| Signal | Llama 4 Maverick | Delta | Qwen3.5 Plus 2026-02-15 |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 80 | +80 | |
Pricing | 1 | -1 | |
Context window size | 96 | +0 | |
Recency | 69 | -31 | |
Output Capacity | 70 | -10 | |
| Overall Result | 2 wins | of 6 | 4 wins |
0
days ranked higher
0
days
30
days ranked higher
Meta
Alibaba
Llama 4 Maverick saves you $59.00/month
That's $708.00/year compared to Qwen3.5 Plus 2026-02-15 at your current usage level of 100K calls/month.
| Metric | Llama 4 Maverick | Qwen3.5 Plus 2026-02-15 | Winner |
|---|---|---|---|
| Overall Score | 77 | 85 | Qwen3.5 Plus 2026-02-15 |
| Rank | #99 | #30 | Qwen3.5 Plus 2026-02-15 |
| Quality Rank | #99 | #30 | Qwen3.5 Plus 2026-02-15 |
| Adoption Rank | #99 | #30 | Qwen3.5 Plus 2026-02-15 |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 1000K | Llama 4 Maverick |
| Pricing | $0.15/$0.60/M | $0.26/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.5 Plus 2026-02-15 |
| Benchmarks | 80 | -- | Llama 4 Maverick |
| Pricing | 1 | 2 | Qwen3.5 Plus 2026-02-15 |
| Context window size | 96 | 95 | Llama 4 Maverick |
| Recency | 69 | 100 | Qwen3.5 Plus 2026-02-15 |
| Output Capacity | 70 | 80 | Qwen3.5 Plus 2026-02-15 |
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 77/100 (rank #99), placing it in the top 66% of all 290 models tracked.
Scores 85/100 (rank #30), placing it in the top 90% of all 290 models tracked.
Qwen3.5 Plus 2026-02-15 has a 8-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Llama 4 Maverick offers 59% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Llama 4 Maverick vs $27.30/month with Qwen3.5 Plus 2026-02-15 - a $16.05 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 (85/100) 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
Qwen3.5 Plus 2026-02-15 has a moderate advantage with a 8.299999999999997-point lead in composite score. It wins on more signal dimensions, but Llama 4 Maverick has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Llama 4 Maverick
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Maverick
59% 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 | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
Alibaba
Llama 4 Maverick saves you $1.35/month
That's 58% cheaper than Qwen3.5 Plus 2026-02-15 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 | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Context Window | 1.0M | 1M |
| Max Output Tokens | 16,384 | 65,536 |
| Open Source | Yes | No |
| Created | Apr 5, 2025 | Feb 16, 2026 |
Qwen3.5 Plus 2026-02-15 scores 85/100 (rank #30) compared to Llama 4 Maverick's 77/100 (rank #99), giving it a 8-point advantage. Qwen3.5 Plus 2026-02-15 is the stronger overall choice, though Llama 4 Maverick may excel in specific areas like cost efficiency.
Llama 4 Maverick is ranked #99 and Qwen3.5 Plus 2026-02-15 is ranked #30 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 Qwen3.5 Plus 2026-02-15's $1.56/M output tokens - 2.6x more expensive. Input token pricing: Llama 4 Maverick at $0.15/M vs Qwen3.5 Plus 2026-02-15 at $0.26/M.
Llama 4 Maverick has a larger context window of 1,048,576 tokens compared to Qwen3.5 Plus 2026-02-15's 1,000,000 tokens. A larger context window means the model can process longer documents and conversations.