Ling 3.0 Flash vs Ling 3.1 Flash: Specs & Benchmark Comparison
Ling 3.0 Flash and Ling 3.1 Flash both come from InclusionAI, Ling 3.0 Flash was released in August 2026, and Ling 3.1 Flash followed a month later in September 2026. Ling 3.1 Flash is the larger model at roughly 560 billion parameters, against 124 billion for Ling 3.0 Flash.
The two models share 2 published benchmarks. Ling 3.1 Flash leads on 2 of them. The widest gaps are on SkillsBench, where Ling 3.1 Flash scores 68.7% against 44.8%; DRACO, where Ling 3.1 Flash scores 85.5% against 70.4%. Averaged across everything we track, Ling 3.0 Flash sits at 68.5% and Ling 3.1 Flash at 65.0%.
Ling 3.0 Flash is available through an API at $0.06 per million input tokens with a 131K-token context window. We do not track a hosted API for Ling 3.1 Flash, so pricing and context cannot be compared directly.
| Characteristic | Ling 3.0 Flash | Ling 3.1 Flash |
|---|---|---|
| Company | InclusionAI | InclusionAI |
| Release Date | August 4, 2026 | September 30, 2026 |
| Parameters | 124B | 560B |
| Multimodal | No | No |
| Context (input) | 131K | — |
| Context (output) | 131K | — |
| Input Price / 1M | $0.06 | — |
| Output Price / 1M | $0.18 | — |
| Average Score | 68.5% | 65.0% |
| Benchmarks | ||
| SkillsBench | 44.8% | 68.7% |
| DRACO | 70.4% | 85.5% |
Visual Benchmark Comparison
Verdict
Ling 3.1 Flash leads in 1 out of 2 comparison categories.
Both models show comparable average scores: Ling 3.0 Flash — 0.7, Ling 3.1 Flash — 0.6.
Ling 3.1 Flash is newer: released 9/30/2026 vs 8/4/2026.
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Frequently Asked Questions
Which is better for coding — Ling 3.0 Flash or Ling 3.1 Flash?
Which model is cheaper — Ling 3.0 Flash or Ling 3.1 Flash?
Which has a larger context window — Ling 3.0 Flash or Ling 3.1 Flash?
The Ling 3.0 Flash and Ling 3.1 Flash comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Ling 3.0 Flash or Ling 3.1 Flash page. See also the complete list of AI model comparisons.