DeepSeek V3.1 Nex N1 is $0.36 cheaper per 1M input tokens (73% lower; 3.7x difference).
API cost decision in 10 seconds
DeepSeek V3.1 Nex N1 vs Mistral Large 3 2512
Pick DeepSeek V3.1 Nex N1 for lower cost; pick Mistral Large 3 2512 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 DeepSeek V3.1 Nex N1 for lower cost; pick Mistral Large 3 2512 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $1.25 for Mistral Large 3 2512, saving $0.86 (69.2% lower).
Cost-first pickDeepSeek V3.1 Nex N1
Context-first pickMistral Large 3 2512
Sample savings$0.8669.2%
10x traffic gap$8.65
Mistral Large 3 2512 has more context, but DeepSeek V3.1 Nex N1 saves $0.86 on the standard workload. At 10x that traffic, the same price gap is about $8.65. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
DeepSeek V3.1 Nex N1 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V3.1 Nex N1 | Mistral Large 3 2512 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V3.1 Nex N1 | $0.93 | $3.25 |
| Balanced workload | 1M input + 1M output | DeepSeek V3.1 Nex N1 | $0.64 | $2 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V3.1 Nex N1 | $2.63 | $8 |
DeepSeek V3.1 Nex N1 is $1 cheaper per 1M output tokens (66.7% lower; 3x difference).
Mistral Large 3 2512 has 131.07K more context (2x larger).
DeepSeek V3.1 Nex N1 is $0.86 cheaper on the standard workload (69.2% 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
DeepSeek V3.1 Nex N1 has the lower input price; DeepSeek V3.1 Nex N1 has the lower output price; Mistral Large 3 2512 offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.1 Nex N1 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.39 for DeepSeek V3.1 Nex N1 and $1.25 for Mistral Large 3 2512.
Choose DeepSeek V3.1 Nex N1 when you care most about lower input-token price, and lower output-token price.
Choose Mistral Large 3 2512 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $1.25 for Mistral Large 3 2512, saving $0.86 (69.2% lower).
- DeepSeek V3.1 Nex N1 is $0.86 cheaper on the standard workload (69.2% lower).
- DeepSeek V3.1 Nex N1 is $0.36 cheaper per 1M input tokens (73% lower; 3.7x difference).
- DeepSeek V3.1 Nex N1 is $1 cheaper per 1M output tokens (66.7% lower; 3x difference).
- Mistral Large 3 2512 has 131.07K more context (2x larger).
| Feature | DeepSeek V3.1 Nex N1 (Nex AGI) | Mistral Large 3 2512 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.135 | $0.5 |
| Completion Price per 1M tokens | $0.5 | $1.5 |
| Sample Workload Cost 1M input + 500K output | $0.39 | $1.25 |
| Context Window | 131.07K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V3.1 Nex N1 | On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $1.25 for Mistral Large 3 2512, saving $0.86 (69.2% lower). |
| High-volume input processing | DeepSeek V3.1 Nex N1 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V3.1 Nex N1 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Mistral Large 3 2512 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Mistral Nemo can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.04.
- Mistral Small 3 can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.09.
- Ministral 3 3B 2512 can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.15.
- Mistral Small 3.2 24B can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.17.
- 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
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsNex AGI catalog
Review all tracked Nex AGI models before deciding whether this matchup is the right shortlist.
Open Nex AGI modelsMistral catalog
Check other Mistral models with comparable pricing, context, or release timing.
Open Mistral modelsDeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity. Nex-N1 demonstrates competitive performance across...
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.