Ling 3.0 Flash Fin (InclusionAI) and MiniMax M1 80k (MiniMaxAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 9 September 2026
As of 9 September 2026, Ling 3.0 Flash Fin holds the stronger ModelCap Index position (#84 vs #86); and MiniMax M1 80k offers the longer context window (1M vs 262K tokens).
Evidence: finetune of inclusionai/ling-3.0-flash · finetune (100%) · global-corpus-prior over 182 held-out anchors (8%); launch card against 5 resolved peers on 9 rows (92%); exceeds every named peer on 1 of 9 rows; optimism haircut 0 from cross-lab-probe; shrunk 0.7 up toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: Ling 3.0 Flash Fin vs MiniMax M1 80k
Public benchmark boards where Ling 3.0 Flash Fin or MiniMax M1 80k has a published result
Ling 3.0 Flash Fin vs MiniMax M1 80k: common questions
Is Ling 3.0 Flash Fin better than MiniMax M1 80k?
Ling 3.0 Flash Fin ranks higher on the ModelCap Index as of 9 September 2026: #84 against #86. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is Ling 3.0 Flash Fin cheaper than MiniMax M1 80k?
At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.
Which has the bigger context window, Ling 3.0 Flash Fin or MiniMax M1 80k?
MiniMax M1 80k has the larger context window: 1M tokens against 262K.
Which is better for coding, Ling 3.0 Flash Fin or MiniMax M1 80k?
The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.
Are Ling 3.0 Flash Fin and MiniMax M1 80k open-weight models?
Ling 3.0 Flash Fin: Open weights. MiniMax M1 80k: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run Ling 3.0 Flash Fin and MiniMax M1 80k?
ModelCap currently lists 1 API provider for Ling 3.0 Flash Fin and 0 for MiniMax M1 80k, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Ling 3.0 Flash Fin vs MiniMax M1 80k comparison?
Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.