| Signal | Hy3 preview | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 50 | -33 | |
Benchmarks | 69 | +3 | |
Pricing | 100 | -- | |
Context window size | 86 | -9 | |
Recency | 100 | -- | |
Output Capacity | 90 | +10 | |
| Overall Result | 2 wins | of 6 | 2 wins |
Score History
69
current score
Hy3 preview
right now
68.7
current score
Tencent
Alibaba
Qwen3.5-Flash saves you $0.10/month
That's $1.20/year compared to Hy3 preview at your current usage level of 100K calls/month.
| Metric | Hy3 preview | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 69 | 69 | Hy3 preview |
| Rank | #108 | #109 | Hy3 preview |
| Quality Rank | #108 | #109 | Hy3 preview |
| Adoption Rank | #108 | #109 | Hy3 preview |
| Parameters | -- | -- | -- |
| Context Window | 262K | 1000K | Qwen3.5-Flash |
| Pricing | $0.07/$0.26/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 83 | Qwen3.5-Flash |
| Benchmarks | 69 | 66 | Hy3 preview |
| Pricing | 100 | 100 | Hy3 preview |
| Context window size | 86 | 95 | Qwen3.5-Flash |
| Recency | 100 | 100 | Hy3 preview |
| Output Capacity | 90 | 80 | Hy3 preview |
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 #108), placing it in the top 63% of all 290 models tracked.
Scores 69/100 (rank #109), placing it in the top 63% 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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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. Hy3 preview 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
Hy3 preview and Qwen3.5-Flash are extremely close in overall performance (only 0.29999999999999716 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Hy3 preview
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
0% lower pricing; better value at scale
Best for Reliability
Hy3 preview
Higher uptime and faster response speeds
Best for Prototyping
Hy3 preview
Stronger community support and better developer experience
Best for Production
Hy3 preview
Wider enterprise adoption and proven at scale
by Tencent
| Capability | Hy3 preview | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Tencent
Alibaba
Qwen3.5-Flash saves you $0.001800/month
That's 0% cheaper than Hy3 preview 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 | Hy3 preview | Qwen3.5-Flash |
|---|---|---|
| Context Window | 262K | 1M |
| Max Output Tokens | 262,144 | 65,536 |
| Open Source | Yes | No |
| Created | Apr 22, 2026 | Feb 25, 2026 |