GPT-3.5 Turbo vs Qwen3.8 Max Prime
Price, context window & benchmark comparison
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Compare different models
Verdict: GPT-3.5 Turbo is 8.0× cheaper than Qwen3.8 Max Prime on a typical 3:1 input/output mix. Qwen3.8 Max Prime has the larger context window (1M vs 16K).
| GPT-3.5 Turbo | Qwen3.8 Max Prime | |
|---|---|---|
| Input price / 1M | $0.50 | $4.00 |
| Output price / 1M | $1.50 | $12.00 |
| Blended price (3:1) | $0.75 | $6.00 |
| Cached input / 1M | — | $0.50 |
| Context window | 16K | 1M |
| Max output | 4K | 131K |
| Intelligence index | — | — |
| Coding index | 10.7 | — |
| Providers | — | 1 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Released | 2023-05-28 | 2026-09-23 |
| Retirement | — | — |
Cost calculator
FAQ
Which is cheaper, GPT-3.5 Turbo or Qwen3.8 Max Prime?
GPT-3.5 Turbo is 8.0× cheaper than Qwen3.8 Max Prime on a typical 3:1 input/output mix.
GPT-3.5 Turbo vs Qwen3.8 Max Prime: which has a bigger context window?
GPT-3.5 Turbo: 16,385 tokens. Qwen3.8 Max Prime: 1,000,000 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GPT-3.5 Turbo ≈ $1,750, Qwen3.8 Max Prime ≈ $14,000.
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