| Signal | Qwen Plus 0728 (thinking) | Delta | MiMo-V2-Flash |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 1 | +1 | |
Context window size | 95 | +9 | |
Recency | 96 | -4 | |
Output Capacity | 75 | -5 | |
| Overall Result | 2 wins | of 5 | 2 wins |
8
days higher
4
days
18
days higher
Alibaba
Xiaomi
MiMo-V2-Flash saves you $41.50/month
That's $498.00/year compared to Qwen Plus 0728 (thinking) at your current usage level of 100K calls/month.
| Metric | Qwen Plus 0728 (thinking) | MiMo-V2-Flash | Winner |
|---|---|---|---|
| Overall Score | 82 | 83 | MiMo-V2-Flash |
| Rank | #62 | #60 | MiMo-V2-Flash |
| Quality Rank | #62 | #60 | MiMo-V2-Flash |
| Adoption Rank | #62 | #60 | MiMo-V2-Flash |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 262K | Qwen Plus 0728 (thinking) |
| Pricing | $0.26/$0.78/M | $0.09/$0.29/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Qwen Plus 0728 (thinking) |
| Pricing | 1 | 0 | Qwen Plus 0728 (thinking) |
| Context window size | 95 | 86 | Qwen Plus 0728 (thinking) |
| Recency | 96 | 100 | MiMo-V2-Flash |
| Output Capacity | 75 | 80 | MiMo-V2-Flash |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 82/100 (rank #62), placing it in the top 79% of all 290 models tracked.
Scores 83/100 (rank #60), placing it in the top 80% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
MiMo-V2-Flash offers 63% better value per quality point. At 1M tokens/day, you'd spend $5.70/month with MiMo-V2-Flash vs $15.60/month with Qwen Plus 0728 (thinking) - a $9.90 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. MiMo-V2-Flash also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.29/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (83/100) correlates with better nuance, coherence, and style in long-form content
Qwen Plus 0728 (thinking) and MiMo-V2-Flash are extremely close in overall performance (only 0.19999999999998863 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Qwen Plus 0728 (thinking)
Marginally better benchmark scores; both are excellent
Best for Cost
MiMo-V2-Flash
63% lower pricing; better value at scale
Best for Reliability
Qwen Plus 0728 (thinking)
Higher uptime and faster response speeds
Best for Prototyping
Qwen Plus 0728 (thinking)
Stronger community support and better developer experience
Best for Production
Qwen Plus 0728 (thinking)
Wider enterprise adoption and proven at scale
by Alibaba
| Capability | Qwen Plus 0728 (thinking) | MiMo-V2-Flash |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Alibaba
Xiaomi
MiMo-V2-Flash saves you $0.8940/month
That's 64% cheaper than Qwen Plus 0728 (thinking) at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Qwen Plus 0728 (thinking) | MiMo-V2-Flash |
|---|---|---|
| Context Window | 1M | 262K |
| Max Output Tokens | 32,768 | 65,536 |
| Open Source | No | Yes |
| Created | Sep 8, 2025 | Dec 14, 2025 |
MiMo-V2-Flash scores 83/100 (rank #60) compared to Qwen Plus 0728 (thinking)'s 82/100 (rank #62), giving it a 0-point advantage. MiMo-V2-Flash is the stronger overall choice, though Qwen Plus 0728 (thinking) may excel in specific areas like certain benchmarks.
Qwen Plus 0728 (thinking) is ranked #62 and MiMo-V2-Flash is ranked #60 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
MiMo-V2-Flash is cheaper at $0.29/M output tokens vs Qwen Plus 0728 (thinking)'s $0.78/M output tokens - 2.7x more expensive. Input token pricing: Qwen Plus 0728 (thinking) at $0.26/M vs MiMo-V2-Flash at $0.09/M.
Qwen Plus 0728 (thinking) has a larger context window of 1,000,000 tokens compared to MiMo-V2-Flash's 262,144 tokens. A larger context window means the model can process longer documents and conversations.