Voxtral Small 24B 2507 is $0.1 cheaper per 1M input tokens (50% lower; 2x difference).
API cost decision in 10 seconds
GPT-5.4 Nano vs Voxtral Small 24B 2507
Pick Voxtral Small 24B 2507 for lower cost; pick GPT-5.4 Nano only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Voxtral Small 24B 2507 for lower cost; pick GPT-5.4 Nano only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Voxtral Small 24B 2507 is estimated at $0.25 vs $0.82 for GPT-5.4 Nano, saving $0.57 (69.7% lower).
Cost-first pickVoxtral Small 24B 2507
Context-first pickGPT-5.4 Nano
Sample savings$0.5769.7%
10x traffic gap$5.75
GPT-5.4 Nano has more context, but Voxtral Small 24B 2507 saves $0.57 on the standard workload. At 10x that traffic, the same price gap is about $5.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Voxtral Small 24B 2507 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.4 Nano | Voxtral Small 24B 2507 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Voxtral Small 24B 2507 | $1.62 | $0.65 |
| Balanced workload | 1M input + 1M output | Voxtral Small 24B 2507 | $1.45 | $0.4 |
| Output-heavy chatbot | 1M input + 5M output | Voxtral Small 24B 2507 | $6.45 | $1.6 |
Voxtral Small 24B 2507 is $0.95 cheaper per 1M output tokens (76% lower; 4.17x difference).
GPT-5.4 Nano has 368K more context (12.5x larger).
Voxtral Small 24B 2507 is $0.57 cheaper on the standard workload (69.7% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Voxtral Small 24B 2507 has the lower input price; Voxtral Small 24B 2507 has the lower output price; GPT-5.4 Nano offers the larger context window. For the 1M input plus 500K output sample, Voxtral Small 24B 2507 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.82 for GPT-5.4 Nano and $0.25 for Voxtral Small 24B 2507.
Choose GPT-5.4 Nano when you care most about larger context window.
Choose Voxtral Small 24B 2507 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Voxtral Small 24B 2507 is estimated at $0.25 vs $0.82 for GPT-5.4 Nano, saving $0.57 (69.7% lower).
- Voxtral Small 24B 2507 is $0.57 cheaper on the standard workload (69.7% lower).
- Voxtral Small 24B 2507 is $0.1 cheaper per 1M input tokens (50% lower; 2x difference).
- Voxtral Small 24B 2507 is $0.95 cheaper per 1M output tokens (76% lower; 4.17x difference).
- GPT-5.4 Nano has 368K more context (12.5x larger).
| Feature | GPT-5.4 Nano (OpenAI) | Voxtral Small 24B 2507 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.2 | $0.1 |
| Completion Price per 1M tokens | $1.25 | $0.3 |
| Sample Workload Cost 1M input + 500K output | $0.82 | $0.25 |
| Context Window | 400K | 32K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Voxtral Small 24B 2507 | On the standard 1M input plus 500K output workload, Voxtral Small 24B 2507 is estimated at $0.25 vs $0.82 for GPT-5.4 Nano, saving $0.57 (69.7% lower). |
| High-volume input processing | Voxtral Small 24B 2507 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Voxtral Small 24B 2507 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.4 Nano | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
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