| Signal | Llama 4 Maverick | Delta | Qwen3 Coder Next |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 80 | +80 | |
Pricing | 1 | 0 | |
Context window size | 96 | +10 | |
Recency | 68 | -32 | |
Output Capacity | 70 | -10 | |
| Overall Result | 3 wins | of 6 | 3 wins |
8
days higher
3
days
19
days higher
Meta
Alibaba
Llama 4 Maverick saves you $4.50/month
That's $54.00/year compared to Qwen3 Coder Next at your current usage level of 100K calls/month.
| Metric | Llama 4 Maverick | Qwen3 Coder Next | Winner |
|---|---|---|---|
| Overall Score | 76 | 77 | Qwen3 Coder Next |
| Rank | #106 | #104 | Qwen3 Coder Next |
| Quality Rank | #106 | #104 | Qwen3 Coder Next |
| Adoption Rank | #106 | #104 | Qwen3 Coder Next |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 262K | Llama 4 Maverick |
| Pricing | $0.15/$0.60/M | $0.12/$0.75/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | Llama 4 Maverick |
| Benchmarks | 80 | -- | Llama 4 Maverick |
| Pricing | 1 | 1 | Qwen3 Coder Next |
| Context window size | 96 | 86 | Llama 4 Maverick |
| Recency | 68 | 100 | Qwen3 Coder Next |
| Output Capacity | 70 | 80 | Qwen3 Coder Next |
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 #104), 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 14% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Llama 4 Maverick vs $13.05/month with Qwen3 Coder Next - a $1.80 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 Qwen3 Coder Next 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
Llama 4 Maverick
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Maverick
14% 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 | Qwen3 Coder Next |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Alibaba
Llama 4 Maverick saves you $0.1260/month
That's 11% cheaper than Qwen3 Coder Next 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 | Qwen3 Coder Next |
|---|---|---|
| Context Window | 1.0M | 262K |
| Max Output Tokens | 16,384 | 65,536 |
| Open Source | Yes | Yes |
| Created | Apr 5, 2025 | Feb 4, 2026 |
Qwen3 Coder Next scores 77/100 (rank #104) compared to Llama 4 Maverick's 76/100 (rank #106), giving it a 0-point advantage. Qwen3 Coder Next is the stronger overall choice, though Llama 4 Maverick may excel in specific areas like cost efficiency.
Llama 4 Maverick is ranked #106 and Qwen3 Coder Next is ranked #104 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 Qwen3 Coder Next's $0.75/M output tokens - 1.3x more expensive. Input token pricing: Llama 4 Maverick at $0.15/M vs Qwen3 Coder Next at $0.12/M.
Llama 4 Maverick has a larger context window of 1,048,576 tokens compared to Qwen3 Coder Next's 262,144 tokens. A larger context window means the model can process longer documents and conversations.