Compare / Ling 3.0 Tiny vs Edge0 8B-A1B (preview)
Ling 3.0 Tiny vs Edge0 8B-A1B (preview)
Updated November 2026
Verdict
Ling 3.0 Tiny scores higher on the Small LM Index: 51.9 vs 47.2, although their likely ranges overlap, so the lead is not certain. On the 4 benchmarks both labs report, Ling 3.0 Tiny wins 3 and Edge0 8B-A1B (preview) wins 1. Both need about 5.7 GB of memory at 4-bit quantization. Neither model has a hosted API on OpenRouter, so you would run both yourself.
Pick Ling 3.0 Tiny if…
- you want the strongest model overall
- you need math and reasoning
- you need precise instruction following
- you work with long documents
- you want the more widely used model (more quantized builds and community support)
Pick Edge0 8B-A1B (preview) if…
No clear advantage in the data we have.
Specifications
| Ling 3.0 Tiny | Edge0 8B-A1B (preview) | |
|---|---|---|
| Small LM Index | 51.9 (likely 47–57) | 47.2 (likely 42–52) |
| Lab | InclusionAI (Ling) · China | Edge0 · Other |
| Released | 2026-08-10 | 2026-09-08 |
| Parameters | 7.9B (1.4B active, MoE) | 7.9B (1.4B active, MoE) |
| Memory at 4-bit | ~5.7 GB | ~5.7 GB |
| Context window | 131K tokens | 128K tokens |
| Input | text | text |
| Reasoning | Hybrid (thinking on/off) | Hybrid (thinking on/off) |
| License | MIT | Apache-2.0 |
| API price / 1M tokens | Self-host only | Self-host only |
| Hugging Face downloads (30 days) | 14.3K | 2.5K |
Benchmarks
Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.
| Benchmark | Ling 3.0 Tiny | Edge0 8B-A1B (preview) |
|---|---|---|
| MMLU-Pro Knowledge | 65.8* | 70.1 |
| GPQA Diamond Knowledge | 73.4 | 70.7 |
| AIME Math | 73.3* | 63.3 |
| IFBench Instruction following | 60.6* | 53.9 |
Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.
Questions
Which is better, Ling 3.0 Tiny or Edge0 8B-A1B (preview)?
Ling 3.0 Tiny scores higher on the Small LM Index: 51.9 vs 47.2, although their likely ranges overlap, so the lead is not certain. On the 4 benchmarks both labs report, Ling 3.0 Tiny wins 3 and Edge0 8B-A1B (preview) wins 1.
Which is cheaper to run?
Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 5.7 GB of memory at 4-bit quantization.
Which has the longer context window?
Ling 3.0 Tiny has the longer context window: 131K tokens against 128K.
Can I use Ling 3.0 Tiny and Edge0 8B-A1B (preview) commercially?
Ling 3.0 Tiny is released under MIT and Edge0 8B-A1B (preview) under Apache-2.0. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.
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