API cost decision in 10 seconds

o3 Mini vs MiMo-V2-Omni

Pick MiMo-V2-Omni 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-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 $3.3 for o3 Mini, saving $1.9 (57.6% lower).

Cost-first pickMiMo-V2-Omni
Context-first pickMiMo-V2-Omni
Sample savings$1.957.6%
10x traffic gap$19

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 $19. 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 shapeToken mixBetter picko3 MiniMiMo-V2-Omni
Input-heavy / RAG5M input + 500K outputMiMo-V2-Omni$7.7$3
Balanced workload1M input + 1M outputMiMo-V2-Omni$5.5$2.4
Output-heavy chatbot1M input + 5M outputMiMo-V2-Omni$23.1$10.4
Cheaper input MiMo-V2-Omni $1.1 vs $0.4 / 1M

MiMo-V2-Omni is $0.7 cheaper per 1M input tokens (63.6% lower; 2.75x difference).

Cheaper output MiMo-V2-Omni $4.4 vs $2 / 1M

MiMo-V2-Omni is $2.4 cheaper per 1M output tokens (54.5% lower; 2.2x difference).

Larger context MiMo-V2-Omni 200K vs 262.14K

MiMo-V2-Omni has 62.14K more context (1.31x larger).

Sample workload MiMo-V2-Omni $3.3 vs $1.4

MiMo-V2-Omni is $1.9 cheaper on the standard workload (57.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
o3 Mini Calculating… Estimated API cost
MiMo-V2-Omni 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 $3.3 for o3 Mini and $1.4 for MiMo-V2-Omni.

Best Fit

Choose o3 Mini when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $3.3 for o3 Mini, saving $1.9 (57.6% lower).
  • MiMo-V2-Omni is $1.9 cheaper on the standard workload (57.6% lower).
  • MiMo-V2-Omni is $0.7 cheaper per 1M input tokens (63.6% lower; 2.75x difference).
  • MiMo-V2-Omni is $2.4 cheaper per 1M output tokens (54.5% lower; 2.2x difference).
  • MiMo-V2-Omni has 62.14K more context (1.31x larger).
Head-to-Head Specs
Featureo3 Mini
(OpenAI)		MiMo-V2-Omni
(Xiaomi)
Input Price
prompt tokens per 1M		$1.1$0.4
Completion Price
per 1M tokens		$4.4$2
Sample Workload Cost
1M input + 500K output		$3.3$1.4
Context Window200K262.14K
Release Date
Popularity#120#127

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMiMo-V2-OmniOn the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $3.3 for o3 Mini, saving $1.9 (57.6% lower).
High-volume input processingMiMo-V2-OmniLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMiMo-V2-OmniLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMiMo-V2-OmniA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace o3 Mini when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace o3 Mini when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace o3 Mini when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace o3 Mini when lower sample workload cost matters most: $0.13.
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.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 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.

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OpenAI catalog

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

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Xiaomi catalog

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

Open Xiaomi models
o3 Mini

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...

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...