DeepSeek V4.1 Flash 1017 vs GPT-3.5 Turbo 16k
Price, context window & benchmark comparison
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Verdict: DeepSeek V4.1 Flash 1017 is 22.1× cheaper than GPT-3.5 Turbo 16k on a typical 3:1 input/output mix. DeepSeek V4.1 Flash 1017 has the larger context window (1M vs 16K).
| DeepSeek V4.1 Flash 1017 | GPT-3.5 Turbo 16k | |
|---|---|---|
| Input price / 1M | $0.098 | $3.00 |
| Output price / 1M | $0.29 | $4.00 |
| Blended price (3:1) | $0.15 | $3.25 |
| Cached input / 1M | $0.0029 | — |
| Context window | 1M | 16K |
| Max output | 393K | 4K |
| Intelligence index | 28.6 | — |
| Coding index | — | — |
| Providers | 47 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Released | 2026-10-17 | 2023-08-28 |
| Retirement | — | — |
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FAQ
Which is cheaper, DeepSeek V4.1 Flash 1017 or GPT-3.5 Turbo 16k?
DeepSeek V4.1 Flash 1017 is 22.1× cheaper than GPT-3.5 Turbo 16k on a typical 3:1 input/output mix.
DeepSeek V4.1 Flash 1017 vs GPT-3.5 Turbo 16k: which has a bigger context window?
DeepSeek V4.1 Flash 1017: 1,048,576 tokens. GPT-3.5 Turbo 16k: 16,385 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: DeepSeek V4.1 Flash 1017 ≈ $343.00, GPT-3.5 Turbo 16k ≈ $8,000.
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