GPT-5.1 vs Phi-4-multimodal-instruct
GPT-5.1 leads the LLM Stats Score 36.4 to 2.8. Phi-4-multimodal-instruct is 55.0x cheaper per token.
OpenAI · Microsoft · Updated for 2026
Which is better?
GPT-5.1 leads the overall LLM Stats Score 36.4 to 2.8, ranking #77 overall.
In the 1 individual benchmarks reported for both models, GPT-5.1 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Phi-4-multimodal-instruct is roughly 55.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.1 also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-5.1
- overall performance matters — it scores 36.4 and ranks #77 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Nov 2025
Choose Phi-4-multimodal-instruct
- cost matters — it's about 55.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
9 reported for GPT-5.1 · 15 for Phi-4-multimodal-instruct
GPT-5.1 outperforms in 1 benchmarks (MMMU), while Phi-4-multimodal-instruct is better at 0 benchmarks.
GPT-5.1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.1 ($1.25/1M tokens) is 25.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, GPT-5.1 ($10.00/1M tokens) is 100.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, GPT-5.1 is more expensive than Phi-4-multimodal-instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.1 accepts 400,000 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.1 and Phi-4-multimodal-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.1
Phi-4-multimodal-instruct
License
Usage and distribution terms
GPT-5.1 is licensed under a proprietary license, while Phi-4-multimodal-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-5.1 was released on 2025-11-13, while Phi-4-multimodal-instruct was released on 2025-02-01.
GPT-5.1 is 10 months newer than Phi-4-multimodal-instruct.
Nov 13, 2025
10 months ago
9mo newerFeb 1, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
GPT-5.1 has a knowledge cutoff of 2024-09-30, while Phi-4-multimodal-instruct has a cutoff of 2024-06-01.
GPT-5.1 has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to Phi-4-multimodal-instruct (2024-06-01).
Sep 2024
3 mo newerJun 2024
Provider Availability
GPT-5.1 is available from OpenAI. Phi-4-multimodal-instruct is available from DeepInfra.
GPT-5.1
Phi-4-multimodal-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.1 and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.1 vs Phi-4-multimodal-instruct.