Qwen3 VL 235B A22B Thinking is $0.14 cheaper per 1M input tokens (35% lower; 1.54x difference).
API cost decision in 10 seconds
MiMo-V2-Omni vs Qwen3 VL 235B A22B Thinking
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 $1.56 for Qwen3 VL 235B A22B Thinking, saving $0.16 (10.3% lower).
Cost-first pickMiMo-V2-Omni
Context-first pickMiMo-V2-Omni
Sample savings$0.1610.3%
10x traffic gap$1.6
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 $1.6. 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 Qwen3 VL 235B A22B Thinking, balanced workload favors MiMo-V2-Omni, and output-heavy chatbot favors MiMo-V2-Omni.
| Workload shape | Token mix | Better pick | MiMo-V2-Omni | Qwen3 VL 235B A22B Thinking |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 VL 235B A22B Thinking | $3 | $2.6 |
| Balanced workload | 1M input + 1M output | MiMo-V2-Omni | $2.4 | $2.86 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2-Omni | $10.4 | $13.26 |
MiMo-V2-Omni is $0.6 cheaper per 1M output tokens (23.1% lower; 1.3x difference).
MiMo-V2-Omni has 131.07K more context (2x larger).
MiMo-V2-Omni is $0.16 cheaper on the standard workload (10.3% 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
Qwen3 VL 235B A22B Thinking 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 $1.56 for Qwen3 VL 235B A22B Thinking.
Choose MiMo-V2-Omni when you care most about lower output-token price, and larger context window.
Choose Qwen3 VL 235B A22B Thinking when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $1.56 for Qwen3 VL 235B A22B Thinking, saving $0.16 (10.3% lower).
- MiMo-V2-Omni is $0.16 cheaper on the standard workload (10.3% lower).
- Qwen3 VL 235B A22B Thinking is $0.14 cheaper per 1M input tokens (35% lower; 1.54x difference).
- MiMo-V2-Omni is $0.6 cheaper per 1M output tokens (23.1% lower; 1.3x difference).
- MiMo-V2-Omni has 131.07K more context (2x larger).
| Feature | MiMo-V2-Omni (Xiaomi) | Qwen3 VL 235B A22B Thinking (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $0.26 |
| Completion Price per 1M tokens | $2 | $2.6 |
| Sample Workload Cost 1M input + 500K output | $1.4 | $1.56 |
| Context Window | 262.14K | 131.07K |
| Release Date | ||
| Popularity | #92 | #103 |
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 $1.56 for Qwen3 VL 235B A22B Thinking, saving $0.16 (10.3% lower). |
| High-volume input processing | Qwen3 VL 235B A22B Thinking | 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
- 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 VL 235B A22B Thinking 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.
- MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- Hy3 preview · Tencent · #1
- MiMo-V2.5 · Xiaomi · #2
- DeepSeek V4 Flash · DeepSeek · #3
- Owl Alpha · OpenRouter · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsXiaomi catalog
Review all tracked Xiaomi models before deciding whether this matchup is the right shortlist.
Open Xiaomi modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
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-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....