| Signal | GPT-4o-mini | Delta | Qwen-Plus |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 77 | +77 | |
Pricing | 1 | 0 | |
Context window size | 81 | -14 | |
Recency | 20 | -36 | |
Output Capacity | 70 | -5 | |
| Overall Result | 2 wins | of 6 | 4 wins |
8
days higher
4
days
18
days higher
OpenAI
Alibaba
GPT-4o-mini saves you $20.00/month
That's $240.00/year compared to Qwen-Plus at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini | Qwen-Plus | Winner |
|---|---|---|---|
| Overall Score | 64 | 65 | Qwen-Plus |
| Rank | #203 | #201 | Qwen-Plus |
| Quality Rank | #203 | #201 | Qwen-Plus |
| Adoption Rank | #203 | #201 | Qwen-Plus |
| Parameters | -- | -- | -- |
| Context Window | 128K | 1000K | Qwen-Plus |
| Pricing | $0.15/$0.60/M | $0.26/$0.78/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | GPT-4o-mini |
| Benchmarks | 77 | -- | GPT-4o-mini |
| Pricing | 1 | 1 | Qwen-Plus |
| Context window size | 81 | 95 | Qwen-Plus |
| Recency | 20 | 56 | Qwen-Plus |
| Output Capacity | 70 | 75 | Qwen-Plus |
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 64/100 (rank #203), placing it in the top 30% of all 290 models tracked.
Scores 65/100 (rank #201), placing it in the top 31% of all 290 models tracked.
With only a 0-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.
GPT-4o-mini offers 28% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with GPT-4o-mini vs $15.60/month with Qwen-Plus - a $4.35 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-4o-mini 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 ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (65/100) 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-4o-mini and Qwen-Plus are extremely close in overall performance (only 0.29999999999999716 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o-mini
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4o-mini
28% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini
Stronger community support and better developer experience
Best for Production
GPT-4o-mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o-mini | Qwen-Plus |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Alibaba
GPT-4o-mini saves you $0.4140/month
That's 29% cheaper than Qwen-Plus 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-4o-mini | Qwen-Plus |
|---|---|---|
| Context Window | 128K | 1M |
| Max Output Tokens | 16,384 | 32,768 |
| Open Source | No | No |
| Created | Jul 18, 2024 | Feb 1, 2025 |
Qwen-Plus scores 65/100 (rank #201) compared to GPT-4o-mini's 64/100 (rank #203), giving it a 0-point advantage. Qwen-Plus is the stronger overall choice, though GPT-4o-mini may excel in specific areas like cost efficiency.
GPT-4o-mini is ranked #203 and Qwen-Plus is ranked #201 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-4o-mini is cheaper at $0.60/M output tokens vs Qwen-Plus's $0.78/M output tokens - 1.3x more expensive. Input token pricing: GPT-4o-mini at $0.15/M vs Qwen-Plus at $0.26/M.
Qwen-Plus has a larger context window of 1,000,000 tokens compared to GPT-4o-mini's 128,000 tokens. A larger context window means the model can process longer documents and conversations.