GPT-3.5 Turbo (older v0613) vs Qwen3.8 Max Prime
Price, context window & benchmark comparison
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Compare different models
Verdict: GPT-3.5 Turbo (older v0613) is 4.8× 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 4K).
| GPT-3.5 Turbo (older v0613) | Qwen3.8 Max Prime | |
|---|---|---|
| Input price / 1M | $1.00 | $4.00 |
| Output price / 1M | $2.00 | $12.00 |
| Blended price (3:1) | $1.25 | $6.00 |
| Cached input / 1M | — | $0.50 |
| Context window | 4K | 1M |
| Max output | 4K | 131K |
| Intelligence index | — | — |
| Coding index | — | — |
| Providers | — | 1 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Released | 2024-01-25 | 2026-09-23 |
| Retirement | — | — |
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FAQ
Which is cheaper, GPT-3.5 Turbo (older v0613) or Qwen3.8 Max Prime?
GPT-3.5 Turbo (older v0613) is 4.8× cheaper than Qwen3.8 Max Prime on a typical 3:1 input/output mix.
GPT-3.5 Turbo (older v0613) vs Qwen3.8 Max Prime: which has a bigger context window?
GPT-3.5 Turbo (older v0613): 4,095 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 (older v0613) ≈ $3,000, Qwen3.8 Max Prime ≈ $14,000.
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