Qwen3 235B A22B Thinking 2507 is $0.85 cheaper per 1M input tokens (85% lower; 6.69x difference).
API cost decision in 10 seconds
MiMo-V2-Pro vs Qwen3 235B A22B Thinking 2507
Pick Qwen3 235B A22B Thinking 2507 for lower cost; pick MiMo-V2-Pro 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 Thinking 2507 for lower cost; pick MiMo-V2-Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 235B A22B Thinking 2507 is estimated at $0.9 vs $2.5 for MiMo-V2-Pro, saving $1.6 (64.1% lower).
Cost-first pickQwen3 235B A22B Thinking 2507
Context-first pickMiMo-V2-Pro
Sample savings$1.664.1%
10x traffic gap$16.03
MiMo-V2-Pro has more context, but Qwen3 235B A22B Thinking 2507 saves $1.6 on the standard workload. At 10x that traffic, the same price gap is about $16.03. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 235B A22B Thinking 2507 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiMo-V2-Pro | Qwen3 235B A22B Thinking 2507 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 235B A22B Thinking 2507 | $6.5 | $1.5 |
| Balanced workload | 1M input + 1M output | Qwen3 235B A22B Thinking 2507 | $4 | $1.64 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 235B A22B Thinking 2507 | $16 | $7.62 |
Qwen3 235B A22B Thinking 2507 is $1.5 cheaper per 1M output tokens (50.2% lower; 2.01x difference).
MiMo-V2-Pro has 786.43K more context (4x larger).
Qwen3 235B A22B Thinking 2507 is $1.6 cheaper on the standard workload (64.1% 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 235B A22B Thinking 2507 has the lower input price; Qwen3 235B A22B Thinking 2507 has the lower output price; MiMo-V2-Pro offers the larger context window. For the 1M input plus 500K output sample, Qwen3 235B A22B Thinking 2507 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.5 for MiMo-V2-Pro and $0.9 for Qwen3 235B A22B Thinking 2507.
Choose MiMo-V2-Pro when you care most about larger context window.
Choose Qwen3 235B A22B Thinking 2507 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3 235B A22B Thinking 2507 is estimated at $0.9 vs $2.5 for MiMo-V2-Pro, saving $1.6 (64.1% lower).
- Qwen3 235B A22B Thinking 2507 is $1.6 cheaper on the standard workload (64.1% lower).
- Qwen3 235B A22B Thinking 2507 is $0.85 cheaper per 1M input tokens (85% lower; 6.69x difference).
- Qwen3 235B A22B Thinking 2507 is $1.5 cheaper per 1M output tokens (50.2% lower; 2.01x difference).
- MiMo-V2-Pro has 786.43K more context (4x larger).
| Feature | MiMo-V2-Pro (Xiaomi) | Qwen3 235B A22B Thinking 2507 (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $1 | $0.1495 |
| Completion Price per 1M tokens | $3 | $1.495 |
| Sample Workload Cost 1M input + 500K output | $2.5 | $0.9 |
| Context Window | 1.05M | 262.14K |
| Release Date | ||
| Popularity | #74 | #133 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 235B A22B Thinking 2507 | On the standard 1M input plus 500K output workload, Qwen3 235B A22B Thinking 2507 is estimated at $0.9 vs $2.5 for MiMo-V2-Pro, saving $1.6 (64.1% lower). |
| High-volume input processing | Qwen3 235B A22B Thinking 2507 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 235B A22B Thinking 2507 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2-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-Pro when lower sample workload cost matters most: $0.25.
- MiMo-V2.5 can replace MiMo-V2-Pro when lower sample workload cost matters most: $0.28.
- MiMo-V2.5-Pro can replace MiMo-V2-Pro when lower sample workload cost matters most: $0.87.
- MiMo-V2-Omni can replace MiMo-V2-Pro when lower sample workload cost matters most: $1.4.
- 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 · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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Open Qwen modelsMiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is highly adaptable to general agent frameworks like...
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...