API cost decision in 10 seconds

MiMo-V2-Pro vs Qwen3 Max Thinking

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

On the standard 1M input plus 500K output workload, MiMo-V2-Pro is estimated at $2.5 vs $2.73 for Qwen3 Max Thinking, saving $0.23 (8.4% lower).

Cost-first pickMiMo-V2-Pro
Context-first pickMiMo-V2-Pro
Sample savings$0.238.4%
10x traffic gap$2.3

MiMo-V2-Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.3. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3 Max Thinking, balanced workload favors MiMo-V2-Pro, and output-heavy chatbot favors MiMo-V2-Pro.

Workload shapeToken mixBetter pickMiMo-V2-ProQwen3 Max Thinking
Input-heavy / RAG5M input + 500K outputQwen3 Max Thinking$6.5$5.85
Balanced workload1M input + 1M outputMiMo-V2-Pro$4$4.68
Output-heavy chatbot1M input + 5M outputMiMo-V2-Pro$16$20.28
Cheaper input Qwen3 Max Thinking $1 vs $0.78 / 1M

Qwen3 Max Thinking is $0.22 cheaper per 1M input tokens (22% lower; 1.28x difference).

Cheaper output MiMo-V2-Pro $3 vs $3.9 / 1M

MiMo-V2-Pro is $0.9 cheaper per 1M output tokens (23.1% lower; 1.3x difference).

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

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

Sample workload MiMo-V2-Pro $2.5 vs $2.73

MiMo-V2-Pro is $0.23 cheaper on the standard workload (8.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
MiMo-V2-Pro Calculating… Estimated API cost
Qwen3 Max Thinking 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 Max Thinking has the lower input price; MiMo-V2-Pro has the lower output price; MiMo-V2-Pro offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2-Pro 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 $2.73 for Qwen3 Max Thinking.

Best Fit

Choose MiMo-V2-Pro when you care most about lower output-token price, and larger context window.

Choose Qwen3 Max Thinking when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, MiMo-V2-Pro is estimated at $2.5 vs $2.73 for Qwen3 Max Thinking, saving $0.23 (8.4% lower).
  • MiMo-V2-Pro is $0.23 cheaper on the standard workload (8.4% lower).
  • Qwen3 Max Thinking is $0.22 cheaper per 1M input tokens (22% lower; 1.28x difference).
  • MiMo-V2-Pro is $0.9 cheaper per 1M output tokens (23.1% lower; 1.3x difference).
  • MiMo-V2-Pro has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureMiMo-V2-Pro
(Xiaomi)
Qwen3 Max Thinking
(Qwen)
Input Price
prompt tokens per 1M
$1$0.78
Completion Price
per 1M tokens
$3$3.9
Sample Workload Cost
1M input + 500K output
$2.5$2.73
Context Window1.05M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMiMo-V2-ProOn the standard 1M input plus 500K output workload, MiMo-V2-Pro is estimated at $2.5 vs $2.73 for Qwen3 Max Thinking, saving $0.23 (8.4% lower).
High-volume input processingQwen3 Max ThinkingLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMiMo-V2-ProLower 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: $1.4.
  • MiMo-V2-Omni can replace MiMo-V2-Pro when lower sample workload cost matters most: $1.4.
  • Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.
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 Max Thinking

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...