API cost decision in 10 seconds

Gemma 4 31B vs MiMo-V2-Pro

Pick Gemma 4 31B 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 Gemma 4 31B for lower cost; pick MiMo-V2-Pro only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $2.5 for MiMo-V2-Pro, saving $2.19 (87.8% lower).

Cost-first pickGemma 4 31B
Context-first pickMiMo-V2-Pro
Sample savings$2.1987.8%
10x traffic gap$21.95

MiMo-V2-Pro has more context, but Gemma 4 31B saves $2.19 on the standard workload. At 10x that traffic, the same price gap is about $21.95. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemma 4 31B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemma 4 31BMiMo-V2-Pro
Input-heavy / RAG5M input + 500K outputGemma 4 31B$0.78$6.5
Balanced workload1M input + 1M outputGemma 4 31B$0.49$4
Output-heavy chatbot1M input + 5M outputGemma 4 31B$1.97$16
Cheaper input Gemma 4 31B $0.12 vs $1 / 1M

Gemma 4 31B is $0.88 cheaper per 1M input tokens (88% lower; 8.33x difference).

Cheaper output Gemma 4 31B $0.37 vs $3 / 1M

Gemma 4 31B is $2.63 cheaper per 1M output tokens (87.7% lower; 8.11x difference).

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

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

Sample workload Gemma 4 31B $0.3 vs $2.5

Gemma 4 31B is $2.19 cheaper on the standard workload (87.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B 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

Gemma 4 31B has the lower input price; Gemma 4 31B has the lower output price; MiMo-V2-Pro offers the larger context window. For the 1M input plus 500K output sample, Gemma 4 31B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.3 for Gemma 4 31B and $2.5 for MiMo-V2-Pro.

Best Fit

Choose Gemma 4 31B when you care most about lower input-token price, and lower output-token price.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $2.5 for MiMo-V2-Pro, saving $2.19 (87.8% lower).
  • Gemma 4 31B is $2.19 cheaper on the standard workload (87.8% lower).
  • Gemma 4 31B is $0.88 cheaper per 1M input tokens (88% lower; 8.33x difference).
  • Gemma 4 31B is $2.63 cheaper per 1M output tokens (87.7% lower; 8.11x difference).
  • MiMo-V2-Pro has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureGemma 4 31B
(Google)
MiMo-V2-Pro
(Xiaomi)
Input Price
prompt tokens per 1M
$0.12$1
Completion Price
per 1M tokens
$0.37$3
Sample Workload Cost
1M input + 500K output
$0.3$2.5
Context Window262.14K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 4 31BOn the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $2.5 for MiMo-V2-Pro, saving $2.19 (87.8% lower).
High-volume input processingGemma 4 31BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 4 31BLower 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
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.

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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

Google catalog

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

Open Google models

Xiaomi catalog

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

Open Xiaomi models
Gemma 4 31B

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

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...