GPT-6 Astra vs Qwen2.5 7B Instruct
Price, context window & benchmark comparison
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Compare different models
Verdict: Qwen2.5 7B Instruct is 160.0× cheaper than GPT-6 Astra on a typical 3:1 input/output mix. GPT-6 Astra has the larger context window (1.1M vs 33K).
| GPT-6 Astra | Qwen2.5 7B Instruct | |
|---|---|---|
| Input price / 1M | $10.00 | $0.10 |
| Output price / 1M | $50.00 | $0.20 |
| Blended price (3:1) | $20.00 | $0.13 |
| Cached input / 1M | $1.00 | — |
| Context window | 1.1M | 33K |
| Max output | 128K | 29K |
| Intelligence index | 52.7 | — |
| Coding index | 76.9 | — |
| Providers | 6 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Released | 2026-09-04 | 2024-10-16 |
| Retirement | — | — |
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FAQ
Which is cheaper, GPT-6 Astra or Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is 160.0× cheaper than GPT-6 Astra on a typical 3:1 input/output mix.
GPT-6 Astra vs Qwen2.5 7B Instruct: which has a bigger context window?
GPT-6 Astra: 1,050,000 tokens. Qwen2.5 7B Instruct: 32,768 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GPT-6 Astra ≈ $45,000, Qwen2.5 7B Instruct ≈ $300.00.
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