MiMo-V2-Omni is $29.6 cheaper per 1M input tokens (98.7% lower; 75x difference).
API cost decision in 10 seconds
MiMo-V2-Omni vs GPT-5.4 Pro
Pick MiMo-V2-Omni for lower cost; pick GPT-5.4 Pro only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiMo-V2-Omni for lower cost; pick GPT-5.4 Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $120 for GPT-5.4 Pro, saving $118.6 (98.8% lower).
Cost-first pickMiMo-V2-Omni
Context-first pickGPT-5.4 Pro
Sample savings$118.698.8%
10x traffic gap$1186
GPT-5.4 Pro has more context, but MiMo-V2-Omni saves $118.6 on the standard workload. At 10x that traffic, the same price gap is about $1186. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiMo-V2-Omni stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiMo-V2-Omni | GPT-5.4 Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2-Omni | $3 | $240 |
| Balanced workload | 1M input + 1M output | MiMo-V2-Omni | $2.4 | $210 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2-Omni | $10.4 | $930 |
MiMo-V2-Omni is $178 cheaper per 1M output tokens (98.9% lower; 90x difference).
GPT-5.4 Pro has 787.86K more context (4.01x larger).
MiMo-V2-Omni is $118.6 cheaper on the standard workload (98.8% lower).
Estimate your workload cost
Your Workload Cost
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
MiMo-V2-Omni has the lower input price; MiMo-V2-Omni has the lower output price; GPT-5.4 Pro 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 $120 for GPT-5.4 Pro.
Choose MiMo-V2-Omni when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.4 Pro when you care most about larger context window.
- On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $120 for GPT-5.4 Pro, saving $118.6 (98.8% lower).
- MiMo-V2-Omni is $118.6 cheaper on the standard workload (98.8% lower).
- MiMo-V2-Omni is $29.6 cheaper per 1M input tokens (98.7% lower; 75x difference).
- MiMo-V2-Omni is $178 cheaper per 1M output tokens (98.9% lower; 90x difference).
- GPT-5.4 Pro has 787.86K more context (4.01x larger).
| Feature | MiMo-V2-Omni (Xiaomi) | GPT-5.4 Pro (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $30 |
| Completion Price per 1M tokens | $2 | $180 |
| Sample Workload Cost 1M input + 500K output | $1.4 | $120 |
| Context Window | 262.14K | 1.05M |
| Release Date |
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 $120 for GPT-5.4 Pro, saving $118.6 (98.8% 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 | GPT-5.4 Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- MiMo-V2-Flash can replace MiMo-V2-Omni when lower sample workload cost matters most: $0.25.
- gpt-oss-120b (free) can replace GPT-5.4 Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.4 Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.4 Pro when lower sample workload cost matters most: $0.1.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open provider hubsXiaomi catalog
Review all tracked Xiaomi models before deciding whether this matchup is the right shortlist.
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Open OpenAI modelsMiMo-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...
GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...