| Signal | Llama 4 Maverick | Delta | Qwen Plus 0728 |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 80 | +80 | |
Pricing | 1 | 0 | |
Context window size | 96 | +0 | |
Recency | 68 | -28 | |
Output Capacity | 70 | -5 | |
| Overall Result | 3 wins | of 6 | 3 wins |
8
days higher
3
days
19
days higher
Meta
Alibaba
Llama 4 Maverick saves you $20.00/month
That's $240.00/year compared to Qwen Plus 0728 at your current usage level of 100K calls/month.
| Metric | Llama 4 Maverick | Qwen Plus 0728 | Winner |
|---|---|---|---|
| Overall Score | 76 | 77 | Qwen Plus 0728 |
| Rank | #106 | #105 | Qwen Plus 0728 |
| Quality Rank | #106 | #105 | Qwen Plus 0728 |
| Adoption Rank | #106 | #105 | Qwen Plus 0728 |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 1000K | Llama 4 Maverick |
| Pricing | $0.15/$0.60/M | $0.26/$0.78/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | Llama 4 Maverick |
| Benchmarks | 80 | -- | Llama 4 Maverick |
| Pricing | 1 | 1 | Qwen Plus 0728 |
| Context window size | 96 | 95 | Llama 4 Maverick |
| Recency | 68 | 96 | Qwen Plus 0728 |
| Output Capacity | 70 | 75 | Qwen Plus 0728 |
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 76/100 (rank #106), placing it in the top 64% of all 290 models tracked.
Scores 77/100 (rank #105), placing it in the top 64% 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.
Llama 4 Maverick offers 28% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Llama 4 Maverick vs $15.60/month with Qwen Plus 0728 - 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. Llama 4 Maverick also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K 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 (77/100) 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
Llama 4 Maverick and Qwen Plus 0728 are extremely close in overall performance (only 0.19999999999998863 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Llama 4 Maverick
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Maverick
28% lower pricing; better value at scale
Best for Reliability
Llama 4 Maverick
Higher uptime and faster response speeds
Best for Prototyping
Llama 4 Maverick
Stronger community support and better developer experience
Best for Production
Llama 4 Maverick
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 4 Maverick | Qwen Plus 0728 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Alibaba
Llama 4 Maverick saves you $0.4140/month
That's 29% cheaper than Qwen Plus 0728 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 | Llama 4 Maverick | Qwen Plus 0728 |
|---|---|---|
| Context Window | 1.0M | 1M |
| Max Output Tokens | 16,384 | 32,768 |
| Open Source | Yes | No |
| Created | Apr 5, 2025 | Sep 8, 2025 |
Qwen Plus 0728 scores 77/100 (rank #105) compared to Llama 4 Maverick's 76/100 (rank #106), giving it a 0-point advantage. Qwen Plus 0728 is the stronger overall choice, though Llama 4 Maverick may excel in specific areas like cost efficiency.
Llama 4 Maverick is ranked #106 and Qwen Plus 0728 is ranked #105 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.
Llama 4 Maverick is cheaper at $0.60/M output tokens vs Qwen Plus 0728's $0.78/M output tokens - 1.3x more expensive. Input token pricing: Llama 4 Maverick at $0.15/M vs Qwen Plus 0728 at $0.26/M.
Llama 4 Maverick has a larger context window of 1,048,576 tokens compared to Qwen Plus 0728's 1,000,000 tokens. A larger context window means the model can process longer documents and conversations.