MiMo-V2-Omni is $0.85 cheaper per 1M input tokens (68% lower; 3.12x difference).
API cost decision in 10 seconds
GPT-5 Chat vs MiMo-V2-Omni
Pick MiMo-V2-Omni when budget and context both matter.
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 $6.25 for GPT-5 Chat, saving $4.85 (77.6% lower).
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 $48.5. 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 | GPT-5 Chat | MiMo-V2-Omni |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2-Omni | $11.25 | $3 |
| Balanced workload | 1M input + 1M output | MiMo-V2-Omni | $11.25 | $2.4 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2-Omni | $51.25 | $10.4 |
MiMo-V2-Omni is $8 cheaper per 1M output tokens (80% lower; 5x difference).
MiMo-V2-Omni has 134.14K more context (2.05x larger).
MiMo-V2-Omni is $4.85 cheaper on the standard workload (77.6% 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; 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 $6.25 for GPT-5 Chat and $1.4 for MiMo-V2-Omni.
Choose GPT-5 Chat 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.
- On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $6.25 for GPT-5 Chat, saving $4.85 (77.6% lower).
- MiMo-V2-Omni is $4.85 cheaper on the standard workload (77.6% lower).
- MiMo-V2-Omni is $0.85 cheaper per 1M input tokens (68% lower; 3.12x difference).
- MiMo-V2-Omni is $8 cheaper per 1M output tokens (80% lower; 5x difference).
- MiMo-V2-Omni has 134.14K more context (2.05x larger).
| Feature | GPT-5 Chat (OpenAI) | MiMo-V2-Omni (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.25 | $0.4 |
| Completion Price per 1M tokens | $10 | $2 |
| Sample Workload Cost 1M input + 500K output | $6.25 | $1.4 |
| Context Window | 128K | 262.14K |
| Release Date | ||
| Popularity | #111 | #127 |
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 $6.25 for GPT-5 Chat, saving $4.85 (77.6% 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
- gpt-oss-120b (free) can replace GPT-5 Chat when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5 Chat when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5 Chat when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5 Chat when lower sample workload cost matters most: $0.13.
- 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.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
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Open Xiaomi modelsGPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.
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...