Ling-2.6-flash is $0.67 cheaper per 1M input tokens (98.5% lower; 68x difference).
API cost decision in 10 seconds
Ling-2.6-flash vs Qianfan-OCR-Fast
Pick Ling-2.6-flash when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ling-2.6-flash when budget and context both matter.
On the standard 1M input plus 500K output workload, Ling-2.6-flash is estimated at $0.03 vs $2.08 for Qianfan-OCR-Fast, saving $2.06 (98.8% lower).
Cost-first pickLing-2.6-flash
Context-first pickLing-2.6-flash
Sample savings$2.0698.8%
10x traffic gap$20.6
Ling-2.6-flash is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $20.6. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ling-2.6-flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ling-2.6-flash | Qianfan-OCR-Fast |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling-2.6-flash | $0.07 | $4.81 |
| Balanced workload | 1M input + 1M output | Ling-2.6-flash | $0.04 | $3.49 |
| Output-heavy chatbot | 1M input + 5M output | Ling-2.6-flash | $0.16 | $14.73 |
Ling-2.6-flash is $2.78 cheaper per 1M output tokens (98.9% lower; 93.7x difference).
Ling-2.6-flash has 196.61K more context (4x larger).
Ling-2.6-flash is $2.06 cheaper on the standard workload (98.8% 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
Ling-2.6-flash has the lower input price; Ling-2.6-flash has the lower output price; Ling-2.6-flash offers the larger context window. For the 1M input plus 500K output sample, Ling-2.6-flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.03 for Ling-2.6-flash and $2.08 for Qianfan-OCR-Fast.
Choose Ling-2.6-flash 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, Ling-2.6-flash is estimated at $0.03 vs $2.08 for Qianfan-OCR-Fast, saving $2.06 (98.8% lower).
- Ling-2.6-flash is $2.06 cheaper on the standard workload (98.8% lower).
- Ling-2.6-flash is $0.67 cheaper per 1M input tokens (98.5% lower; 68x difference).
- Ling-2.6-flash is $2.78 cheaper per 1M output tokens (98.9% lower; 93.7x difference).
- Ling-2.6-flash has 196.61K more context (4x larger).
| Feature | Ling-2.6-flash (inclusionAI) | Qianfan-OCR-Fast (Baidu) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.01 | $0.68 |
| Completion Price per 1M tokens | $0.03 | $2.81 |
| Sample Workload Cost 1M input + 500K output | $0.03 | $2.08 |
| Context Window | 262.14K | 65.54K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling-2.6-flash | On the standard 1M input plus 500K output workload, Ling-2.6-flash is estimated at $0.03 vs $2.08 for Qianfan-OCR-Fast, saving $2.06 (98.8% lower). |
| High-volume input processing | Ling-2.6-flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ling-2.6-flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ling-2.6-flash | 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
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Open provider hubsinclusionAI catalog
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Open inclusionAI modelsBaidu catalog
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Open Baidu modelsLing-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency....
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.