Model Comparison
GPT-3.5 Turbo vs Pixtral LargeWhich is better in 2026?
Pixtral Large significantly outperforms across most benchmarks. GPT-3.5 Turbo is 4.0x cheaper per token.
Verdict: GPT-3.5 Turbo vs Pixtral Large — which is better?
GPT-3.5 Turbo (by OpenAI) 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.
GPT-3.5 Turbo outperforms in 0 benchmarks, while Pixtral Large is better at 2 benchmarks (MathVista, MMMU). Pixtral Large significantly outperforms across most benchmarks.
On price, GPT-3.5 Turbo is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Pixtral Large also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-3.5 Turbo if…
- cost matters — it's about 4.0x cheaper per token
Choose Pixtral Large if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Nov 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-3.5 Turbo outperforms in 0 benchmarks, while Pixtral Large is better at 2 benchmarks (MathVista, MMMU).
Pixtral Large significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 4.0x cheaper than Pixtral Large ($2.00/1M tokens).
For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 4.0x cheaper than Pixtral Large ($6.00/1M tokens).
In conclusion, Pixtral Large is more expensive than GPT-3.5 Turbo.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Pixtral Large accepts 128,000 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Pixtral Large can generate longer responses up to 128,000 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
Pixtral Large supports multimodal inputs, whereas GPT-3.5 Turbo does not.
Pixtral Large can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-3.5 Turbo
Pixtral Large
License
Usage and distribution terms
GPT-3.5 Turbo is licensed under a proprietary license, 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.
Proprietary
Closed source
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
GPT-3.5 Turbo was released on 2023-03-21, while Pixtral Large was released on 2024-11-18.
Pixtral Large is 20 months newer than GPT-3.5 Turbo.
Mar 21, 2023
3.3 years ago
Nov 18, 2024
1.6 years ago
1.7yr newerKnowledge Cutoff
When training data ends
GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Pixtral Large's cutoff date is not specified.
We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Pixtral Large's cutoff date.
Sep 2021
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Provider Availability
GPT-3.5 Turbo is available from Azure, OpenAI. Pixtral Large is available from Mistral AI.
GPT-3.5 Turbo
Pixtral Large
Outputs Comparison
Key Takeaways
Pixtral Large
View detailsMistral AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-3.5 Turbo and Pixtral Large side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-3.5 Turbo vs Pixtral Large.