Ling 3.0 Flash VL vs Relace Apply 3 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
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Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | Ling 3.0 Flash VL | Relace Apply 3 | Winner |
|---|---|---|---|
| Maker | Inclusionai | Relace | – |
| Type | Open-weight | Proprietary | INLing 3.0 Flash VL |
| Context window | 131K tokens | 256K tokens | RERelace Apply 3 |
| Input price | $0.06/M · free self-host | $0.85/M | INLing 3.0 Flash VL |
| Output price | $0.18/M · free self-host | $1.25/M | INLing 3.0 Flash VL |
| Vision / multimodal | Yes | No | INLing 3.0 Flash VL |
| Tool / function calling | Yes | No | INLing 3.0 Flash VL |
| Self-hostable | Yes | No (API only) | INLing 3.0 Flash VL |
| License | Open weights | Proprietary | INLing 3.0 Flash VL |
Ling 3.0 Flash VL is ~6.9× cheaper than Relace Apply 3 on output tokens ($0.18 vs $1.25 per M tokens).
| Capability | Ling 3.0 Flash VL | Relace Apply 3 |
|---|---|---|
| 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 | Ling 3.0 Flash VL | Relace Apply 3 |
|---|---|---|
| Cost-efficiency | 5.0 | 4.5 |
| Context window | 3.5 | 4.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 5.0 | 2.0 |
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.
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...
Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at...
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Ling 3.0 Flash VL is open-weight and competitive on many tasks, but Relace Apply 3 may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Yes. Ling 3.0 Flash VL has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Relace Apply 3 is API-only and cannot be self-hosted.
Ling 3.0 Flash VL costs $0.18/M output vs $1.25/M for Relace Apply 3 — roughly 7x cheaper via API, and free if you self-host.
Choose Ling 3.0 Flash VL 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 Relace Apply 3 if you want frontier capability through a managed API with zero infrastructure to run.
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