Qwen3.5 Plus 2026-04-20 is $0.1 cheaper per 1M input tokens (25% lower; 1.33x difference).
API cost decision in 10 seconds
Qwen3.5 Plus 2026-04-20 vs MiMo-V2.5
Pick Qwen3.5 Plus 2026-04-20 for lower cost; pick MiMo-V2.5 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 Qwen3.5 Plus 2026-04-20 for lower cost; pick MiMo-V2.5 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-04-20 is estimated at $1.2 vs $1.4 for MiMo-V2.5, saving $0.2 (14.3% lower).
Cost-first pickQwen3.5 Plus 2026-04-20
Context-first pickMiMo-V2.5
Sample savings$0.214.3%
10x traffic gap$2
MiMo-V2.5 has more context, but Qwen3.5 Plus 2026-04-20 saves $0.2 on the standard workload. At 10x that traffic, the same price gap is about $2. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.5 Plus 2026-04-20 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.5 Plus 2026-04-20 | MiMo-V2.5 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.5 Plus 2026-04-20 | $2.4 | $3 |
| Balanced workload | 1M input + 1M output | Qwen3.5 Plus 2026-04-20 | $2.1 | $2.4 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.5 Plus 2026-04-20 | $9.3 | $10.4 |
Qwen3.5 Plus 2026-04-20 is $0.2 cheaper per 1M output tokens (10% lower; 1.11x difference).
MiMo-V2.5 has 48.58K more context (1.05x larger).
Qwen3.5 Plus 2026-04-20 is $0.2 cheaper on the standard workload (14.3% 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
Qwen3.5 Plus 2026-04-20 has the lower input price; Qwen3.5 Plus 2026-04-20 has the lower output price; MiMo-V2.5 offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5 Plus 2026-04-20 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.2 for Qwen3.5 Plus 2026-04-20 and $1.4 for MiMo-V2.5.
Choose Qwen3.5 Plus 2026-04-20 when you care most about lower input-token price, and lower output-token price.
Choose MiMo-V2.5 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-04-20 is estimated at $1.2 vs $1.4 for MiMo-V2.5, saving $0.2 (14.3% lower).
- Qwen3.5 Plus 2026-04-20 is $0.2 cheaper on the standard workload (14.3% lower).
- Qwen3.5 Plus 2026-04-20 is $0.1 cheaper per 1M input tokens (25% lower; 1.33x difference).
- Qwen3.5 Plus 2026-04-20 is $0.2 cheaper per 1M output tokens (10% lower; 1.11x difference).
- MiMo-V2.5 has 48.58K more context (1.05x larger).
| Feature | Qwen3.5 Plus 2026-04-20 (Qwen) | MiMo-V2.5 (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.3 | $0.4 |
| Completion Price per 1M tokens | $1.8 | $2 |
| Sample Workload Cost 1M input + 500K output | $1.2 | $1.4 |
| Context Window | 1M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.5 Plus 2026-04-20 | On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-04-20 is estimated at $1.2 vs $1.4 for MiMo-V2.5, saving $0.2 (14.3% lower). |
| High-volume input processing | Qwen3.5 Plus 2026-04-20 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.5 Plus 2026-04-20 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.5 Plus 2026-04-20 when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.5 Plus 2026-04-20 when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.5 Plus 2026-04-20 when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.5 Plus 2026-04-20 when lower sample workload cost matters most: $0.11.
- 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 · 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.
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 hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsXiaomi catalog
Check other Xiaomi models with comparable pricing, context, or release timing.
Open Xiaomi modelsQwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...