API cost decision in 10 seconds

MiMo-V2-Pro vs Qwen3 VL 30B A3B Instruct

Pick Qwen3 VL 30B A3B Instruct for lower cost; pick MiMo-V2-Pro 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 Qwen3 VL 30B A3B Instruct for lower cost; pick MiMo-V2-Pro only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 VL 30B A3B Instruct is estimated at $0.39 vs $2.5 for MiMo-V2-Pro, saving $2.11 (84.4% lower).

Cost-first pickQwen3 VL 30B A3B Instruct
Context-first pickMiMo-V2-Pro
Sample savings$2.1184.4%
10x traffic gap$21.1

MiMo-V2-Pro has more context, but Qwen3 VL 30B A3B Instruct saves $2.11 on the standard workload. At 10x that traffic, the same price gap is about $21.1. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 VL 30B A3B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMiMo-V2-ProQwen3 VL 30B A3B Instruct
Input-heavy / RAG5M input + 500K outputQwen3 VL 30B A3B Instruct$6.5$0.91
Balanced workload1M input + 1M outputQwen3 VL 30B A3B Instruct$4$0.65
Output-heavy chatbot1M input + 5M outputQwen3 VL 30B A3B Instruct$16$2.73
Cheaper input Qwen3 VL 30B A3B Instruct $1 vs $0.13 / 1M

Qwen3 VL 30B A3B Instruct is $0.87 cheaper per 1M input tokens (87% lower; 7.69x difference).

Cheaper output Qwen3 VL 30B A3B Instruct $3 vs $0.52 / 1M

Qwen3 VL 30B A3B Instruct is $2.48 cheaper per 1M output tokens (82.7% lower; 5.77x difference).

Larger context MiMo-V2-Pro 1.05M vs 262.14K

MiMo-V2-Pro has 786.43K more context (4x larger).

Sample workload Qwen3 VL 30B A3B Instruct $2.5 vs $0.39

Qwen3 VL 30B A3B Instruct is $2.11 cheaper on the standard workload (84.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
MiMo-V2-Pro Calculating… Estimated API cost
Qwen3 VL 30B A3B Instruct 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

Qwen3 VL 30B A3B Instruct has the lower input price; Qwen3 VL 30B A3B Instruct has the lower output price; MiMo-V2-Pro offers the larger context window. For the 1M input plus 500K output sample, Qwen3 VL 30B A3B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.5 for MiMo-V2-Pro and $0.39 for Qwen3 VL 30B A3B Instruct.

Best Fit

Choose MiMo-V2-Pro when you care most about larger context window.

Choose Qwen3 VL 30B A3B Instruct 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, Qwen3 VL 30B A3B Instruct is estimated at $0.39 vs $2.5 for MiMo-V2-Pro, saving $2.11 (84.4% lower).
  • Qwen3 VL 30B A3B Instruct is $2.11 cheaper on the standard workload (84.4% lower).
  • Qwen3 VL 30B A3B Instruct is $0.87 cheaper per 1M input tokens (87% lower; 7.69x difference).
  • Qwen3 VL 30B A3B Instruct is $2.48 cheaper per 1M output tokens (82.7% lower; 5.77x difference).
  • MiMo-V2-Pro has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureMiMo-V2-Pro
(Xiaomi)
Qwen3 VL 30B A3B Instruct
(Qwen)
Input Price
prompt tokens per 1M
$1$0.13
Completion Price
per 1M tokens
$3$0.52
Sample Workload Cost
1M input + 500K output
$2.5$0.39
Context Window1.05M262.14K
Release Date
Popularity#74#116

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 VL 30B A3B InstructOn the standard 1M input plus 500K output workload, Qwen3 VL 30B A3B Instruct is estimated at $0.39 vs $2.5 for MiMo-V2-Pro, saving $2.11 (84.4% lower).
High-volume input processingQwen3 VL 30B A3B InstructLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3 VL 30B A3B InstructLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMiMo-V2-ProA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • MiMo-V2-Flash can replace MiMo-V2-Pro when lower sample workload cost matters most: $0.25.
  • MiMo-V2.5 can replace MiMo-V2-Pro when lower sample workload cost matters most: $0.28.
  • MiMo-V2.5-Pro can replace MiMo-V2-Pro when lower sample workload cost matters most: $0.87.
  • MiMo-V2-Omni can replace MiMo-V2-Pro when lower sample workload cost matters most: $1.4.
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.

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

Xiaomi catalog

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

Open Xiaomi models

Qwen catalog

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

Open Qwen models
MiMo-V2-Pro

MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is highly adaptable to general agent frameworks like...

Qwen3 VL 30B A3B Instruct

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...