| Signal | GPT-5 | Delta | Qwen3.5 Plus 2026-02-15 |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 88 | +88 | |
Pricing | 10 | +8 | |
Context window size | 89 | -6 | |
Recency | 91 | -9 | |
Output Capacity | 85 | +5 | |
| Overall Result | 4 wins | of 6 | 2 wins |
27
days ranked higher
3
days
0
days ranked higher
OpenAI
Alibaba
Qwen3.5 Plus 2026-02-15 saves you $521.00/month
That's $6252.00/year compared to GPT-5 at your current usage level of 100K calls/month.
| Metric | GPT-5 | Qwen3.5 Plus 2026-02-15 | Winner |
|---|---|---|---|
| Overall Score | 90 | 85 | GPT-5 |
| Rank | #11 | #30 | GPT-5 |
| Quality Rank | #11 | #30 | GPT-5 |
| Adoption Rank | #11 | #30 | GPT-5 |
| Parameters | -- | -- | -- |
| Context Window | 400K | 1000K | Qwen3.5 Plus 2026-02-15 |
| Pricing | $1.25/$10.00/M | $0.26/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5 |
| Benchmarks | 88 | -- | GPT-5 |
| Pricing | 10 | 2 | GPT-5 |
| Context window size | 89 | 95 | Qwen3.5 Plus 2026-02-15 |
| Recency | 91 | 100 | Qwen3.5 Plus 2026-02-15 |
| Output Capacity | 85 | 80 | GPT-5 |
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 90/100 (rank #11), placing it in the top 97% of all 290 models tracked.
Scores 85/100 (rank #30), placing it in the top 90% of all 290 models tracked.
GPT-5 has a 5-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5 Plus 2026-02-15 offers 84% better value per quality point. At 1M tokens/day, you'd spend $27.30/month with Qwen3.5 Plus 2026-02-15 vs $168.75/month with GPT-5 - a $141.45 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 Plus 2026-02-15 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 ($1.56/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (90/100) 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
GPT-5 has a moderate advantage with a 5.200000000000003-point lead in composite score. It wins on more signal dimensions, but Qwen3.5 Plus 2026-02-15 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-5
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5 Plus 2026-02-15
84% lower pricing; better value at scale
Best for Reliability
GPT-5
Higher uptime and faster response speeds
Best for Prototyping
GPT-5
Stronger community support and better developer experience
Best for Production
GPT-5
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
Qwen3.5 Plus 2026-02-15 saves you $11.91/month
That's 84% cheaper than GPT-5 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 | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Context Window | 400K | 1M |
| Max Output Tokens | 128,000 | 65,536 |
| Open Source | No | No |
| Created | Aug 7, 2025 | Feb 16, 2026 |
GPT-5 scores 90/100 (rank #11) compared to Qwen3.5 Plus 2026-02-15's 85/100 (rank #30), giving it a 5-point advantage. GPT-5 is the stronger overall choice, though Qwen3.5 Plus 2026-02-15 may excel in specific areas like cost efficiency.
GPT-5 is ranked #11 and Qwen3.5 Plus 2026-02-15 is ranked #30 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 Plus 2026-02-15 is cheaper at $1.56/M output tokens vs GPT-5's $10.00/M output tokens - 6.4x more expensive. Input token pricing: GPT-5 at $1.25/M vs Qwen3.5 Plus 2026-02-15 at $0.26/M.
Qwen3.5 Plus 2026-02-15 has a larger context window of 1,000,000 tokens compared to GPT-5's 400,000 tokens. A larger context window means the model can process longer documents and conversations.