| Signal | Qwen3.5-Flash | Delta | Qwen3.6 Plus |
|---|---|---|---|
Capabilities | 83 | -- | |
Benchmarks | 67 | +67 | |
Pricing | 100 | +2 | |
Context window size | 95 | -- | |
Recency | 100 | -- | |
Output Capacity | 80 | -- | |
| Overall Result | 2 wins | of 6 | 0 wins |
Score History
69.2
current score
Qwen3.5-Flash
right now
40
current score
Alibaba
Alibaba
Qwen3.5-Flash saves you $110.50/month
That's $1326.00/year compared to Qwen3.6 Plus at your current usage level of 100K calls/month.
| Metric | Qwen3.5-Flash | Qwen3.6 Plus | Winner |
|---|---|---|---|
| Overall Score | 69 | 40 | Qwen3.5-Flash |
| Rank | #85 | #170 | Qwen3.5-Flash |
| Quality Rank | #85 | #170 | Qwen3.5-Flash |
| Adoption Rank | #85 | #170 | Qwen3.5-Flash |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 1000K | -- |
| Pricing | $0.07/$0.26/M | $0.33/$1.95/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Qwen3.5-Flash |
| Benchmarks | 67 | -- | Qwen3.5-Flash |
| Pricing | 100 | 98 | Qwen3.5-Flash |
| Context window size | 95 | 95 | Qwen3.5-Flash |
| Recency | 100 | 100 | Qwen3.5-Flash |
| Output Capacity | 80 | 80 | Qwen3.5-Flash |
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 69/100 (rank #85), placing it in the top 71% of all 290 models tracked.
Scores 40/100 (rank #170), placing it in the top 42% of all 290 models tracked.
Qwen3.5-Flash has a 29-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-Flash offers 86% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $34.13/month with Qwen3.6 Plus - a $29.25 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. Qwen3.5-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 ($0.26/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (69/100) 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-Flash clearly outperforms Qwen3.6 Plus with a significant 29.200000000000003-point lead. For most general use cases, Qwen3.5-Flash is the stronger choice. However, Qwen3.6 Plus may still excel in niche scenarios.
Best for Quality
Qwen3.5-Flash
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
86% lower pricing; better value at scale
Best for Reliability
Qwen3.5-Flash
Higher uptime and faster response speeds
Best for Prototyping
Qwen3.5-Flash
Stronger community support and better developer experience
Best for Production
Qwen3.5-Flash
Wider enterprise adoption and proven at scale
by Alibaba
| Capability | Qwen3.5-Flash | Qwen3.6 Plus |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Alibaba
Alibaba
Qwen3.5-Flash saves you $2.50/month
That's 85% cheaper than Qwen3.6 Plus 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-Flash | Qwen3.6 Plus |
|---|---|---|
| Context Window | 1M | 1M |
| Max Output Tokens | 65,536 | 65,536 |
| Open Source | No | No |
| Created | Feb 25, 2026 | Apr 2, 2026 |
Qwen3.5-Flash scores 69/100 (rank #85) compared to Qwen3.6 Plus's 40/100 (rank #170), giving it a 29-point advantage. Qwen3.5-Flash is the stronger overall choice, though Qwen3.6 Plus may excel in specific areas like certain benchmarks.
Qwen3.5-Flash is ranked #85 and Qwen3.6 Plus is ranked #170 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Qwen3.5-Flash is cheaper at $0.26/M output tokens vs Qwen3.6 Plus's $1.95/M output tokens - 7.5x more expensive. Input token pricing: Qwen3.5-Flash at $0.07/M vs Qwen3.6 Plus at $0.33/M.
Qwen3.5-Flash has a larger context window of 1,000,000 tokens compared to Qwen3.6 Plus's 1,000,000 tokens. A larger context window means the model can process longer documents and conversations.