INLing 3.0 Flash Open vs 
Muse Spark 1.1 Paid
Ling 3.0 Flash vs Muse Spark 1.1 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Muse Spark 1.1 — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$0.06 /M outputNo per-token fees if you self-host
$4.25 /M outputManaged API (no infra to run)
Ling 3.0 Flash vs Muse Spark 1.1 specs
| Spec | Ling 3.0 Flash | Muse Spark 1.1 | Winner |
|---|---|---|---|
| Maker | Inclusionai | Meta | – |
| Type | Open-weight | Proprietary | INLing 3.0 Flash |
| Context window | 262K tokens | 1M tokens | |
| Input price | $0.02/M · free self-host | $1.25/M | INLing 3.0 Flash |
| Output price | $0.06/M · free self-host | $4.25/M | INLing 3.0 Flash |
| Vision / multimodal | No | Yes | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | INLing 3.0 Flash |
| License | Open weights | Proprietary | INLing 3.0 Flash |
Price gap & when to choose each
Ling 3.0 Flash is ~71× cheaper than Muse Spark 1.1 on output tokens ($0.06 vs $4.25 per M tokens).
- You want to self-host or run on your cloud
- You prioritize data privacy & control
- You want the lowest operating costs
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You need the longer 1M context window
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Ling 3.0 Flash | Muse Spark 1.1 |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✓ |
Benchmarks: Ling 3.0 Flash vs Muse Spark 1.1
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How Ling 3.0 Flash and Muse Spark 1.1 score
| Criterion | Ling 3.0 Flash | Muse Spark 1.1 |
|---|---|---|
| Cost-efficiency | 5.0 | 4.0 |
| Context window | 4.0 | 5.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
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.
What each model is
Ling 3.0 Flash Open
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enablin
Muse Spark 1.1 Paid
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
Is Ling 3.0 Flash as good as Muse Spark 1.1?
Ling 3.0 Flash is open-weight and competitive on many tasks, but Muse Spark 1.1 may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Can I run Ling 3.0 Flash locally?
Yes. Ling 3.0 Flash has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Muse Spark 1.1 is API-only and cannot be self-hosted.
How much cheaper is Ling 3.0 Flash?
Ling 3.0 Flash costs $0.06/M output vs $4.25/M for Muse Spark 1.1 — roughly 71x cheaper via API, and free if you self-host.
Ling 3.0 Flash vs Muse Spark 1.1 — which should I pick in 2026?
Choose Ling 3.0 Flash 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 Muse Spark 1.1 if you want frontier capability through a managed API with zero infrastructure to run.
People also compare
Explore more open-source AI
Browse the full open-source model leaderboard, thousands of tools and live benchmarks — all in one place.
Open the leaderboard →