Model Comparison

GPT-3.5 Turbo vs Pixtral Large

Pixtral Large significantly outperforms across most benchmarks. GPT-3.5 Turbo is 4.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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.

Sat Mar 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-3.5 Turbo costs less

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

Lowest available price from all providers
Sat Mar 28 2026 • llm-stats.com
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Mistral AI
Pixtral Large
Input tokens$2.00
Output tokens$6.00
Best providerMistral
Notice missing or incorrect data?Start an Issue→

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.

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Sat Mar 28 2026 • llm-stats.com

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

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

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.

GPT-3.5 Turbo

Proprietary

Closed source

Pixtral Large

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.

GPT-3.5 Turbo

Mar 21, 2023

3.0 years ago

Pixtral Large

Nov 18, 2024

1.4 years ago

1.7yr newer

Knowledge 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.

GPT-3.5 Turbo

Sep 2021

Pixtral Large

—

Provider Availability

GPT-3.5 Turbo is available from Azure, OpenAI. Pixtral Large is available from Mistral AI.

GPT-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Pixtral Large

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Less expensive input tokens
Less expensive output tokens
Mistral AI
Larger context window (128,000 tokens)
Supports multimodal inputs
Has open weights
Higher MathVista score (69.4% vs 0.0%)
Higher MMMU score (64.0% vs 0.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-3.5 Turbo
Mistral AI
Pixtral Large

FAQ

Common questions about GPT-3.5 Turbo vs Pixtral Large

Pixtral Large significantly outperforms across most benchmarks. GPT-3.5 Turbo is made by OpenAI and Pixtral Large is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.
GPT-3.5 Turbo is 4.0x cheaper for input tokens. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure. Pixtral Large costs $2.00/M input and $6.00/M output via mistral.
GPT-3.5 Turbo supports 16K tokens and Pixtral Large supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (16K vs 128K), input pricing ($0.50 vs $2.00/M), multimodal support (no vs yes), licensing (Proprietary vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.
GPT-3.5 Turbo is developed by OpenAI and Pixtral Large is developed by Mistral AI.