API cost decision in 10 seconds

Qianfan-OCR-Fast vs DeepSeek V3.2 Speciale

Pick DeepSeek V3.2 Speciale 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 DeepSeek V3.2 Speciale when budget and context both matter.

On the standard 1M input plus 500K output workload, DeepSeek V3.2 Speciale is estimated at $0.5 vs $2.08 for Qianfan-OCR-Fast, saving $1.58 (75.9% lower).

Cost-first pickDeepSeek V3.2 Speciale
Context-first pickDeepSeek V3.2 Speciale
Sample savings$1.5875.9%
10x traffic gap$15.82

DeepSeek V3.2 Speciale is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $15.82. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek V3.2 Speciale stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQianfan-OCR-FastDeepSeek V3.2 Speciale
Input-heavy / RAG5M input + 500K outputDeepSeek V3.2 Speciale$4.81$1.65
Balanced workload1M input + 1M outputDeepSeek V3.2 Speciale$3.49$0.72
Output-heavy chatbot1M input + 5M outputDeepSeek V3.2 Speciale$14.73$2.44
Cheaper input DeepSeek V3.2 Speciale $0.68 vs $0.287 / 1M

DeepSeek V3.2 Speciale is $0.39 cheaper per 1M input tokens (57.8% lower; 2.37x difference).

Cheaper output DeepSeek V3.2 Speciale $2.81 vs $0.431 / 1M

DeepSeek V3.2 Speciale is $2.38 cheaper per 1M output tokens (84.7% lower; 6.52x difference).

Larger context DeepSeek V3.2 Speciale 65.54K vs 163.84K

DeepSeek V3.2 Speciale has 98.3K more context (2.5x larger).

Sample workload DeepSeek V3.2 Speciale $2.08 vs $0.5

DeepSeek V3.2 Speciale is $1.58 cheaper on the standard workload (75.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qianfan-OCR-Fast Calculating… Estimated API cost
DeepSeek V3.2 Speciale 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

DeepSeek V3.2 Speciale has the lower input price; DeepSeek V3.2 Speciale has the lower output price; DeepSeek V3.2 Speciale offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.2 Speciale 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 $0.5 for DeepSeek V3.2 Speciale.

Best Fit

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

Choose DeepSeek V3.2 Speciale 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, DeepSeek V3.2 Speciale is estimated at $0.5 vs $2.08 for Qianfan-OCR-Fast, saving $1.58 (75.9% lower).
  • DeepSeek V3.2 Speciale is $1.58 cheaper on the standard workload (75.9% lower).
  • DeepSeek V3.2 Speciale is $0.39 cheaper per 1M input tokens (57.8% lower; 2.37x difference).
  • DeepSeek V3.2 Speciale is $2.38 cheaper per 1M output tokens (84.7% lower; 6.52x difference).
  • DeepSeek V3.2 Speciale has 98.3K more context (2.5x larger).
Head-to-Head Specs
FeatureQianfan-OCR-Fast
(Baidu)
DeepSeek V3.2 Speciale
(DeepSeek)
Input Price
prompt tokens per 1M
$0.68$0.287
Completion Price
per 1M tokens
$2.81$0.431
Sample Workload Cost
1M input + 500K output
$2.08$0.5
Context Window65.54K163.84K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V3.2 SpecialeOn the standard 1M input plus 500K output workload, DeepSeek V3.2 Speciale is estimated at $0.5 vs $2.08 for Qianfan-OCR-Fast, saving $1.58 (75.9% lower).
High-volume input processingDeepSeek V3.2 SpecialeLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V3.2 SpecialeLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V3.2 SpecialeA 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.

Open largest context models

Provider catalogs

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

Open provider hubs

Baidu catalog

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

Open Baidu models

DeepSeek catalog

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

Open DeepSeek models
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.

DeepSeek V3.2 Speciale

DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning...