| Signal | GPT-5 Mini | Delta | Qwen3 Max Thinking |
|---|---|---|---|
Capabilities | 100 | +33 | |
Pricing | 2 | -2 | |
Context window size | 89 | +3 | |
Recency | 93 | -7 | |
Output Capacity | 85 | +10 | |
| Overall Result | 3 wins | of 5 | 2 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
Alibaba
GPT-5 Mini saves you $148.00/month
That's $1776.00/year compared to Qwen3 Max Thinking at your current usage level of 100K calls/month.
| Metric | GPT-5 Mini | Qwen3 Max Thinking | Winner |
|---|---|---|---|
| Overall Score | 94 | 79 | GPT-5 Mini |
| Rank | #18 | #82 | GPT-5 Mini |
| Quality Rank | #18 | #82 | GPT-5 Mini |
| Adoption Rank | #18 | #82 | GPT-5 Mini |
| Parameters | -- | -- | -- |
| Context Window | 400K | 262K | GPT-5 Mini |
| Pricing | $0.25/$2.00/M | $0.78/$3.90/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5 Mini |
| Pricing | 2 | 4 | Qwen3 Max Thinking |
| Context window size | 89 | 86 | GPT-5 Mini |
| Recency | 93 | 100 | Qwen3 Max Thinking |
| Output Capacity | 85 | 75 | GPT-5 Mini |
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 94/100 (rank #18), placing it in the top 94% of all 290 models tracked.
Scores 79/100 (rank #82), placing it in the top 72% of all 290 models tracked.
GPT-5 Mini has a 16-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
GPT-5 Mini offers 52% better value per quality point. At 1M tokens/day, you'd spend $33.75/month with GPT-5 Mini vs $70.20/month with Qwen3 Max Thinking — a $36.45 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. GPT-5 Mini also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (94/100) 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 Mini clearly outperforms Qwen3 Max Thinking with a significant 15.599999999999994-point lead. For most general use cases, GPT-5 Mini is the stronger choice. However, Qwen3 Max Thinking may still excel in niche scenarios.
Best for Quality
GPT-5 Mini
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5 Mini
52% lower pricing; better value at scale
Best for Reliability
GPT-5 Mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Mini
Stronger community support and better developer experience
Best for Production
GPT-5 Mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 Mini | Qwen3 Max Thinking |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
GPT-5 Mini saves you $3.23/month
That's 53% cheaper than Qwen3 Max Thinking 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 Mini | Qwen3 Max Thinking |
|---|---|---|
| Context Window | 400K | 262K |
| Max Output Tokens | 128,000 | 32,768 |
| Open Source | No | Yes |
| Created | Aug 7, 2025 | Feb 9, 2026 |
GPT-5 Mini scores 94/100 (rank #18) compared to Qwen3 Max Thinking's 79/100 (rank #82), giving it a 16-point advantage. GPT-5 Mini is the stronger overall choice, though Qwen3 Max Thinking may excel in specific areas like certain benchmarks.
GPT-5 Mini is ranked #18 and Qwen3 Max Thinking is ranked #82 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.
GPT-5 Mini is cheaper at $2.00/M output tokens vs Qwen3 Max Thinking's $3.90/M output tokens — 1.9x more expensive. Input token pricing: GPT-5 Mini at $0.25/M vs Qwen3 Max Thinking at $0.78/M.
GPT-5 Mini has a larger context window of 400,000 tokens compared to Qwen3 Max Thinking's 262,144 tokens. A larger context window means the model can process longer documents and conversations.