GPT-3.5 Turbo vs Qwen3.8 Max
Qwen3.8 Max leads the LLM Stats Score 51.9 to -9.4. GPT-3.5 Turbo is 3.3x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Max leads the overall LLM Stats Score 51.9 to -9.4, ranking #11 overall.
In the 1 individual benchmarks reported for both models, Qwen3.8 Max wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-3.5 Turbo is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.8 Max also accepts a larger context window (256,000 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 3.3x cheaper per token
Choose Qwen3.8 Max
- overall performance matters — it scores 51.9 and ranks #11 on LLM Stats
- your work emphasizes reasoning and coding — 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 256,000 token context window
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
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 · 42 for Qwen3.8 Max
GPT-3.5 Turbo outperforms in 0 benchmarks, while Qwen3.8 Max is better at 1 benchmark (GPQA).
Qwen3.8 Max 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-3.5 Turbo ($0.50/1M tokens) is 3.3x cheaper than Qwen3.8 Max ($1.65/1M tokens).
For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 3.3x cheaper than Qwen3.8 Max ($4.95/1M tokens).
In conclusion, Qwen3.8 Max 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
Qwen3.8 Max accepts 256,000 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Qwen3.8 Max can generate longer responses up to 256,000 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.8 Max supports multimodal inputs, whereas GPT-3.5 Turbo does not.
Qwen3.8 Max can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-3.5 Turbo
Qwen3.8 Max
License
Usage and distribution terms
GPT-3.5 Turbo is licensed under a proprietary license, while Qwen3.8 Max uses Qwen3.8-Max License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen3.8-Max License
Open weights
Release Timeline
When each model was launched
GPT-3.5 Turbo was released on 2023-03-21, while Qwen3.8 Max was released on 2026-08-02.
Qwen3.8 Max is 41 months newer than GPT-3.5 Turbo.
Mar 21, 2023
3.5 years ago
Aug 2, 2026
1 months ago
3.4yr newerKnowledge Cutoff
When training data ends
GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Qwen3.8 Max'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 Qwen3.8 Max's cutoff date.
Sep 2021
—
Provider Availability
GPT-3.5 Turbo is available from Azure, OpenAI. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.
GPT-3.5 Turbo
Qwen3.8 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-3.5 Turbo and Qwen3.8 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-3.5 Turbo vs Qwen3.8 Max.