Nex-N2-Pro is $0.43 cheaper per 1M input tokens (63.2% lower; 2.72x difference).
API cost decision in 10 seconds
Nex-N2-Pro vs Qianfan-OCR-Fast
Pick Nex-N2-Pro 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 Nex-N2-Pro when budget and context both matter.
On the standard 1M input plus 500K output workload, Nex-N2-Pro is estimated at $0.75 vs $2.08 for Qianfan-OCR-Fast, saving $1.33 (64% lower).
Cost-first pickNex-N2-Pro
Context-first pickNex-N2-Pro
Sample savings$1.3364%
10x traffic gap$13.35
Nex-N2-Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $13.35. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nex-N2-Pro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Nex-N2-Pro | Qianfan-OCR-Fast |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nex-N2-Pro | $1.75 | $4.81 |
| Balanced workload | 1M input + 1M output | Nex-N2-Pro | $1.25 | $3.49 |
| Output-heavy chatbot | 1M input + 5M output | Nex-N2-Pro | $5.25 | $14.73 |
Nex-N2-Pro is $1.81 cheaper per 1M output tokens (64.4% lower; 2.81x difference).
Nex-N2-Pro has 196.61K more context (4x larger).
Nex-N2-Pro is $1.33 cheaper on the standard workload (64% 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
Nex-N2-Pro has the lower input price; Nex-N2-Pro has the lower output price; Nex-N2-Pro offers the larger context window. For the 1M input plus 500K output sample, Nex-N2-Pro is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.75 for Nex-N2-Pro and $2.08 for Qianfan-OCR-Fast.
Choose Nex-N2-Pro when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Qianfan-OCR-Fast when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Nex-N2-Pro is estimated at $0.75 vs $2.08 for Qianfan-OCR-Fast, saving $1.33 (64% lower).
- Nex-N2-Pro is $1.33 cheaper on the standard workload (64% lower).
- Nex-N2-Pro is $0.43 cheaper per 1M input tokens (63.2% lower; 2.72x difference).
- Nex-N2-Pro is $1.81 cheaper per 1M output tokens (64.4% lower; 2.81x difference).
- Nex-N2-Pro has 196.61K more context (4x larger).
| Feature | Nex-N2-Pro (Nex AGI) | Qianfan-OCR-Fast (Baidu) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.25 | $0.68 |
| Completion Price per 1M tokens | $1 | $2.81 |
| Sample Workload Cost 1M input + 500K output | $0.75 | $2.08 |
| Context Window | 262.14K | 65.54K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nex-N2-Pro | On the standard 1M input plus 500K output workload, Nex-N2-Pro is estimated at $0.75 vs $2.08 for Qianfan-OCR-Fast, saving $1.33 (64% lower). |
| High-volume input processing | Nex-N2-Pro | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nex-N2-Pro | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Nex-N2-Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Nex-N2-Pro (free) can replace Nex-N2-Pro when lower sample workload cost matters most: $0.
- Nex-N2-Mini can replace Nex-N2-Pro when lower sample workload cost matters most: $0.08.
- DeepSeek V3.1 Nex N1 can replace Nex-N2-Pro when lower sample workload cost matters most: $0.39.
- ERNIE 4.5 21B A3B Thinking can replace Qianfan-OCR-Fast when lower sample workload cost matters most: $0.21.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
Cheaper alternatives
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Open cheapest modelsLarger context alternatives
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Open largest context modelsProvider catalogs
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Open provider hubsNex AGI catalog
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Open Nex AGI modelsBaidu catalog
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Open Baidu modelsNex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...
Qianfan-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.