token.app › Compare › GPT-3.5 Turbo 16k vs Qwen3.8 Max
GPT-3.5 Turbo 16k vs Qwen3.8 Max
Qwen3.8 Max is 1.1× cheaper per token on a blended 3:1 basis. Qwen3.8 Max accepts the larger context window (1M).
Head to head
Blended price uses a 3:1 input:output mix
| GPT-3.5 Turbo 16k | Qwen3.8 Max | |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Input $/1M | $3.00 | $2.00 |
| Output $/1M | $4.00 | $6.00 |
| Blended $/1M | $3.25 | $3.00 |
| Context window | 16K | 1M |
| Max output | 4K | 131K |
| Released | Aug 2023 | Aug 2026 |
| Licence | Proprietary | Proprietary |
Choose GPT-3.5 Turbo 16k if…
- No clear advantage on the data we hold.
Choose Qwen3.8 Max if…
- Costs less per token — $3.00 vs $3.25 blended
- Larger context window (1M)
- Newer model (released Aug 2026)
FAQ
Which is better, GPT-3.5 Turbo 16k or Qwen3.8 Max?
We do not hold independently-run benchmark scores covering both GPT-3.5 Turbo 16k and Qwen3.8 Max, so we make no quality claim. Their pricing and specifications are compared on this page.
Is GPT-3.5 Turbo 16k cheaper than Qwen3.8 Max?
Qwen3.8 Max is cheaper: $3.00 versus $3.25 per million tokens blended at 3:1 input:output. Input alone: $3.00 vs $2.00. Output alone: $4.00 vs $6.00.
What context windows do GPT-3.5 Turbo 16k and Qwen3.8 Max have?
GPT-3.5 Turbo 16k: 16,385 tokens. Qwen3.8 Max: 1,000,000 tokens.
Who makes GPT-3.5 Turbo 16k and Qwen3.8 Max?
GPT-3.5 Turbo 16k is made by OpenAI. Qwen3.8 Max is made by Alibaba.
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