| Signal | Llama 4 Maverick | Delta | Phi 4 |
|---|---|---|---|
Capabilities | 67 | +33 | |
Pricing | 1 | +1 | |
Context window size | 96 | +29 | |
Recency | 70 | +16 | |
Output Capacity | 70 | -- | |
Benchmarks | 0 | -32 | |
| Overall Result | 4 wins | of 6 | 1 wins |
30
days ranked higher
0
days
0
days ranked higher
Meta
Microsoft
Phi 4 saves you $32.00/month
That's $384.00/year compared to Llama 4 Maverick at your current usage level of 100K calls/month.
| Metric | Llama 4 Maverick | Phi 4 | Winner |
|---|---|---|---|
| Overall Score | 74 | 46 | Llama 4 Maverick |
| Rank | #94 | #261 | Llama 4 Maverick |
| Quality Rank | #94 | #261 | Llama 4 Maverick |
| Adoption Rank | #94 | #261 | Llama 4 Maverick |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 16K | Llama 4 Maverick |
| Pricing | $0.15/$0.60/M | $0.06/$0.14/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 33 | Llama 4 Maverick |
| Pricing | 1 | 0 | Llama 4 Maverick |
| Context window size | 96 | 67 | Llama 4 Maverick |
| Recency | 70 | 55 | Llama 4 Maverick |
| Output Capacity | 70 | 70 | Llama 4 Maverick |
| Benchmarks | -- | 32 | Phi 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 74/100 (rank #94), placing it in the top 68% of all 290 models tracked.
Scores 46/100 (rank #261), placing it in the top 10% of all 290 models tracked.
Llama 4 Maverick has a 28-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Phi 4 offers 73% better value per quality point. At 1M tokens/day, you'd spend $3.00/month with Phi 4 vs $11.25/month with Llama 4 Maverick — a $8.25 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. Phi 4 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 ($0.14/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (74/100) 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 clearly outperforms Phi 4 with a significant 27.800000000000004-point lead. For most general use cases, Llama 4 Maverick is the stronger choice. However, Phi 4 may still excel in niche scenarios.
Best for Quality
Llama 4 Maverick
Marginally better benchmark scores; both are excellent
Best for Cost
Phi 4
73% 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 | Phi 4 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Microsoft
Phi 4 saves you $0.7140/month
That's 72% cheaper than Llama 4 Maverick 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 | Phi 4 |
|---|---|---|
| Context Window | 1.0M | 16K |
| Max Output Tokens | 16,384 | 16,384 |
| Open Source | Yes | Yes |
| Created | Apr 5, 2025 | Jan 10, 2025 |
Llama 4 Maverick scores 74/100 (rank #94) compared to Phi 4's 46/100 (rank #261), giving it a 28-point advantage. Llama 4 Maverick is the stronger overall choice, though Phi 4 may excel in specific areas like cost efficiency.
Llama 4 Maverick is ranked #94 and Phi 4 is ranked #261 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.
Phi 4 is cheaper at $0.14/M output tokens vs Llama 4 Maverick's $0.60/M output tokens — 4.3x more expensive. Input token pricing: Llama 4 Maverick at $0.15/M vs Phi 4 at $0.06/M.
Llama 4 Maverick has a larger context window of 1,048,576 tokens compared to Phi 4's 16,384 tokens. A larger context window means the model can process longer documents and conversations.