API cost decision in 10 seconds

Gemini 3.1 Pro Preview vs MiMo-V2.5

Pick MiMo-V2.5 when budget is the priority.

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 is the priority.

On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $8 for Gemini 3.1 Pro Preview, saving $7.72 (96.5% lower).

Cost-first pickMiMo-V2.5
Context-first pickBoth models
Sample savings$7.7296.5%
10x traffic gap$77.2

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $77.2. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

MiMo-V2.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemini 3.1 Pro PreviewMiMo-V2.5
Input-heavy / RAG5M input + 500K outputMiMo-V2.5$16$0.84
Balanced workload1M input + 1M outputMiMo-V2.5$14$0.42
Output-heavy chatbot1M input + 5M outputMiMo-V2.5$62$1.54
Cheaper input MiMo-V2.5 $2 vs $0.14 / 1M

MiMo-V2.5 is $1.86 cheaper per 1M input tokens (93% lower; 14.3x difference).

Cheaper output MiMo-V2.5 $12 vs $0.28 / 1M

MiMo-V2.5 is $11.72 cheaper per 1M output tokens (97.7% lower; 42.9x difference).

Larger context Tie 1.05M vs 1.05M

Both models report the same context window at 1.05M tokens.

Sample workload MiMo-V2.5 $8 vs $0.28

MiMo-V2.5 is $7.72 cheaper on the standard workload (96.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemini 3.1 Pro Preview 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

MiMo-V2.5 has the lower input price; MiMo-V2.5 has the lower output price; both models report the same 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 $8 for Gemini 3.1 Pro Preview and $0.28 for MiMo-V2.5.

Best Fit

Choose Gemini 3.1 Pro Preview when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose MiMo-V2.5 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, MiMo-V2.5 is estimated at $0.28 vs $8 for Gemini 3.1 Pro Preview, saving $7.72 (96.5% lower).
  • MiMo-V2.5 is $7.72 cheaper on the standard workload (96.5% lower).
  • MiMo-V2.5 is $1.86 cheaper per 1M input tokens (93% lower; 14.3x difference).
  • MiMo-V2.5 is $11.72 cheaper per 1M output tokens (97.7% lower; 42.9x difference).
  • Both models report the same context window at 1.05M tokens.
Head-to-Head Specs
FeatureGemini 3.1 Pro Preview
(Google)		MiMo-V2.5
(Xiaomi)
Input Price
prompt tokens per 1M		$2$0.14
Completion Price
per 1M tokens		$12$0.28
Sample Workload Cost
1M input + 500K output		$8$0.28
Context Window1.05M1.05M
Release Date
Popularity#28#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 $8 for Gemini 3.1 Pro Preview, saving $7.72 (96.5% lower).
High-volume input processingMiMo-V2.5Lower 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 workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Gemma 4 31B (free) can replace Gemini 3.1 Pro Preview when lower sample workload cost matters most: $0.
  • Gemma 4 26B A4B (free) can replace Gemini 3.1 Pro Preview when lower sample workload cost matters most: $0.
  • Lyria 3 Clip Preview can replace Gemini 3.1 Pro Preview when lower sample workload cost matters most: $0.
  • Lyria 3 Pro Preview can replace Gemini 3.1 Pro Preview 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.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • GPT-5.4 offers 1.05M context with $10 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
Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

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...