API cost decision in 10 seconds

Qianfan-OCR-Fast vs MiMo-V2-Omni

Pick MiMo-V2-Omni 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 MiMo-V2-Omni when budget and context both matter.

On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $2.08 for Qianfan-OCR-Fast, saving $0.69 (32.9% lower).

Cost-first pickMiMo-V2-Omni
Context-first pickMiMo-V2-Omni
Sample savings$0.6932.9%
10x traffic gap$6.85

MiMo-V2-Omni is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $6.85. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

MiMo-V2-Omni stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQianfan-OCR-FastMiMo-V2-Omni
Input-heavy / RAG5M input + 500K outputMiMo-V2-Omni$4.81$3
Balanced workload1M input + 1M outputMiMo-V2-Omni$3.49$2.4
Output-heavy chatbot1M input + 5M outputMiMo-V2-Omni$14.73$10.4
Cheaper input MiMo-V2-Omni $0.68 vs $0.4 / 1M

MiMo-V2-Omni is $0.28 cheaper per 1M input tokens (41.2% lower; 1.7x difference).

Cheaper output MiMo-V2-Omni $2.81 vs $2 / 1M

MiMo-V2-Omni is $0.81 cheaper per 1M output tokens (28.8% lower; 1.41x difference).

Larger context MiMo-V2-Omni 65.54K vs 262.14K

MiMo-V2-Omni has 196.61K more context (4x larger).

Sample workload MiMo-V2-Omni $2.08 vs $1.4

MiMo-V2-Omni is $0.69 cheaper on the standard workload (32.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qianfan-OCR-Fast Calculating… Estimated API cost
MiMo-V2-Omni 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

MiMo-V2-Omni has the lower input price; MiMo-V2-Omni has the lower output price; MiMo-V2-Omni offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2-Omni 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 $1.4 for MiMo-V2-Omni.

Best Fit

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

Choose MiMo-V2-Omni 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, MiMo-V2-Omni is estimated at $1.4 vs $2.08 for Qianfan-OCR-Fast, saving $0.69 (32.9% lower).
  • MiMo-V2-Omni is $0.69 cheaper on the standard workload (32.9% lower).
  • MiMo-V2-Omni is $0.28 cheaper per 1M input tokens (41.2% lower; 1.7x difference).
  • MiMo-V2-Omni is $0.81 cheaper per 1M output tokens (28.8% lower; 1.41x difference).
  • MiMo-V2-Omni has 196.61K more context (4x larger).
Head-to-Head Specs
FeatureQianfan-OCR-Fast
(Baidu)		MiMo-V2-Omni
(Xiaomi)
Input Price
prompt tokens per 1M		$0.68$0.4
Completion Price
per 1M tokens		$2.81$2
Sample Workload Cost
1M input + 500K output		$2.08$1.4
Context Window65.54K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMiMo-V2-OmniOn the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $2.08 for Qianfan-OCR-Fast, saving $0.69 (32.9% lower).
High-volume input processingMiMo-V2-OmniLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMiMo-V2-OmniLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMiMo-V2-OmniA 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.

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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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Xiaomi catalog

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

Open Xiaomi 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.

MiMo-V2-Omni

MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with agentic capability - visual grounding, multi-step...