cost Differences
Both models cost the same at the default workload.
Quick Recommendation
Direct API pricing is a tie at the default workload: both land around $0.90/month. Pick GPT-4.1 nano if you need the larger 128K context window; otherwise choose the model that better fits your workflow.
Feature Comparison
| Feature | GPT-4.1 nano | Voxtral Small |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $0.10/1M tokens | $0.10/1M tokens |
| Output Price | $0.40/1M tokens | $0.40/1M tokens |
| Context Window | 128,000 tokens | 32,000 tokens |
| Max Output | 8,192 tokens | 8,192 tokens |
| Category | efficient | efficient |
| Capabilities | text | textaudiotranscription |
| Release Date | 4/14/2025 | 7/15/2026 |
GPT-4.1 nano vs Voxtral Small: Which Should You Choose?
Choosing between GPT-4.1 nano and Voxtral Small depends on your priorities: cost efficiency, context length, or raw capability. Both models cost the same on input and output tokens, so raw price is a tie. Meanwhile, GPT-4.1 nano offers a significantly larger context window at 128,000 tokens vs 32,000 for Voxtral Small.
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.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — direct API pricing stays tied, so the real decision is context, latency, and provider fit.
Output costs matter too. GPT-4.1 nano charges $0.40/1M output tokens vs $0.40 for Voxtral Small.
Best Use Cases
Choose GPT-4.1 nano when:
- • You need a larger context window (128,000 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Voxtral Small when:
- • You need more capabilities (audio, transcription)
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
GPT-4.1 nano
- • Input pricing: $0.10/M tokens
- • Output pricing: $0.40/M tokens
- • Context window: 128,000 tokens
- • Max output: 8,192 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Voxtral Small
- • Input pricing: $0.10/M tokens
- • Output pricing: $0.40/M tokens
- • Context window: 32,000 tokens
- • Max output: 8,192 tokens
Watch out for
- • Smaller context window than GPT-4.1 nano
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4.1 nano (OpenAI)
Voxtral Small (Mistral AI)
Start using GPT-4.1 nano today
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Sign Up for Mistral AI →Frequently Asked Questions
Which is cheaper, GPT-4.1 nano or Voxtral Small?▼
What is the context window difference between GPT-4.1 nano and Voxtral Small?▼
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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