API cost decision in 10 seconds

GLM 5V Turbo vs MiMo-V2-Pro

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

Pricing data updated:  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 $3.2 for GLM 5V Turbo, saving $0.7 (21.9% lower).

Cost-first pickMiMo-V2-Pro
Context-first pickMiMo-V2-Pro
Sample savings$0.721.9%
10x traffic gap$7

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 $7. 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-Pro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGLM 5V TurboMiMo-V2-Pro
Input-heavy / RAG5M input + 500K outputMiMo-V2-Pro$8$6.5
Balanced workload1M input + 1M outputMiMo-V2-Pro$5.2$4
Output-heavy chatbot1M input + 5M outputMiMo-V2-Pro$21.2$16
Cheaper input MiMo-V2-Pro $1.2 vs $1 / 1M

MiMo-V2-Pro is $0.2 cheaper per 1M input tokens (16.7% lower; 1.2x difference).

Cheaper output MiMo-V2-Pro $4 vs $3 / 1M

MiMo-V2-Pro is $1 cheaper per 1M output tokens (25% lower; 1.33x difference).

Larger context MiMo-V2-Pro 202.75K vs 1.05M

MiMo-V2-Pro has 845.82K more context (5.17x larger).

Sample workload MiMo-V2-Pro $3.2 vs $2.5

MiMo-V2-Pro is $0.7 cheaper on the standard workload (21.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 5V Turbo Calculating… Estimated API cost
MiMo-V2-Pro 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-Pro 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 $3.2 for GLM 5V Turbo and $2.5 for MiMo-V2-Pro.

Best Fit

Choose GLM 5V Turbo when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose MiMo-V2-Pro 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-Pro is estimated at $2.5 vs $3.2 for GLM 5V Turbo, saving $0.7 (21.9% lower).
  • MiMo-V2-Pro is $0.7 cheaper on the standard workload (21.9% lower).
  • MiMo-V2-Pro is $0.2 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
  • MiMo-V2-Pro is $1 cheaper per 1M output tokens (25% lower; 1.33x difference).
  • MiMo-V2-Pro has 845.82K more context (5.17x larger).
Head-to-Head Specs
FeatureGLM 5V Turbo
(Z.ai)		MiMo-V2-Pro
(Xiaomi)
Input Price
prompt tokens per 1M		$1.2$1
Completion Price
per 1M tokens		$4$3
Sample Workload Cost
1M input + 500K output		$3.2$2.5
Context Window202.75K1.05M
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 $3.2 for GLM 5V Turbo, saving $0.7 (21.9% lower).
High-volume input processingMiMo-V2-ProLower 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
  • GLM 4.5 Air (free) can replace GLM 5V Turbo when lower sample workload cost matters most: $0.
  • GLM 4 32B can replace GLM 5V Turbo when lower sample workload cost matters most: $0.15.
  • GLM 4.7 Flash can replace GLM 5V Turbo when lower sample workload cost matters most: $0.26.
  • GLM 4.5 Air can replace GLM 5V Turbo when lower sample workload cost matters most: $0.55.
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.
Popular competitors
  • No popular competitor is currently available.

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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Z.ai catalog

Review all tracked Z.ai 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.

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GLM 5V Turbo

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...

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...