DeepSeek V3.1 Nex N1 is $0.55 cheaper per 1M input tokens (80.1% lower; 5.04x difference).
API cost decision in 10 seconds
Qianfan-OCR-Fast vs DeepSeek V3.1 Nex N1
Pick DeepSeek V3.1 Nex N1 when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick DeepSeek V3.1 Nex N1 when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $2.08 for Qianfan-OCR-Fast, saving $1.7 (81.5% lower).
Cost-first pickDeepSeek V3.1 Nex N1
Context-first pickDeepSeek V3.1 Nex N1
Sample savings$1.781.5%
10x traffic gap$17
DeepSeek V3.1 Nex N1 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $17. 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 | Qianfan-OCR-Fast | DeepSeek V3.1 Nex N1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V3.1 Nex N1 | $4.81 | $0.93 |
| Balanced workload | 1M input + 1M output | DeepSeek V3.1 Nex N1 | $3.49 | $0.64 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V3.1 Nex N1 | $14.73 | $2.63 |
DeepSeek V3.1 Nex N1 is $2.31 cheaper per 1M output tokens (82.2% lower; 5.62x difference).
DeepSeek V3.1 Nex N1 has 65.54K more context (2x larger).
DeepSeek V3.1 Nex N1 is $1.7 cheaper on the standard workload (81.5% 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; DeepSeek V3.1 Nex N1 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 $2.08 for Qianfan-OCR-Fast and $0.39 for DeepSeek V3.1 Nex N1.
Choose Qianfan-OCR-Fast when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose DeepSeek V3.1 Nex N1 when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $2.08 for Qianfan-OCR-Fast, saving $1.7 (81.5% lower).
- DeepSeek V3.1 Nex N1 is $1.7 cheaper on the standard workload (81.5% lower).
- DeepSeek V3.1 Nex N1 is $0.55 cheaper per 1M input tokens (80.1% lower; 5.04x difference).
- DeepSeek V3.1 Nex N1 is $2.31 cheaper per 1M output tokens (82.2% lower; 5.62x difference).
- DeepSeek V3.1 Nex N1 has 65.54K more context (2x larger).
| Feature | Qianfan-OCR-Fast (Baidu) | DeepSeek V3.1 Nex N1 (Nex AGI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.68 | $0.135 |
| Completion Price per 1M tokens | $2.81 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $2.08 | $0.39 |
| Context Window | 65.54K | 131.07K |
| 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 $2.08 for Qianfan-OCR-Fast, saving $1.7 (81.5% 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 | DeepSeek V3.1 Nex N1 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- ERNIE 4.5 21B A3B Thinking can replace Qianfan-OCR-Fast when lower sample workload cost matters most: $0.21.
- ERNIE 4.5 21B A3B can replace Qianfan-OCR-Fast when lower sample workload cost matters most: $0.21.
- ERNIE 4.5 VL 28B A3B can replace Qianfan-OCR-Fast when lower sample workload cost matters most: $0.42.
- ERNIE 4.5 300B A47B can replace Qianfan-OCR-Fast when lower sample workload cost matters most: $0.83.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
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- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
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Open Nex AGI modelsQianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR training data while preserving versatile multimodal intelligence, it provides a powerful performance upgrade over Qianfan-OCR.
DeepSeek 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...