Ministral 3 8B 2512 is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).
API cost decision in 10 seconds
Gemini 2.5 Pro vs Ministral 3 8B 2512
Pick Ministral 3 8B 2512 for lower cost; pick Gemini 2.5 Pro only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ministral 3 8B 2512 for lower cost; pick Gemini 2.5 Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ministral 3 8B 2512 is estimated at $0.22 vs $6.25 for Gemini 2.5 Pro, saving $6.03 (96.4% lower).
Cost-first pickMinistral 3 8B 2512
Context-first pickGemini 2.5 Pro
Sample savings$6.0396.4%
10x traffic gap$60.25
Gemini 2.5 Pro has more context, but Ministral 3 8B 2512 saves $6.03 on the standard workload. At 10x that traffic, the same price gap is about $60.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ministral 3 8B 2512 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Gemini 2.5 Pro | Ministral 3 8B 2512 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ministral 3 8B 2512 | $11.25 | $0.82 |
| Balanced workload | 1M input + 1M output | Ministral 3 8B 2512 | $11.25 | $0.3 |
| Output-heavy chatbot | 1M input + 5M output | Ministral 3 8B 2512 | $51.25 | $0.9 |
Ministral 3 8B 2512 is $9.85 cheaper per 1M output tokens (98.5% lower; 66.7x difference).
Gemini 2.5 Pro has 786.43K more context (4x larger).
Ministral 3 8B 2512 is $6.03 cheaper on the standard workload (96.4% 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
Ministral 3 8B 2512 has the lower input price; Ministral 3 8B 2512 has the lower output price; Gemini 2.5 Pro offers the larger context window. For the 1M input plus 500K output sample, Ministral 3 8B 2512 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Gemini 2.5 Pro and $0.22 for Ministral 3 8B 2512.
Choose Gemini 2.5 Pro when you care most about larger context window.
Choose Ministral 3 8B 2512 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Ministral 3 8B 2512 is estimated at $0.22 vs $6.25 for Gemini 2.5 Pro, saving $6.03 (96.4% lower).
- Ministral 3 8B 2512 is $6.03 cheaper on the standard workload (96.4% lower).
- Ministral 3 8B 2512 is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).
- Ministral 3 8B 2512 is $9.85 cheaper per 1M output tokens (98.5% lower; 66.7x difference).
- Gemini 2.5 Pro has 786.43K more context (4x larger).
| Feature | Gemini 2.5 Pro (Google) | Ministral 3 8B 2512 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.25 | $0.15 |
| Completion Price per 1M tokens | $10 | $0.15 |
| Sample Workload Cost 1M input + 500K output | $6.25 | $0.22 |
| Context Window | 1.05M | 262.14K |
| Release Date | ||
| Popularity | #55 | #89 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ministral 3 8B 2512 | On the standard 1M input plus 500K output workload, Ministral 3 8B 2512 is estimated at $0.22 vs $6.25 for Gemini 2.5 Pro, saving $6.03 (96.4% lower). |
| High-volume input processing | Ministral 3 8B 2512 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ministral 3 8B 2512 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Gemini 2.5 Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
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- Owl Alpha offers 1.05M context with $0 sample workload cost.
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