API cost decision in 10 seconds

Qianfan-OCR-Fast vs GPT Audio Mini

Pick GPT Audio Mini 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 GPT Audio Mini when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT Audio Mini is estimated at $1.8 vs $2.08 for Qianfan-OCR-Fast, saving $0.29 (13.7% lower).

Cost-first pickGPT Audio Mini
Context-first pickGPT Audio Mini
Sample savings$0.2913.7%
10x traffic gap$2.85

GPT Audio Mini is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.85. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT Audio Mini stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQianfan-OCR-FastGPT Audio Mini
Input-heavy / RAG5M input + 500K outputGPT Audio Mini$4.81$4.2
Balanced workload1M input + 1M outputGPT Audio Mini$3.49$3
Output-heavy chatbot1M input + 5M outputGPT Audio Mini$14.73$12.6
Cheaper input GPT Audio Mini $0.68 vs $0.6 / 1M

GPT Audio Mini is $0.08 cheaper per 1M input tokens (11.8% lower; 1.13x difference).

Cheaper output GPT Audio Mini $2.81 vs $2.4 / 1M

GPT Audio Mini is $0.41 cheaper per 1M output tokens (14.6% lower; 1.17x difference).

Larger context GPT Audio Mini 65.54K vs 128K

GPT Audio Mini has 62.46K more context (1.95x larger).

Sample workload GPT Audio Mini $2.08 vs $1.8

GPT Audio Mini is $0.29 cheaper on the standard workload (13.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qianfan-OCR-Fast Calculating… Estimated API cost
GPT Audio Mini 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

GPT Audio Mini has the lower input price; GPT Audio Mini has the lower output price; GPT Audio Mini offers the larger context window. For the 1M input plus 500K output sample, GPT Audio Mini 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 $1.8 for GPT Audio Mini.

Best Fit

Choose Qianfan-OCR-Fast when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose GPT Audio Mini when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, GPT Audio Mini is estimated at $1.8 vs $2.08 for Qianfan-OCR-Fast, saving $0.29 (13.7% lower).
  • GPT Audio Mini is $0.29 cheaper on the standard workload (13.7% lower).
  • GPT Audio Mini is $0.08 cheaper per 1M input tokens (11.8% lower; 1.13x difference).
  • GPT Audio Mini is $0.41 cheaper per 1M output tokens (14.6% lower; 1.17x difference).
  • GPT Audio Mini has 62.46K more context (1.95x larger).
Head-to-Head Specs
FeatureQianfan-OCR-Fast
(Baidu)		GPT Audio Mini
(OpenAI)
Input Price
prompt tokens per 1M		$0.68$0.6
Completion Price
per 1M tokens		$2.81$2.4
Sample Workload Cost
1M input + 500K output		$2.08$1.8
Context Window65.54K128K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT Audio MiniOn the standard 1M input plus 500K output workload, GPT Audio Mini is estimated at $1.8 vs $2.08 for Qianfan-OCR-Fast, saving $0.29 (13.7% lower).
High-volume input processingGPT Audio MiniLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGPT Audio MiniLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT Audio MiniA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • 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.
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.

Open cheapest models

Larger context alternatives

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

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Provider catalogs

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

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Baidu catalog

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

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OpenAI catalog

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

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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.

GPT Audio Mini

A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...