| Signal | LongCat Flash Chat | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 50 | -33 | |
Benchmarks | 67 | +0 | |
Pricing | 1 | +1 | |
Context window size | 81 | -14 | |
Recency | 97 | -3 | |
Output Capacity | 85 | +5 | |
| Overall Result | 3 wins | of 6 | 3 wins |
0
days ranked higher
0
days
30
days ranked higher
Meituan
Alibaba
Qwen3.5-Flash saves you $40.50/month
That's $486.00/year compared to LongCat Flash Chat at your current usage level of 100K calls/month.
| Metric | LongCat Flash Chat | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 73 | 79 | Qwen3.5-Flash |
| Rank | #137 | #80 | Qwen3.5-Flash |
| Quality Rank | #137 | #80 | Qwen3.5-Flash |
| Adoption Rank | #137 | #80 | Qwen3.5-Flash |
| Parameters | -- | -- | -- |
| Context Window | 131K | 1000K | Qwen3.5-Flash |
| Pricing | $0.20/$0.80/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 83 | Qwen3.5-Flash |
| Benchmarks | 67 | 67 | LongCat Flash Chat |
| Pricing | 1 | 0 | LongCat Flash Chat |
| Context window size | 81 | 95 | Qwen3.5-Flash |
| Recency | 97 | 100 | Qwen3.5-Flash |
| Output Capacity | 85 | 80 | LongCat Flash Chat |
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 73/100 (rank #137), placing it in the top 53% of all 290 models tracked.
Scores 79/100 (rank #80), placing it in the top 73% of all 290 models tracked.
Qwen3.5-Flash has a 7-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-Flash offers 68% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $15.00/month with LongCat Flash Chat - a $10.12 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 (79/100) 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 has a moderate advantage with a 6.800000000000011-point lead in composite score. It wins on more signal dimensions, but LongCat Flash Chat has specific strengths that could make it the better choice for certain workflows.
Best for Quality
LongCat Flash Chat
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
68% lower pricing; better value at scale
Best for Reliability
LongCat Flash Chat
Higher uptime and faster response speeds
Best for Prototyping
LongCat Flash Chat
Stronger community support and better developer experience
Best for Production
LongCat Flash Chat
Wider enterprise adoption and proven at scale
by Meituan
| Capability | LongCat Flash Chat | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meituan
Alibaba
Qwen3.5-Flash saves you $0.8910/month
That's 68% cheaper than LongCat Flash Chat 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 | LongCat Flash Chat | Qwen3.5-Flash |
|---|---|---|
| Context Window | 131K | 1M |
| Max Output Tokens | 131,072 | 65,536 |
| Open Source | Yes | No |
| Created | Sep 9, 2025 | Feb 25, 2026 |
Qwen3.5-Flash scores 79/100 (rank #80) compared to LongCat Flash Chat's 73/100 (rank #137), giving it a 7-point advantage. Qwen3.5-Flash is the stronger overall choice, though LongCat Flash Chat may excel in specific areas like certain benchmarks.
LongCat Flash Chat is ranked #137 and Qwen3.5-Flash is ranked #80 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.
Qwen3.5-Flash is cheaper at $0.26/M output tokens vs LongCat Flash Chat's $0.80/M output tokens - 3.1x more expensive. Input token pricing: LongCat Flash Chat at $0.20/M vs Qwen3.5-Flash at $0.07/M.
Qwen3.5-Flash has a larger context window of 1,000,000 tokens compared to LongCat Flash Chat's 131,072 tokens. A larger context window means the model can process longer documents and conversations.