Model Comparison
Phi-3.5-mini-instruct vs Pixtral LargeWhich is better in 2026?
Comparing Phi-3.5-mini-instruct and Pixtral Large across benchmarks, pricing, and capabilities.
Verdict: Phi-3.5-mini-instruct vs Pixtral Large — which is better?
Phi-3.5-mini-instruct (by Microsoft) and Pixtral Large (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, Phi-3.5-mini-instruct is roughly 30.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose Phi-3.5-mini-instruct if…
- cost matters — it's about 30.0x cheaper per token
Choose Pixtral Large if…
- you want the most recent training data — it shipped Nov 2024
Performance Benchmarks
Comparative analysis across standard metrics
Phi-3.5-mini-instruct and Pixtral Largedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Phi-3.5-mini-instruct ($0.10/1M tokens) is 20.0x cheaper than Pixtral Large ($2.00/1M tokens).
For output processing, Phi-3.5-mini-instruct ($0.10/1M tokens) is 60.0x cheaper than Pixtral Large ($6.00/1M tokens).
In conclusion, Pixtral Large is more expensive than Phi-3.5-mini-instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Pixtral Large has 120.2B more parameters than Phi-3.5-mini-instruct, making it 3163.2% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Pixtral Large supports multimodal inputs, whereas Phi-3.5-mini-instruct does not.
Pixtral Large can handle both text and other forms of data like images, making it suitable for multimodal applications.
Phi-3.5-mini-instruct
Pixtral Large
License
Usage and distribution terms
Phi-3.5-mini-instruct is licensed under MIT, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
Phi-3.5-mini-instruct was released on 2024-08-23, while Pixtral Large was released on 2024-11-18.
Pixtral Large is 3 months newer than Phi-3.5-mini-instruct.
Aug 23, 2024
1.9 years ago
Nov 18, 2024
1.7 years ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Phi-3.5-mini-instruct is available from Azure. Pixtral Large is available from Mistral AI.
Phi-3.5-mini-instruct
Pixtral Large
Outputs Comparison
Key Takeaways
Phi-3.5-mini-instruct
View detailsMicrosoft
Pixtral Large
View detailsMistral AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Phi-3.5-mini-instruct and Pixtral Large side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Phi-3.5-mini-instruct vs Pixtral Large.