Qwen3.8 Max (0902) Open vs 
GPT-3.5 Turbo Paid
Qwen3.8 Max (0902) vs GPT-3.5 Turbo compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
GPT-3.5 Turbo — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$6 /M outputNo per-token fees if you self-host
$1.5 /M outputManaged API (no infra to run)
Qwen3.8 Max (0902) vs GPT-3.5 Turbo specs
| Spec | Qwen3.8 Max (0902) | GPT-3.5 Turbo | Winner |
|---|---|---|---|
| Maker | Alibaba | OpenAI | – |
| Type | Open-weight | Proprietary | |
| Context window | 1M tokens | 16K tokens | |
| Input price | $2/M · free self-host | $0.5/M | |
| Output price | $6/M · free self-host | $1.5/M | |
| Vision / multimodal | Yes | No | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | |
| License | Apache 2.0 | Proprietary |
Price gap & when to choose each
GPT-3.5 Turbo is ~4.0× cheaper than Qwen3.8 Max (0902) on output tokens ($1.5 vs $6 per M tokens).
- You want to self-host or run on your cloud
- You need the longer 1M context window
- You prioritize data privacy & control
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Qwen3.8 Max (0902) | GPT-3.5 Turbo |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✓ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✗ |
Benchmarks: Qwen3.8 Max (0902) vs GPT-3.5 Turbo
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How Qwen3.8 Max (0902) and GPT-3.5 Turbo score
| Criterion | Qwen3.8 Max (0902) | GPT-3.5 Turbo |
|---|---|---|
| Cost-efficiency | 4.0 | 4.5 |
| Context window | 5.0 | 2.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 5.0 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
Qwen3.8 Max (0902) Open
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...
GPT-3.5 Turbo Paid
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
Is Qwen3.8 Max (0902) as good as GPT-3.5 Turbo?
Qwen3.8 Max (0902) is open-weight and competitive on many tasks, but GPT-3.5 Turbo may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Can I run Qwen3.8 Max (0902) locally?
Yes. Qwen3.8 Max (0902) has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-3.5 Turbo is API-only and cannot be self-hosted.
Qwen3.8 Max (0902) vs GPT-3.5 Turbo — which should I pick in 2026?
Choose Qwen3.8 Max (0902) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-3.5 Turbo if you want frontier capability through a managed API with zero infrastructure to run.
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