API cost decision in 10 seconds

MiMo-V2-Pro vs Kimi K2 0711

Pick Kimi K2 0711 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 Kimi K2 0711 for lower cost; pick MiMo-V2-Pro only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Kimi K2 0711 is estimated at $1.72 vs $2.5 for MiMo-V2-Pro, saving $0.78 (31.2% lower).

Cost-first pickKimi K2 0711
Context-first pickMiMo-V2-Pro
Sample savings$0.7831.2%
10x traffic gap$7.8

MiMo-V2-Pro has more context, but Kimi K2 0711 saves $0.78 on the standard workload. At 10x that traffic, the same price gap is about $7.8. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Kimi K2 0711 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMiMo-V2-ProKimi K2 0711
Input-heavy / RAG5M input + 500K outputKimi K2 0711$6.5$4
Balanced workload1M input + 1M outputKimi K2 0711$4$2.87
Output-heavy chatbot1M input + 5M outputKimi K2 0711$16$12.07
Cheaper input Kimi K2 0711 $1 vs $0.57 / 1M

Kimi K2 0711 is $0.43 cheaper per 1M input tokens (43% lower; 1.75x difference).

Cheaper output Kimi K2 0711 $3 vs $2.3 / 1M

Kimi K2 0711 is $0.7 cheaper per 1M output tokens (23.3% lower; 1.3x difference).

Larger context MiMo-V2-Pro 1.05M vs 131.07K

MiMo-V2-Pro has 917.5K more context (8x larger).

Sample workload Kimi K2 0711 $2.5 vs $1.72

Kimi K2 0711 is $0.78 cheaper on the standard workload (31.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
MiMo-V2-Pro Calculating… Estimated API cost
Kimi K2 0711 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

Kimi K2 0711 has the lower input price; Kimi K2 0711 has the lower output price; MiMo-V2-Pro offers the larger context window. For the 1M input plus 500K output sample, Kimi K2 0711 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 $1.72 for Kimi K2 0711.

Best Fit

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

Choose Kimi K2 0711 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, Kimi K2 0711 is estimated at $1.72 vs $2.5 for MiMo-V2-Pro, saving $0.78 (31.2% lower).
  • Kimi K2 0711 is $0.78 cheaper on the standard workload (31.2% lower).
  • Kimi K2 0711 is $0.43 cheaper per 1M input tokens (43% lower; 1.75x difference).
  • Kimi K2 0711 is $0.7 cheaper per 1M output tokens (23.3% lower; 1.3x difference).
  • MiMo-V2-Pro has 917.5K more context (8x larger).
Head-to-Head Specs
FeatureMiMo-V2-Pro
(Xiaomi)		Kimi K2 0711
(MoonshotAI)
Input Price
prompt tokens per 1M		$1$0.57
Completion Price
per 1M tokens		$3$2.3
Sample Workload Cost
1M input + 500K output		$2.5$1.72
Context Window1.05M131.07K
Release Date
Popularity#74#140

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionKimi K2 0711On the standard 1M input plus 500K output workload, Kimi K2 0711 is estimated at $1.72 vs $2.5 for MiMo-V2-Pro, saving $0.78 (31.2% lower).
High-volume input processingKimi K2 0711Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsKimi K2 0711Lower 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

MoonshotAI catalog

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

Open MoonshotAI 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...

Kimi K2 0711

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...