| Signal | Claude Sonnet 4 | Delta | Qwen Plus 0728 (thinking) |
|---|---|---|---|
Capabilities | 83 | +17 | |
Pricing | 15 | +14 | |
Context window size | 84 | -11 | |
Recency | 79 | -20 | |
Output Capacity | 80 | +5 | |
| Overall Result | 3 wins | of 5 | 2 wins |
17
days ranked higher
4
days
9
days ranked higher
Anthropic
Alibaba
Qwen Plus 0728 (thinking) saves you $985.00/month
That's $11820.00/year compared to Claude Sonnet 4 at your current usage level of 100K calls/month.
| Metric | Claude Sonnet 4 | Qwen Plus 0728 (thinking) | Winner |
|---|---|---|---|
| Overall Score | 82 | 80 | Claude Sonnet 4 |
| Rank | #66 | #73 | Claude Sonnet 4 |
| Quality Rank | #66 | #73 | Claude Sonnet 4 |
| Adoption Rank | #66 | #73 | Claude Sonnet 4 |
| Parameters | -- | -- | -- |
| Context Window | 200K | 1000K | Qwen Plus 0728 (thinking) |
| Pricing | $3.00/$15.00/M | $0.26/$0.78/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Claude Sonnet 4 |
| Pricing | 15 | 1 | Claude Sonnet 4 |
| Context window size | 84 | 95 | Qwen Plus 0728 (thinking) |
| Recency | 79 | 99 | Qwen Plus 0728 (thinking) |
| Output Capacity | 80 | 75 | Claude Sonnet 4 |
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 82/100 (rank #66), placing it in the top 78% of all 290 models tracked.
Scores 80/100 (rank #73), placing it in the top 75% of all 290 models tracked.
With only a 2-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.
Qwen Plus 0728 (thinking) offers 94% better value per quality point. At 1M tokens/day, you'd spend $15.60/month with Qwen Plus 0728 (thinking) vs $270.00/month with Claude Sonnet 4 — a $254.40 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. Qwen Plus 0728 (thinking) 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 ($0.78/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (82/100) 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
Claude Sonnet 4 and Qwen Plus 0728 (thinking) are extremely close in overall performance (only 2.0999999999999943 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude Sonnet 4
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen Plus 0728 (thinking)
94% lower pricing; better value at scale
Best for Reliability
Claude Sonnet 4
Higher uptime and faster response speeds
Best for Prototyping
Claude Sonnet 4
Stronger community support and better developer experience
Best for Production
Claude Sonnet 4
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Sonnet 4 | Qwen Plus 0728 (thinking) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Alibaba
Qwen Plus 0728 (thinking) saves you $22.00/month
That's 94% cheaper than Claude Sonnet 4 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 | Claude Sonnet 4 | Qwen Plus 0728 (thinking) |
|---|---|---|
| Context Window | 200K | 1M |
| Max Output Tokens | 64,000 | 32,768 |
| Open Source | No | No |
| Created | May 22, 2025 | Sep 8, 2025 |
Claude Sonnet 4 scores 82/100 (rank #66) compared to Qwen Plus 0728 (thinking)'s 80/100 (rank #73), giving it a 2-point advantage. Claude Sonnet 4 is the stronger overall choice, though Qwen Plus 0728 (thinking) may excel in specific areas like cost efficiency.
Claude Sonnet 4 is ranked #66 and Qwen Plus 0728 (thinking) is ranked #73 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.
Qwen Plus 0728 (thinking) is cheaper at $0.78/M output tokens vs Claude Sonnet 4's $15.00/M output tokens — 19.2x more expensive. Input token pricing: Claude Sonnet 4 at $3.00/M vs Qwen Plus 0728 (thinking) at $0.26/M.
Qwen Plus 0728 (thinking) has a larger context window of 1,000,000 tokens compared to Claude Sonnet 4's 200,000 tokens. A larger context window means the model can process longer documents and conversations.