| Signal | DeepSeek V3.2 | Delta | Phi 4 Mini Instruct |
|---|---|---|---|
Capabilities | 67 | +33 | |
Benchmarks | 83 | +19 | |
Pricing | 100 | -- | |
Context window size | 73 | -- | |
Recency | 96 | +8 | |
Output Capacity | 80 | -5 | |
| Overall Result | 3 wins | of 6 | 1 wins |
Score History
80.8
current score
DeepSeek V3.2
right now
52.3
current score
DeepSeek
Microsoft
Phi 4 Mini Instruct saves you $14.54/month
That's $174.48/year compared to DeepSeek V3.2 at your current usage level of 100K calls/month.
| Metric | DeepSeek V3.2 | Phi 4 Mini Instruct | Winner |
|---|---|---|---|
| Overall Score | 81 | 52 | DeepSeek V3.2 |
| Rank | #43 | #157 | DeepSeek V3.2 |
| Quality Rank | #43 | #157 | DeepSeek V3.2 |
| Adoption Rank | #43 | #157 | DeepSeek V3.2 |
| Parameters | -- | -- | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.23/$0.34/M | $0.08/$0.35/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 33 | DeepSeek V3.2 |
| Benchmarks | 83 | 65 | DeepSeek V3.2 |
| Pricing | 100 | 100 | DeepSeek V3.2 |
| Context window size | 73 | 73 | DeepSeek V3.2 |
| Recency | 96 | 87 | DeepSeek V3.2 |
| Output Capacity | 80 | 85 | Phi 4 Mini Instruct |
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 81/100 (rank #43), placing it in the top 86% of all 290 models tracked.
Scores 52/100 (rank #157), placing it in the top 46% of all 290 models tracked.
DeepSeek V3.2 has a 29-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
DeepSeek V3.2 offers 25% better value per quality point. At 1M tokens/day, you'd spend $6.45/month with Phi 4 Mini Instruct vs $8.58/month with DeepSeek V3.2 - a $2.13 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. DeepSeek V3.2 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.34/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content
DeepSeek V3.2 clearly outperforms Phi 4 Mini Instruct with a significant 28.5-point lead. For most general use cases, DeepSeek V3.2 is the stronger choice. However, Phi 4 Mini Instruct may still excel in niche scenarios.
Best for Quality
DeepSeek V3.2
Marginally better benchmark scores; both are excellent
Best for Cost
Phi 4 Mini Instruct
25% lower pricing; better value at scale
Best for Reliability
DeepSeek V3.2
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3.2
Stronger community support and better developer experience
Best for Production
DeepSeek V3.2
Wider enterprise adoption and proven at scale
by DeepSeek
| Capability | DeepSeek V3.2 | Phi 4 Mini Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
DeepSeek
Microsoft
Phi 4 Mini Instruct saves you $0.2597/month
That's 32% cheaper than DeepSeek V3.2 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 | DeepSeek V3.2 | Phi 4 Mini Instruct |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | 64,000 | 128,000 |
| Open Source | Yes | Yes |
| Created | Dec 1, 2025 | Oct 17, 2025 |