| Signal | Qwen3.5-27B | Delta | MiMo-V2.5-Pro |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 77 | +1 | |
Pricing | 98 | -1 | |
Context window size | 77 | -9 | |
Recency | 100 | -- | |
Output Capacity | 80 | -5 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
76.6
current score
Qwen3.5-27B
right now
75.6
current score
Alibaba
Xiaomi
MiMo-V2.5-Pro saves you $10.50/month
That's $126.00/year compared to Qwen3.5-27B at your current usage level of 100K calls/month.
| Metric | Qwen3.5-27B | MiMo-V2.5-Pro | Winner |
|---|---|---|---|
| Overall Score | 77 | 76 | Qwen3.5-27B |
| Rank | #63 | #65 | Qwen3.5-27B |
| Quality Rank | #63 | #65 | Qwen3.5-27B |
| Adoption Rank | #63 | #65 | Qwen3.5-27B |
| Parameters | 27B | -- | -- |
| Context Window | 262K | 1049K | MiMo-V2.5-Pro |
| Pricing | $0.20/$1.56/M | $0.43/$0.87/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Qwen3.5-27B |
| Benchmarks | 77 | 76 | Qwen3.5-27B |
| Pricing | 98 | 99 | MiMo-V2.5-Pro |
| Context window size | 77 | 86 | MiMo-V2.5-Pro |
| Recency | 100 | 100 | Qwen3.5-27B |
| Output Capacity | 80 | 85 | MiMo-V2.5-Pro |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 77/100 (rank #63), placing it in the top 79% of all 290 models tracked.
Scores 76/100 (rank #65), placing it in the top 78% of all 290 models tracked.
With only a 1-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-V2.5-Pro offers 26% better value per quality point. At 1M tokens/day, you'd spend $19.58/month with MiMo-V2.5-Pro vs $26.33/month with Qwen3.5-27B - a $6.75 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. MiMo-V2.5-Pro also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.87/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (77/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Qwen3.5-27B and MiMo-V2.5-Pro are extremely close in overall performance (only 1 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Qwen3.5-27B
Marginally better benchmark scores; both are excellent
Best for Cost
MiMo-V2.5-Pro
26% lower pricing; better value at scale
Best for Reliability
Qwen3.5-27B
Higher uptime and faster response speeds
Best for Prototyping
Qwen3.5-27B
Stronger community support and better developer experience
Best for Production
Qwen3.5-27B
Wider enterprise adoption and proven at scale
by Alibaba
| Capability | Qwen3.5-27B | MiMo-V2.5-Pro |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Alibaba
Xiaomi
MiMo-V2.5-Pro saves you $0.3960/month
That's 18% cheaper than Qwen3.5-27B 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 | Qwen3.5-27B | MiMo-V2.5-Pro |
|---|---|---|
| Context Window | 262K | 1.0M |
| Max Output Tokens | 65,536 | 131,072 |
| Open Source | Yes | Yes |
| Created | Feb 25, 2026 | Apr 22, 2026 |