Qianfan-OCR-Fast is $0.05 cheaper per 1M input tokens (6.8% lower; 1.07x difference).
API cost decision in 10 seconds
Qianfan-OCR-Fast vs Kimi K2.6
Pick Qianfan-OCR-Fast for lower cost; pick Kimi K2.6 only if the larger context window matters more.
Budget verdict
Pick Qianfan-OCR-Fast for lower cost; pick Kimi K2.6 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qianfan-OCR-Fast is estimated at $2.08 vs $2.48 for Kimi K2.6, saving $0.39 (15.8% lower).
Kimi K2.6 has more context, but Qianfan-OCR-Fast saves $0.39 on the standard workload. At 10x that traffic, the same price gap is about $3.9. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qianfan-OCR-Fast stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qianfan-OCR-Fast | Kimi K2.6 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qianfan-OCR-Fast | $4.81 | $5.39 |
| Balanced workload | 1M input + 1M output | Qianfan-OCR-Fast | $3.49 | $4.22 |
| Output-heavy chatbot | 1M input + 5M output | Qianfan-OCR-Fast | $14.73 | $18.18 |
Qianfan-OCR-Fast is $0.68 cheaper per 1M output tokens (19.5% lower; 1.24x difference).
Kimi K2.6 has 196.61K more context (4x larger).
Qianfan-OCR-Fast is $0.39 cheaper on the standard workload (15.8% 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
Qianfan-OCR-Fast has the lower input price; Qianfan-OCR-Fast has the lower output price; Kimi K2.6 offers the larger context window. For the 1M input plus 500K output sample, Qianfan-OCR-Fast 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 $2.48 for Kimi K2.6.
Choose Qianfan-OCR-Fast when you care most about lower input-token price, and lower output-token price.
Choose Kimi K2.6 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Qianfan-OCR-Fast is estimated at $2.08 vs $2.48 for Kimi K2.6, saving $0.39 (15.8% lower).
- Qianfan-OCR-Fast is $0.39 cheaper on the standard workload (15.8% lower).
- Qianfan-OCR-Fast is $0.05 cheaper per 1M input tokens (6.8% lower; 1.07x difference).
- Qianfan-OCR-Fast is $0.68 cheaper per 1M output tokens (19.5% lower; 1.24x difference).
- Kimi K2.6 has 196.61K more context (4x larger).
| Feature | Qianfan-OCR-Fast (Baidu) | Kimi K2.6 (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.68 | $0.73 |
| Completion Price per 1M tokens | $2.81 | $3.49 |
| Sample Workload Cost 1M input + 500K output | $2.08 | $2.48 |
| Context Window | 65.54K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qianfan-OCR-Fast | On the standard 1M input plus 500K output workload, Qianfan-OCR-Fast is estimated at $2.08 vs $2.48 for Kimi K2.6, saving $0.39 (15.8% lower). |
| High-volume input processing | Qianfan-OCR-Fast | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qianfan-OCR-Fast | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Kimi K2.6 | 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.
- Grok 4.20 offers 2M context with $2.5 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.
- 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
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Open Baidu modelsMoonshotAI catalog
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Open MoonshotAI 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.
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...