GPT-3.5 Turbo 16k vs Ministral 3 8B 2512
Price, context window & benchmark comparison
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Verdict: Ministral 3 8B 2512 is 21.7× cheaper than GPT-3.5 Turbo 16k on a typical 3:1 input/output mix. Ministral 3 8B 2512 has the larger context window (262K vs 16K).
| GPT-3.5 Turbo 16k | Ministral 3 8B 2512 | |
|---|---|---|
| Input price / 1M | $3.00 | $0.15 |
| Output price / 1M | $4.00 | $0.15 |
| Blended price (3:1) | $3.25 | $0.15 |
| Cached input / 1M | — | $0.015 |
| Context window | 16K | 262K |
| Max output | 4K | 210K |
| Intelligence index | — | 5.5 |
| Coding index | — | 9.7 |
| Providers | — | 3 |
| Best provider uptime (30m) | — | 98.8% |
| Vision input | No | Yes |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Released | 2023-08-28 | 2025-12-02 |
| Retirement | — | — |
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FAQ
Which is cheaper, GPT-3.5 Turbo 16k or Ministral 3 8B 2512?
Ministral 3 8B 2512 is 21.7× cheaper than GPT-3.5 Turbo 16k on a typical 3:1 input/output mix.
GPT-3.5 Turbo 16k vs Ministral 3 8B 2512: which has a bigger context window?
GPT-3.5 Turbo 16k: 16,385 tokens. Ministral 3 8B 2512: 262,144 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GPT-3.5 Turbo 16k ≈ $8,000, Ministral 3 8B 2512 ≈ $375.00.
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