Phi-3.5-vision-instruct: Benchmarks, Pricing & Context Window
Phi-3.5-vision-instruct is a language model from Microsoft, released in August 2024, with multimodal input.
Phi-3.5-vision-instruct is a 4.2B-parameter open multimodal model with up to 128K context tokens. It emphasizes multi-frame image understanding and reasoning, boosting performance on single-image benchmarks while enabling multi-image
Phi-3.5-vision-instruct benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for Phi-3.5-vision-instruct across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How Phi-3.5-vision-instruct holds up as conversations get longer.
Quality Tracker
Phi-3.5-vision-instruct Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Thu Sep 10 2026Phi-3.5-vision-instruct model size
Phi-3.5-vision-instruct has 4.2 billion parameters and was trained on 500 billion tokens. See how it compares to other models in the same parameter range.
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Phi-3.5-vision-instruct latency
Phi-3.5-vision-instruct time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.
Phi-3.5-vision-instruct examples
Recent arena outputs from Phi-3.5-vision-instruct, picked from the highest-ranked matchups.
Phi-3.5-vision-instruct license
Phi-3.5-vision-instruct is released under the MIT license, which permits commercial use, has 4.2B parameters.
- License
- MIT
- Commercial use allowed
- Parameters
- 4.2B
MIT License - allows commercial use
Phi-3.5-vision-instruct resources
Official sources for Phi-3.5-vision-instruct: provider documentation, paper or system card, official launch post.
Phi-3.5-vision-instruct vs other models
The most-compared alternatives to Phi-3.5-vision-instruct are Phi-4-multimodal-instruct, DeepSeek VL2, DeepSeek VL2 Small. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Phi-3.5-vision-instruct
Models ranked just above and below Phi-3.5-vision-instruct by LLM Stats score.
FAQ
Common questions about Phi-3.5-vision-instruct.