Mistral Large 3 2512 is $0.75 cheaper per 1M input tokens (60% lower; 2.5x difference).
API cost decision in 10 seconds
Gemini 2.5 Pro vs Mistral Large 3 2512
Pick Mistral Large 3 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 Mistral Large 3 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, Mistral Large 3 2512 is estimated at $1.25 vs $6.25 for Gemini 2.5 Pro, saving $5 (80% lower).
Cost-first pickMistral Large 3 2512
Context-first pickGemini 2.5 Pro
Sample savings$580%
10x traffic gap$50
Gemini 2.5 Pro has more context, but Mistral Large 3 2512 saves $5 on the standard workload. At 10x that traffic, the same price gap is about $50. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Mistral Large 3 2512 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Gemini 2.5 Pro | Mistral Large 3 2512 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Mistral Large 3 2512 | $11.25 | $3.25 |
| Balanced workload | 1M input + 1M output | Mistral Large 3 2512 | $11.25 | $2 |
| Output-heavy chatbot | 1M input + 5M output | Mistral Large 3 2512 | $51.25 | $8 |
Mistral Large 3 2512 is $8.5 cheaper per 1M output tokens (85% lower; 6.67x difference).
Gemini 2.5 Pro has 786.43K more context (4x larger).
Mistral Large 3 2512 is $5 cheaper on the standard workload (80% 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
Mistral Large 3 2512 has the lower input price; Mistral Large 3 2512 has the lower output price; Gemini 2.5 Pro offers the larger context window. For the 1M input plus 500K output sample, Mistral Large 3 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 $1.25 for Mistral Large 3 2512.
Choose Gemini 2.5 Pro when you care most about larger context window.
Choose Mistral Large 3 2512 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Mistral Large 3 2512 is estimated at $1.25 vs $6.25 for Gemini 2.5 Pro, saving $5 (80% lower).
- Mistral Large 3 2512 is $5 cheaper on the standard workload (80% lower).
- Mistral Large 3 2512 is $0.75 cheaper per 1M input tokens (60% lower; 2.5x difference).
- Mistral Large 3 2512 is $8.5 cheaper per 1M output tokens (85% lower; 6.67x difference).
- Gemini 2.5 Pro has 786.43K more context (4x larger).
| Feature | Gemini 2.5 Pro (Google) | Mistral Large 3 2512 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.25 | $0.5 |
| Completion Price per 1M tokens | $10 | $1.5 |
| Sample Workload Cost 1M input + 500K output | $6.25 | $1.25 |
| Context Window | 1.05M | 262.14K |
| Release Date | ||
| Popularity | #55 | #114 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Mistral Large 3 2512 | On the standard 1M input plus 500K output workload, Mistral Large 3 2512 is estimated at $1.25 vs $6.25 for Gemini 2.5 Pro, saving $5 (80% lower). |
| High-volume input processing | Mistral Large 3 2512 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Mistral Large 3 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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Cheaper alternatives
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Open Google modelsMistral catalog
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Open Mistral modelsGemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.