DeepSeek-V4-Pro-0813 vs Phi-4-multimodal-instruct
Comparing DeepSeek-V4-Pro-0813 and Phi-4-multimodal-instruct across benchmarks, pricing, and capabilities.
DeepSeek · Microsoft · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and Phi-4-multimodal-instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Phi-4-multimodal-instruct is roughly 8.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Phi-4-multimodal-instruct
- cost matters — it's about 8.7x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 and Phi-4-multimodal-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 8.7x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 8.7x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than Phi-4-multimodal-instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1594.4B more parameters than Phi-4-multimodal-instruct, making it 28471.4% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Phi-4-multimodal-instruct supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
Phi-4-multimodal-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
Phi-4-multimodal-instruct
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Phi-4-multimodal-instruct was released on 2025-02-01.
DeepSeek-V4-Pro-0813 is 19 months newer than Phi-4-multimodal-instruct.
Aug 13, 2026
1 weeks ago
1.5yr newerFeb 1, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V4-Pro-0813's cutoff date is not specified.
We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V4-Pro-0813's cutoff date.
—
Jun 2024
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Phi-4-multimodal-instruct is available from DeepInfra.
DeepSeek-V4-Pro-0813
Phi-4-multimodal-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Phi-4-multimodal-instruct.