GPT-3.5 Turbo vs Mistral Large 4
Mistral Large 4 leads the LLM Stats Score 46.4 to -9.4. GPT-3.5 Turbo is 1.4x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 46.4 to -9.4, ranking #33 overall.
On price, GPT-3.5 Turbo is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 4 also accepts a larger context window (1,000,000 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-3.5 Turbo
- cost matters — it's about 1.4x cheaper per token
Choose Mistral Large 4
- overall performance matters — it scores 46.4 and ranks #33 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for GPT-3.5 Turbo · 15 for Mistral Large 4
GPT-3.5 Turbo and Mistral Large 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 1.4x cheaper than Mistral Large 4 ($0.68/1M tokens).
For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 1.4x cheaper than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Mistral Large 4 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
Mistral Large 4 accepts 1,000,000 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Only GPT-3.5 Turbo specifies output context (4,096 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Large 4 supports multimodal inputs, whereas GPT-3.5 Turbo does not.
Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-3.5 Turbo
Mistral Large 4
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-3.5 Turbo was released on 2023-03-21, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 43 months newer than GPT-3.5 Turbo.
Mar 21, 2023
3.6 years ago
Oct 6, 2026
1 days ago
3.5yr newerKnowledge Cutoff
When training data ends
GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Mistral Large 4'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 Mistral Large 4's cutoff date.
Sep 2021
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Provider Availability
GPT-3.5 Turbo is available from Azure, OpenAI. Mistral Large 4 is available from Mistral AI.
GPT-3.5 Turbo
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-3.5 Turbo and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-3.5 Turbo vs Mistral Large 4.