API cost decision in 10 seconds

Gemma 4 31B vs MiMo-V2.5

Pick MiMo-V2.5 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-V2.5 when budget and context both matter.

On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $0.3 for Gemma 4 31B, saving $0.02 (8.2% lower).

Cost-first pickMiMo-V2.5
Context-first pickMiMo-V2.5
Sample savings$0.028.2%
10x traffic gap$0.25

MiMo-V2.5 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.25. 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 Gemma 4 31B, balanced workload favors MiMo-V2.5, and output-heavy chatbot favors MiMo-V2.5.

Workload shapeToken mixBetter pickGemma 4 31BMiMo-V2.5
Input-heavy / RAG5M input + 500K outputGemma 4 31B$0.78$0.84
Balanced workload1M input + 1M outputMiMo-V2.5$0.49$0.42
Output-heavy chatbot1M input + 5M outputMiMo-V2.5$1.97$1.54
Cheaper input Gemma 4 31B $0.12 vs $0.14 / 1M

Gemma 4 31B is $0.02 cheaper per 1M input tokens (14.3% lower; 1.17x difference).

Cheaper output MiMo-V2.5 $0.37 vs $0.28 / 1M

MiMo-V2.5 is $0.09 cheaper per 1M output tokens (24.3% lower; 1.32x difference).

Larger context MiMo-V2.5 262.14K vs 1.05M

MiMo-V2.5 has 786.43K more context (4x larger).

Sample workload MiMo-V2.5 $0.3 vs $0.28

MiMo-V2.5 is $0.02 cheaper on the standard workload (8.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B Calculating… Estimated API cost
MiMo-V2.5 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; MiMo-V2.5 has the lower output price; MiMo-V2.5 offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2.5 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 $0.28 for MiMo-V2.5.

Best Fit

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

Choose MiMo-V2.5 when you care most about lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $0.3 for Gemma 4 31B, saving $0.02 (8.2% lower).
  • MiMo-V2.5 is $0.02 cheaper on the standard workload (8.2% lower).
  • Gemma 4 31B is $0.02 cheaper per 1M input tokens (14.3% lower; 1.17x difference).
  • MiMo-V2.5 is $0.09 cheaper per 1M output tokens (24.3% lower; 1.32x difference).
  • MiMo-V2.5 has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureGemma 4 31B
(Google)
MiMo-V2.5
(Xiaomi)
Input Price
prompt tokens per 1M
$0.12$0.14
Completion Price
per 1M tokens
$0.37$0.28
Sample Workload Cost
1M input + 500K output
$0.3$0.28
Context Window262.14K1.05M
Release Date
Popularity#27#39

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMiMo-V2.5On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $0.3 for Gemma 4 31B, saving $0.02 (8.2% lower).
High-volume input processingGemma 4 31BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMiMo-V2.5Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMiMo-V2.5A 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.
  • 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

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-V2.5

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...