MiMo-V2-Omni is $0.05 cheaper per 1M input tokens (12.1% lower; 1.14x difference).
API cost decision in 10 seconds
MiMo-V2-Omni vs Qwen3 235B A22B
Pick Qwen3 235B A22B for lower cost; pick MiMo-V2-Omni only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3 235B A22B for lower cost; pick MiMo-V2-Omni only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 235B A22B is estimated at $1.36 vs $1.4 for MiMo-V2-Omni, saving $0.03 (2.5% lower).
Cost-first pickQwen3 235B A22B
Context-first pickMiMo-V2-Omni
Sample savings$0.032.5%
10x traffic gap$0.35
MiMo-V2-Omni has more context, but Qwen3 235B A22B saves $0.03 on the standard workload. At 10x that traffic, the same price gap is about $0.35. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors MiMo-V2-Omni, balanced workload favors Qwen3 235B A22B, and output-heavy chatbot favors Qwen3 235B A22B.
| Workload shape | Token mix | Better pick | MiMo-V2-Omni | Qwen3 235B A22B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2-Omni | $3 | $3.19 |
| Balanced workload | 1M input + 1M output | Qwen3 235B A22B | $2.4 | $2.27 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 235B A22B | $10.4 | $9.55 |
Qwen3 235B A22B is $0.18 cheaper per 1M output tokens (9% lower; 1.1x difference).
MiMo-V2-Omni has 131.07K more context (2x larger).
Qwen3 235B A22B is $0.03 cheaper on the standard workload (2.5% 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; Qwen3 235B A22B has the lower output price; MiMo-V2-Omni offers the larger context window. For the 1M input plus 500K output sample, Qwen3 235B A22B 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 $1.36 for Qwen3 235B A22B.
Choose MiMo-V2-Omni when you care most about lower input-token price, and larger context window.
Choose Qwen3 235B A22B when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3 235B A22B is estimated at $1.36 vs $1.4 for MiMo-V2-Omni, saving $0.03 (2.5% lower).
- Qwen3 235B A22B is $0.03 cheaper on the standard workload (2.5% lower).
- MiMo-V2-Omni is $0.05 cheaper per 1M input tokens (12.1% lower; 1.14x difference).
- Qwen3 235B A22B is $0.18 cheaper per 1M output tokens (9% lower; 1.1x difference).
- MiMo-V2-Omni has 131.07K more context (2x larger).
| Feature | MiMo-V2-Omni (Xiaomi) | Qwen3 235B A22B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $0.455 |
| Completion Price per 1M tokens | $2 | $1.82 |
| Sample Workload Cost 1M input + 500K output | $1.4 | $1.36 |
| Context Window | 262.14K | 131.07K |
| Release Date | ||
| Popularity | #127 | #131 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 235B A22B | On the standard 1M input plus 500K output workload, Qwen3 235B A22B is estimated at $1.36 vs $1.4 for MiMo-V2-Omni, saving $0.03 (2.5% 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 | Qwen3 235B A22B | 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
- 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.
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 235B A22B when lower sample workload cost matters most: $0.
- 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.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
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Open Qwen 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...
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...