API cost decision in 10 seconds

Ling-2.6-1T vs Qianfan-OCR-Fast

Pick Ling-2.6-1T when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Ling-2.6-1T when budget and context both matter.

On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $2.08 for Qianfan-OCR-Fast, saving $1.7 (81.4% lower).

Cost-first pickLing-2.6-1T
Context-first pickLing-2.6-1T
Sample savings$1.781.4%
10x traffic gap$16.98

Ling-2.6-1T is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $16.98. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ling-2.6-1T stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLing-2.6-1TQianfan-OCR-Fast
Input-heavy / RAG5M input + 500K outputLing-2.6-1T$0.69$4.81
Balanced workload1M input + 1M outputLing-2.6-1T$0.7$3.49
Output-heavy chatbot1M input + 5M outputLing-2.6-1T$3.2$14.73
Cheaper input Ling-2.6-1T $0.075 vs $0.68 / 1M

Ling-2.6-1T is $0.61 cheaper per 1M input tokens (89% lower; 9.07x difference).

Cheaper output Ling-2.6-1T $0.625 vs $2.81 / 1M

Ling-2.6-1T is $2.19 cheaper per 1M output tokens (77.8% lower; 4.5x difference).

Larger context Ling-2.6-1T 262.14K vs 65.54K

Ling-2.6-1T has 196.61K more context (4x larger).

Sample workload Ling-2.6-1T $0.39 vs $2.08

Ling-2.6-1T is $1.7 cheaper on the standard workload (81.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Ling-2.6-1T Calculating… Estimated API cost
Qianfan-OCR-Fast Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Ling-2.6-1T has the lower input price; Ling-2.6-1T has the lower output price; Ling-2.6-1T offers the larger context window. For the 1M input plus 500K output sample, Ling-2.6-1T is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.39 for Ling-2.6-1T and $2.08 for Qianfan-OCR-Fast.

Best Fit

Choose Ling-2.6-1T 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.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $2.08 for Qianfan-OCR-Fast, saving $1.7 (81.4% lower).
  • Ling-2.6-1T is $1.7 cheaper on the standard workload (81.4% lower).
  • Ling-2.6-1T is $0.61 cheaper per 1M input tokens (89% lower; 9.07x difference).
  • Ling-2.6-1T is $2.19 cheaper per 1M output tokens (77.8% lower; 4.5x difference).
  • Ling-2.6-1T has 196.61K more context (4x larger).
Head-to-Head Specs
FeatureLing-2.6-1T
(inclusionAI)		Qianfan-OCR-Fast
(Baidu)
Input Price
prompt tokens per 1M		$0.075$0.68
Completion Price
per 1M tokens		$0.625$2.81
Sample Workload Cost
1M input + 500K output		$0.39$2.08
Context Window262.14K65.54K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLing-2.6-1TOn the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $2.08 for Qianfan-OCR-Fast, saving $1.7 (81.4% lower).
High-volume input processingLing-2.6-1TLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLing-2.6-1TLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workLing-2.6-1TA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Ling-2.6-flash can replace Ling-2.6-1T when lower sample workload cost matters most: $0.03.
  • 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.
Larger context near this budget
  • 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.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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inclusionAI catalog

Review all tracked inclusionAI models before deciding whether this matchup is the right shortlist.

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Baidu catalog

Check other Baidu models with comparable pricing, context, or release timing.

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Ling-2.6-1T

Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast...

Qianfan-OCR-Fast

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.