LongCat 2.0 vs Ling 3.0 Flash Fin compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Ling 3.0 Flash Fin — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | LongCat 2.0 | Ling 3.0 Flash Fin | Winner |
|---|---|---|---|
| Maker | Meituan | InclusionAI | – |
| Type | Open-weight | Proprietary | MELongCat 2.0 |
| Context window | 1M tokens | 262K tokens | MELongCat 2.0 |
| Input price | $0.3/M · free self-host | $0.06/M | INLing 3.0 Flash Fin |
| Output price | $1.2/M · free self-host | $0.18/M | INLing 3.0 Flash Fin |
| Vision / multimodal | No | No | – |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | MELongCat 2.0 |
| License | Open weights | Proprietary | MELongCat 2.0 |
Ling 3.0 Flash Fin is ~6.7× cheaper than LongCat 2.0 on output tokens ($0.18 vs $1.2 per M tokens).
| Capability | LongCat 2.0 | Ling 3.0 Flash Fin |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✗ |
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
| Criterion | LongCat 2.0 | Ling 3.0 Flash Fin |
|---|---|---|
| Cost-efficiency | 4.5 | 5.0 |
| Context window | 5.0 | 4.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...
Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...
LongCat 2.0 is open-weight and competitive on many tasks, but Ling 3.0 Flash Fin may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Yes. LongCat 2.0 has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Ling 3.0 Flash Fin is API-only and cannot be self-hosted.
Choose LongCat 2.0 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Ling 3.0 Flash Fin if you want frontier capability through a managed API with zero infrastructure to run.
Browse the full open-source model leaderboard, thousands of tools and live benchmarks — all in one place.
Open the leaderboard →