| Signal | o1-pro | Delta | Qwen3.5 Plus 2026-02-15 |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 82 | +82 | |
Pricing | 100 | +98 | |
Context window size | 84 | -11 | |
Recency | 66 | -34 | |
Output Capacity | 83 | +3 | |
| Overall Result | 3 wins | of 6 | 3 wins |
0
days ranked higher
0
days
30
days ranked higher
OpenAI
Alibaba
Qwen3.5 Plus 2026-02-15 saves you $44896.00/month
That's $538752.00/year compared to o1-pro at your current usage level of 100K calls/month.
| Metric | o1-pro | Qwen3.5 Plus 2026-02-15 | Winner |
|---|---|---|---|
| Overall Score | 77 | 85 | Qwen3.5 Plus 2026-02-15 |
| Rank | #100 | #30 | Qwen3.5 Plus 2026-02-15 |
| Quality Rank | #100 | #30 | Qwen3.5 Plus 2026-02-15 |
| Adoption Rank | #100 | #30 | Qwen3.5 Plus 2026-02-15 |
| Parameters | -- | -- | -- |
| Context Window | 200K | 1000K | Qwen3.5 Plus 2026-02-15 |
| Pricing | $150.00/$600.00/M | $0.26/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.5 Plus 2026-02-15 |
| Benchmarks | 82 | -- | o1-pro |
| Pricing | 100 | 2 | o1-pro |
| Context window size | 84 | 95 | Qwen3.5 Plus 2026-02-15 |
| Recency | 66 | 100 | Qwen3.5 Plus 2026-02-15 |
| Output Capacity | 83 | 80 | o1-pro |
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 77/100 (rank #100), placing it in the top 66% of all 290 models tracked.
Scores 85/100 (rank #30), placing it in the top 90% of all 290 models tracked.
Qwen3.5 Plus 2026-02-15 has a 9-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 100% better value per quality point. At 1M tokens/day, you'd spend $27.30/month with Qwen3.5 Plus 2026-02-15 vs $11250.00/month with o1-pro - a $11222.70 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 (85/100) 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 Plus 2026-02-15 has a moderate advantage with a 8.5-point lead in composite score. It wins on more signal dimensions, but o1-pro has specific strengths that could make it the better choice for certain workflows.
Best for Quality
o1-pro
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5 Plus 2026-02-15
100% lower pricing; better value at scale
Best for Reliability
o1-pro
Higher uptime and faster response speeds
Best for Prototyping
o1-pro
Stronger community support and better developer experience
Best for Production
o1-pro
Wider enterprise adoption and proven at scale
by OpenAI
by Alibaba
| Capability | o1-pro | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Alibaba
Qwen3.5 Plus 2026-02-15 saves you $987.66/month
That's 100% cheaper than o1-pro 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 | o1-pro | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Context Window | 200K | 1M |
| Max Output Tokens | 100,000 | 65,536 |
| Open Source | No | No |
| Created | Mar 19, 2025 | Feb 16, 2026 |
Qwen3.5 Plus 2026-02-15 scores 85/100 (rank #30) compared to o1-pro's 77/100 (rank #100), giving it a 9-point advantage. Qwen3.5 Plus 2026-02-15 is the stronger overall choice, though o1-pro may excel in specific areas like certain benchmarks.
o1-pro is ranked #100 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 o1-pro's $600.00/M output tokens - 384.6x more expensive. Input token pricing: o1-pro at $150.00/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 o1-pro's 200,000 tokens. A larger context window means the model can process longer documents and conversations.