GPT-5.4 nano vs Voxtral Small
Pricing verdict: GPT-5.4 nano vs Voxtral Small: Voxtral Small is cheaper for input-heavy usage ($0.10/M vs $0.20/M input tokens), while GPT-5.4 nano is better for long-context tasks (128,000 tokens).
Direct answer: choose Voxtral Small for lower token spend and choose GPT-5.4 nano when your workload needs longer context.
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-5.4 nano
Voxtral Small
Cost Differences
Voxtral Small costs less than GPT-5.4 nano
Quick Recommendation
Winner for direct API pricing: Voxtral Small. At the default workload, Voxtral Small saves about $1.575/month ($19.1625/year) versus GPT-5.4 nano.
Feature Comparison
| Feature | GPT-5.4 nano | Voxtral Small |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $0.20/1M tokens | $0.10/1M tokens |
| Output Price | $1.25/1M 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 | 3/6/2026 | 7/15/2026 |
GPT-5.4 nano vs Voxtral Small: Which Should You Choose?
Choosing between GPT-5.4 nano and Voxtral Small depends on your priorities: cost efficiency, context length, or raw capability. Voxtral Small is the more affordable option at $0.10/1M input tokens — 50% cheaper than GPT-5.4 nano. Meanwhile, GPT-5.4 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 — the cost difference adds up: Voxtral Small would save you roughly $157.50/month compared to GPT-5.4 nano. For startups and indie developers, that difference can be significant.
Output costs matter too. GPT-5.4 nano charges $1.25/1M output tokens vs $0.40 for Voxtral Small. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Voxtral Small has the edge here at $0.40/1M output tokens.
Best Use Cases
Choose GPT-5.4 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:
- • Budget is a primary concern
- • 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-5.4 nano
- • Input pricing: $0.20/M tokens
- • Output pricing: $1.25/M tokens
- • Context window: 128,000 tokens
- • Max output: 8,192 tokens
Watch out for
- • Higher input cost than Voxtral Small
- • Higher output cost than Voxtral Small
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-5.4 nano
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.4 nano (OpenAI)
Voxtral Small (Mistral AI)
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Which is cheaper, GPT-5.4 nano or Voxtral Small?▼
What is the context window difference between GPT-5.4 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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