API cost decision in 10 seconds

MiMo-V2-Omni vs R1

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

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

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

On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $1.95 for R1, saving $0.55 (28.2% lower).

Cost-first pickMiMo-V2-Omni

Context-first pickMiMo-V2-Omni

Sample savings$0.5528.2%

10x traffic gap$5.5

MiMo-V2-Omni is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $5.5. 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-Omni stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	MiMo-V2-Omni	R1
Input-heavy / RAG	5M input + 500K output	MiMo-V2-Omni	$3	$4.75
Balanced workload	1M input + 1M output	MiMo-V2-Omni	$2.4	$3.2
Output-heavy chatbot	1M input + 5M output	MiMo-V2-Omni	$10.4	$13.2

Cheaper input MiMo-V2-Omni $0.4 vs $0.7 / 1M

MiMo-V2-Omni is $0.3 cheaper per 1M input tokens (42.9% lower; 1.75x difference).

Cheaper output MiMo-V2-Omni $2 vs $2.5 / 1M

MiMo-V2-Omni is $0.5 cheaper per 1M output tokens (20% lower; 1.25x difference).

Larger context MiMo-V2-Omni 262.14K vs 163.84K

MiMo-V2-Omni has 98.3K more context (1.6x larger).

Sample workload MiMo-V2-Omni $1.4 vs $1.95

MiMo-V2-Omni is $0.55 cheaper on the standard workload (28.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

MiMo-V2-Omni Calculating… Estimated API cost

R1 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-Omni has the lower input price; MiMo-V2-Omni has the lower output price; MiMo-V2-Omni offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2-Omni 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-Omni and $1.95 for R1.

Best Fit

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

Choose R1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $1.95 for R1, saving $0.55 (28.2% lower).
MiMo-V2-Omni is $0.55 cheaper on the standard workload (28.2% lower).
MiMo-V2-Omni is $0.3 cheaper per 1M input tokens (42.9% lower; 1.75x difference).
MiMo-V2-Omni is $0.5 cheaper per 1M output tokens (20% lower; 1.25x difference).
MiMo-V2-Omni has 98.3K more context (1.6x larger).

Head-to-Head Specs

Feature	MiMo-V2-Omni (Xiaomi)	R1 (DeepSeek)
Input Price prompt tokens per 1M	$0.4	$0.7
Completion Price per 1M tokens	$2	$2.5
Sample Workload Cost 1M input + 500K output	$1.4	$1.95
Context Window	262.14K	163.84K
Release Date	2026-03-18	2025-01-20
Popularity	#127	#144

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	MiMo-V2-Omni	On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $1.95 for R1, saving $0.55 (28.2% lower).
High-volume input processing	MiMo-V2-Omni	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	MiMo-V2-Omni	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	MiMo-V2-Omni	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-Omni when lower sample workload cost matters most: $0.25.
MiMo-V2.5 can replace MiMo-V2-Omni when lower sample workload cost matters most: $0.28.
MiMo-V2.5-Pro can replace MiMo-V2-Omni when lower sample workload cost matters most: $0.87.
DeepSeek V4 Flash (free) can replace R1 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.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 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.

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Xiaomi catalog

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

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DeepSeek catalog

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

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MiMo-V2-Omni

MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with agentic capability - visual grounding, multi-step...

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....