API cost decision in 10 seconds

MiMo-V2.5 vs Gemma 4 31B

Pick Gemma 4 31B for lower cost; pick MiMo-V2.5 only if the larger context window matters more.

Page updated: 2026-05-26T10:03:26Z Data confirmed: 2026-05-26T12:38:15Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemma 4 31B for lower cost; pick MiMo-V2.5 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 $1.4 for MiMo-V2.5, saving $1.09 (78.2% lower).

Cost-first pickGemma 4 31B

Context-first pickMiMo-V2.5

Sample savings$1.0978.2%

10x traffic gap$10.95

MiMo-V2.5 has more context, but Gemma 4 31B saves $1.09 on the standard workload. At 10x that traffic, the same price gap is about $10.95. 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 shape	Token mix	Better pick	MiMo-V2.5	Gemma 4 31B
Input-heavy / RAG	5M input + 500K output	Gemma 4 31B	$3	$0.78
Balanced workload	1M input + 1M output	Gemma 4 31B	$2.4	$0.49
Output-heavy chatbot	1M input + 5M output	Gemma 4 31B	$10.4	$1.97

Cheaper input Gemma 4 31B $0.4 vs $0.12 / 1M

Gemma 4 31B is $0.28 cheaper per 1M input tokens (70% lower; 3.33x difference).

Cheaper output Gemma 4 31B $2 vs $0.37 / 1M

Gemma 4 31B is $1.63 cheaper per 1M output tokens (81.5% lower; 5.41x difference).

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

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

Sample workload Gemma 4 31B $1.4 vs $0.3

Gemma 4 31B is $1.09 cheaper on the standard workload (78.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

MiMo-V2.5 Calculating… Estimated API cost

Gemma 4 31B 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-V2.5 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 $1.4 for MiMo-V2.5 and $0.3 for Gemma 4 31B.

Best Fit

Choose MiMo-V2.5 when you care most about larger context window.

Choose Gemma 4 31B 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, Gemma 4 31B is estimated at $0.3 vs $1.4 for MiMo-V2.5, saving $1.09 (78.2% lower).
Gemma 4 31B is $1.09 cheaper on the standard workload (78.2% lower).
Gemma 4 31B is $0.28 cheaper per 1M input tokens (70% lower; 3.33x difference).
Gemma 4 31B is $1.63 cheaper per 1M output tokens (81.5% lower; 5.41x difference).
MiMo-V2.5 has 786.43K more context (4x larger).

Head-to-Head Specs

Feature	MiMo-V2.5 (Xiaomi)	Gemma 4 31B (Google)
Input Price prompt tokens per 1M	$0.4	$0.12
Completion Price per 1M tokens	$2	$0.37
Sample Workload Cost 1M input + 500K output	$1.4	$0.3
Context Window	1.05M	262.14K
Release Date	2026-04-22	2026-04-02

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Gemma 4 31B	On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $1.4 for MiMo-V2.5, saving $1.09 (78.2% lower).
High-volume input processing	Gemma 4 31B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Gemma 4 31B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	MiMo-V2.5	A 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-V2.5 when lower sample workload cost matters most: $0.25.
Gemma 4 26B A4B (free) can replace Gemma 4 31B when lower sample workload cost matters most: $0.
Gemma 4 31B (free) can replace Gemma 4 31B when lower sample workload cost matters most: $0.
Lyria 3 Pro Preview can replace Gemma 4 31B 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.
Owl Alpha offers 1.05M context with $0 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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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.

Open provider hubs

Xiaomi catalog

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

Open Xiaomi models

Google catalog

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

Open Google models

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...

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...