| Signal | Llama 4 Maverick | Delta | Phi 4 |
|---|---|---|---|
Capabilities | 50 | +17 | |
Benchmarks | 70 | +5 | |
Pricing | 99 | 0 | |
Context window size | 96 | +29 | |
Recency | 60 | +16 | |
Output Capacity | 70 | -- | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
67.1
current score
Llama 4 Maverick
right now
60.2
current score
Meta
Microsoft
Phi 4 saves you $31.50/month
That's $378.00/year compared to Llama 4 Maverick at your current usage level of 100K calls/month.
| Metric | Llama 4 Maverick | Phi 4 | Winner |
|---|---|---|---|
| Overall Score | 67 | 60 | Llama 4 Maverick |
| Rank | #114 | #149 | Llama 4 Maverick |
| Quality Rank | #114 | #149 | Llama 4 Maverick |
| Adoption Rank | #114 | #149 | Llama 4 Maverick |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 16K | Llama 4 Maverick |
| Pricing | $0.15/$0.60/M | $0.07/$0.14/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | Llama 4 Maverick |
| Benchmarks | 70 | 65 | Llama 4 Maverick |
| Pricing | 99 | 100 | Phi 4 |
| Context window size | 96 | 67 | Llama 4 Maverick |
| Recency | 60 | 45 | Llama 4 Maverick |
| Output Capacity | 70 | 70 | Llama 4 Maverick |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 67/100 (rank #114), placing it in the top 61% of all 290 models tracked.
Scores 60/100 (rank #149), placing it in the top 49% of all 290 models tracked.
Llama 4 Maverick has a 7-point advantage, which typically translates to noticeably better 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 $3.08/month with Phi 4 vs $11.25/month with Llama 4 Maverick - a $8.18 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. 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 (67/100) 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 has a moderate advantage with a 6.8999999999999915-point lead in composite score. It wins on more signal dimensions, but Phi 4 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
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 Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Microsoft
Phi 4 saves you $0.7050/month
That's 71% 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 |