| Signal | GPT-4 Turbo | Delta | Phi 4 |
|---|---|---|---|
Capabilities | 67 | +33 | |
Benchmarks | 78 | +10 | |
Pricing | 30 | +30 | |
Context window size | 81 | +14 | |
Recency | 2 | -50 | |
Output Capacity | 60 | -10 | |
| Overall Result | 4 wins | of 6 | 2 wins |
13
days higher
1
days
16
days higher
OpenAI
Microsoft
Phi 4 saves you $2486.50/month
That's $29838.00/year compared to GPT-4 Turbo at your current usage level of 100K calls/month.
| Metric | GPT-4 Turbo | Phi 4 | Winner |
|---|---|---|---|
| Overall Score | 60 | 59 | GPT-4 Turbo |
| Rank | #226 | #233 | GPT-4 Turbo |
| Quality Rank | #226 | #233 | GPT-4 Turbo |
| Adoption Rank | #226 | #233 | GPT-4 Turbo |
| Parameters | -- | -- | -- |
| Context Window | 128K | 16K | GPT-4 Turbo |
| Pricing | $10.00/$30.00/M | $0.07/$0.14/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 33 | GPT-4 Turbo |
| Benchmarks | 78 | 68 | GPT-4 Turbo |
| Pricing | 30 | 0 | GPT-4 Turbo |
| Context window size | 81 | 67 | GPT-4 Turbo |
| Recency | 2 | 52 | Phi 4 |
| Output Capacity | 60 | 70 | 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 60/100 (rank #226), placing it in the top 22% of all 290 models tracked.
Scores 59/100 (rank #233), placing it in the top 20% of all 290 models tracked.
With only a 1-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.
Phi 4 offers 99% better value per quality point. At 1M tokens/day, you'd spend $3.08/month with Phi 4 vs $600.00/month with GPT-4 Turbo - a $596.92 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 (128K 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 (60/100) 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
GPT-4 Turbo and Phi 4 are extremely close in overall performance (only 0.9000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4 Turbo
Marginally better benchmark scores; both are excellent
Best for Cost
Phi 4
99% lower pricing; better value at scale
Best for Reliability
GPT-4 Turbo
Higher uptime and faster response speeds
Best for Prototyping
GPT-4 Turbo
Stronger community support and better developer experience
Best for Production
GPT-4 Turbo
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4 Turbo | Phi 4 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Microsoft
Phi 4 saves you $53.72/month
That's 99% cheaper than GPT-4 Turbo 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 | GPT-4 Turbo | Phi 4 |
|---|---|---|
| Context Window | 128K | 16K |
| Max Output Tokens | 4,096 | 16,384 |
| Open Source | No | Yes |
| Created | Apr 9, 2024 | Jan 10, 2025 |
GPT-4 Turbo scores 60/100 (rank #226) compared to Phi 4's 59/100 (rank #233), giving it a 1-point advantage. GPT-4 Turbo is the stronger overall choice, though Phi 4 may excel in specific areas like cost efficiency.
GPT-4 Turbo is ranked #226 and Phi 4 is ranked #233 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 GPT-4 Turbo's $30.00/M output tokens - 214.3x more expensive. Input token pricing: GPT-4 Turbo at $10.00/M vs Phi 4 at $0.07/M.
GPT-4 Turbo has a larger context window of 128,000 tokens compared to Phi 4's 16,384 tokens. A larger context window means the model can process longer documents and conversations.