API cost decision in 10 seconds

NewQwen3.8 2.4T A95B vs Qianfan-OCR-Fast

Pick Qianfan-OCR-Fast for lower cost; pick Qwen3.8 2.4T A95B only if the larger context window matters more.

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

Budget verdict

Pick Qianfan-OCR-Fast for lower cost; pick Qwen3.8 2.4T A95B 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 $5 for Qwen3.8 2.4T A95B, saving $2.92 (58.3% lower).

Cost-first pickQianfan-OCR-Fast
Context-first pickQwen3.8 2.4T A95B
Sample savings$2.9258.3%
10x traffic gap$29.15

Qwen3.8 2.4T A95B has more context, but Qianfan-OCR-Fast saves $2.92 on the standard workload. At 10x that traffic, the same price gap is about $29.15. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qianfan-OCR-Fast stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.8 2.4T A95BQianfan-OCR-Fast
Input-heavy / RAG5M input + 500K outputQianfan-OCR-Fast$13$4.81
Balanced workload1M input + 1M outputQianfan-OCR-Fast$8$3.49
Output-heavy chatbot1M input + 5M outputQianfan-OCR-Fast$32$14.73
Cheaper input Qianfan-OCR-Fast $2 vs $0.68 / 1M

Qianfan-OCR-Fast is $1.32 cheaper per 1M input tokens (66% lower; 2.94x difference).

Cheaper output Qianfan-OCR-Fast $6 vs $2.81 / 1M

Qianfan-OCR-Fast is $3.19 cheaper per 1M output tokens (53.2% lower; 2.14x difference).

Larger context Qwen3.8 2.4T A95B 1.05M vs 65.54K

Qwen3.8 2.4T A95B has 983.04K more context (16x larger).

Sample workload Qianfan-OCR-Fast $5 vs $2.08

Qianfan-OCR-Fast is $2.92 cheaper on the standard workload (58.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.8 2.4T A95B 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

Qianfan-OCR-Fast has the lower input price; Qianfan-OCR-Fast has the lower output price; Qwen3.8 2.4T A95B 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 $5 for Qwen3.8 2.4T A95B and $2.08 for Qianfan-OCR-Fast.

Best Fit

Choose Qwen3.8 2.4T A95B when you care most about larger context window.

Choose Qianfan-OCR-Fast when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qianfan-OCR-Fast is estimated at $2.08 vs $5 for Qwen3.8 2.4T A95B, saving $2.92 (58.3% lower).
  • Qianfan-OCR-Fast is $2.92 cheaper on the standard workload (58.3% lower).
  • Qianfan-OCR-Fast is $1.32 cheaper per 1M input tokens (66% lower; 2.94x difference).
  • Qianfan-OCR-Fast is $3.19 cheaper per 1M output tokens (53.2% lower; 2.14x difference).
  • Qwen3.8 2.4T A95B has 983.04K more context (16x larger).
Head-to-Head Specs
FeatureNewQwen3.8 2.4T A95B
(Qwen)
Qianfan-OCR-Fast
(Baidu)
Input Price
prompt tokens per 1M
$2$0.68
Completion Price
per 1M tokens
$6$2.81
Sample Workload Cost
1M input + 500K output
$5$2.08
Context Window1.05M65.54K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQianfan-OCR-FastOn the standard 1M input plus 500K output workload, Qianfan-OCR-Fast is estimated at $2.08 vs $5 for Qwen3.8 2.4T A95B, saving $2.92 (58.3% lower).
High-volume input processingQianfan-OCR-FastLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQianfan-OCR-FastLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.8 2.4T A95BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Larger context alternatives

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Provider catalogs

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Qwen catalog

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Baidu catalog

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Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...

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.