Ling 3.0 Tiny vs Qwen3 30B A3B Thinking 2507
Price, context window & benchmark comparison
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Compare different models
Verdict: Ling 3.0 Tiny is 33.3× cheaper than Qwen3 30B A3B Thinking 2507 on a typical 3:1 input/output mix. Ling 3.0 Tiny has the larger context window (262K vs 82K).
| Ling 3.0 Tiny | Qwen3 30B A3B Thinking 2507 | |
|---|---|---|
| Input price / 1M | $0.015 | $0.20 |
| Output price / 1M | $0.045 | $2.40 |
| Blended price (3:1) | $0.0225 | $0.75 |
| Cached input / 1M | $0.003 | — |
| Context window | 262K | 82K |
| Max output | 250K | 33K |
| Intelligence index | — | 9.8 |
| Coding index | 26.5 | 12.1 |
| Providers | — | — |
| Best provider uptime (30m) | — | — |
| Vision input | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-08-06 | 2025-08-28 |
| Retirement | — | 2026-10-09 |
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FAQ
Which is cheaper, Ling 3.0 Tiny or Qwen3 30B A3B Thinking 2507?
Ling 3.0 Tiny is 33.3× cheaper than Qwen3 30B A3B Thinking 2507 on a typical 3:1 input/output mix.
Ling 3.0 Tiny vs Qwen3 30B A3B Thinking 2507: which has a bigger context window?
Ling 3.0 Tiny: 262,144 tokens. Qwen3 30B A3B Thinking 2507: 81,920 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Ling 3.0 Tiny ≈ $52.50, Qwen3 30B A3B Thinking 2507 ≈ $1,600.
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