Compare / Ling 3.0 Tiny vs MiMo-7B-RL

Ling 3.0 Tiny vs MiMo-7B-RL

Updated November 2026

Verdict

Ling 3.0 Tiny scores higher on the Small LM Index: 51.9 vs 40.7. On the 3 benchmarks both labs report, Ling 3.0 Tiny wins 3 and MiMo-7B-RL wins 0. Both need about 6.6 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 work with long documents

Pick MiMo-7B-RL if…

No clear advantage in the data we have.

Specifications

	Ling 3.0 Tiny	MiMo-7B-RL
Small LM Index	51.9 (likely 47–57)	40.7 (likely 36–45)
Lab	InclusionAI (Ling) · China	Xiaomi (MiMo) · China
Released	2026-08-10	2025-04-30
Parameters	7.9B (1.4B active, MoE)	7.8B (dense)
Memory at 4-bit	~5.7 GB	~6.6 GB
Context window	131K tokens	32K tokens
Input	text	text
Reasoning	Hybrid (thinking on/off)	Always thinks
License	MIT	MIT
API price / 1M tokens	Self-host only	Self-host only
Hugging Face downloads (30 days)	14.3K	31.9K

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	MiMo-7B-RL
MMLU-Pro Knowledge	65.8^*	58.6
GPQA Diamond Knowledge	73.4	54.4
AIME Math	73.3^*	55.4
LiveCodeBench Coding	≈ 59	49.3
IFBench Instruction following	60.6^*	—

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 MiMo-7B-RL?

Ling 3.0 Tiny scores higher on the Small LM Index: 51.9 vs 40.7. On the 3 benchmarks both labs report, Ling 3.0 Tiny wins 3 and MiMo-7B-RL wins 0.

Which is cheaper to run?

Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 6.6 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 32K.

Can I use Ling 3.0 Tiny and MiMo-7B-RL commercially?

Both are released under the MIT license. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.