| Signal | GPT-5 Chat | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 70 | +4 | |
Pricing | 10 | +10 | |
Context window size | 81 | -14 | |
Recency | 91 | -9 | |
Output Capacity | 70 | -10 | |
| Overall Result | 2 wins | of 6 | 4 wins |
2
days ranked higher
0
days
28
days ranked higher
OpenAI
Alibaba
Qwen3.5-Flash saves you $605.50/month
That's $7266.00/year compared to GPT-5 Chat at your current usage level of 100K calls/month.
| Metric | GPT-5 Chat | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 75 | 79 | Qwen3.5-Flash |
| Rank | #111 | #80 | Qwen3.5-Flash |
| Quality Rank | #111 | #80 | Qwen3.5-Flash |
| Adoption Rank | #111 | #80 | Qwen3.5-Flash |
| Parameters | -- | -- | -- |
| Context Window | 128K | 1000K | Qwen3.5-Flash |
| Pricing | $1.25/$10.00/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.5-Flash |
| Benchmarks | 70 | 67 | GPT-5 Chat |
| Pricing | 10 | 0 | GPT-5 Chat |
| Context window size | 81 | 95 | Qwen3.5-Flash |
| Recency | 91 | 100 | Qwen3.5-Flash |
| Output Capacity | 70 | 80 | Qwen3.5-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 75/100 (rank #111), placing it in the top 62% of all 290 models tracked.
Scores 79/100 (rank #80), placing it in the top 73% of all 290 models tracked.
With only a 4-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.
Qwen3.5-Flash offers 97% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $168.75/month with GPT-5 Chat - a $163.88 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 4.400000000000006-point lead in composite score. It wins on more signal dimensions, but GPT-5 Chat has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-5 Chat
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
97% lower pricing; better value at scale
Best for Reliability
GPT-5 Chat
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Chat
Stronger community support and better developer experience
Best for Production
GPT-5 Chat
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 Chat | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
Qwen3.5-Flash saves you $13.82/month
That's 97% cheaper than GPT-5 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 | GPT-5 Chat | Qwen3.5-Flash |
|---|---|---|
| Context Window | 128K | 1M |
| Max Output Tokens | 16,384 | 65,536 |
| Open Source | No | No |
| Created | Aug 7, 2025 | Feb 25, 2026 |
Qwen3.5-Flash scores 79/100 (rank #80) compared to GPT-5 Chat's 75/100 (rank #111), giving it a 4-point advantage. Qwen3.5-Flash is the stronger overall choice, though GPT-5 Chat may excel in specific areas like certain benchmarks.
GPT-5 Chat is ranked #111 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 GPT-5 Chat's $10.00/M output tokens - 38.5x more expensive. Input token pricing: GPT-5 Chat at $1.25/M vs Qwen3.5-Flash at $0.07/M.
Qwen3.5-Flash has a larger context window of 1,000,000 tokens compared to GPT-5 Chat's 128,000 tokens. A larger context window means the model can process longer documents and conversations.