Ling 3.0 Flash VL
Ling 3.0 Flash VLAlternatives?
CheaperNemotron 3.5 LightningthinkingOpensame-46%$0.079No image input
BetterGPT-6 Lunamedium+2.5+122%$0.017Function calling only with none · Chat Completions+3
OpenQwen3.8 Flashthinking+25.3+156%$0.37Memory (4-bit): 75 GB → 108 GB+6CheaperGPT OSS 20BhighOpensame-60%$0.011Context: 262K → 131K+1
CheaperGemma 4 E4BthinkingOpensame-56%$0.008Context: 262K → 128KNemotron 3.5 LightningthinkingOpensame-46%$0.079No image inputGPT OSS 20BhighOpensame-60%$0.011Context: 262K → 131K+1Gemma 4 E4BthinkingOpensame-56%$0.008Context: 262K → 128K
Granite 4.2 3BthinkingOpensame-42%$0.006Context: 262K → 128K+1GPT OSS 120BhighOpensame-33%$0.092Context: 262K → 131K+1GPT-6 Lunamedium+2.5+122%$0.017Function calling only with none · Chat Completions+3
Claude Haiku 5.5low+12.6+122%$0.024Remove sampling parameters+5GPT-5.6 Lunahigh+2.5+400%$0.044
MiMo v2.6 FlashthinkingOpen+22.7+94%$0.062Memory (4-bit): 75 GB → 186 GB+4GPT-6.1 Sollow+30.8+4,344%$0.13Remove unsupported parameters+5Qwen3.8 FlashthinkingOpen+25.3+156%$0.37Memory (4-bit): 75 GB → 108 GB+6MiMo v2.6 FlashthinkingOpen+22.7+94%$0.062Memory (4-bit): 75 GB → 186 GB+4Qwen3.8 27BxhighOpen+5.6+963%$1.01max_tokens range · QwenCloud+4TInkling SmallthinkingOpen+1+608%$0.089Context: 262K → 256K+2IK2 Horizon 7BthinkingOpen+1+483%$0.30 / $1.20No image inputLing 3.1 FlashOpen+33.3—$1.00Memory (4-bit): 75 GB → 343 GB+1Ring 2.6 1TOpensame—$0.29Context: 262K → 128K+2Ling 3.0 Flash FinthinkingOpensame—$0.06 / $0.18Memory (4-bit): 75 GB → 76 GB+1Ling 3.0 TinyOpensame——No image inputLing 3.0 FlashthinkingOpensame—$0.06 / $0.18Memory (4-bit): 75 GB → 76 GB+1Ling 2.6 1TOpenn/a——Memory (4-bit): 75 GB → 615 GB+1Ling 2.6 FlashOpenn/a——No image inputRing 1TOpenn/a—$0.57 / $2.29Context: 262K → 64K+2All inclusionAI models →Run it yourself
estimateFAQ
How much does Ling 3.0 Flash VL cost?›
$0.06 per 1M input tokens and $0.18 per 1M output tokens (cheapest host: DeepInfra).
Is Ling 3.0 Flash VL free to use?›
There is no free API; the cheapest paid price is $0.06 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Ling 3.0 Flash VL, and what is it best at?›
#114 of 334 in Chat & Knowledge, #75 of 132 in Coding, #66 of 133 in Agents & Tool Use, #27 of 124 in Vision & Documents. Strongest at: Science, Long context, Vision.
Is Ling 3.0 Flash VL better than Ling 3.0 Flash?›
On Terminal-Bench 4.0, Ling 3.0 Flash VL scores 0 vs 0 — about the same.
How can I use Ling 3.0 Flash VL?›
Through the API of DeepInfra, Novita.
What is the context window of Ling 3.0 Flash VL?›
262K tokens, with up to 33K output tokens.
When was Ling 3.0 Flash VL released? Is there a newer version?›
Released 2026-09-10. It is the current version in its line.
Is Ling 3.0 Flash VL open source?›
Yes, the weights are open (MIT licence).
Can I run Ling 3.0 Flash VL locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Ling 3.0 Flash VL read images?›
It accepts text and images, video as input.
What is Ling 3.0 Flash VL?›
Ling 3.0 Flash VL is an open-weights language model from inclusionAI, released Sep 2026.
What are the best alternatives to Ling 3.0 Flash VL?›
Nemotron 3.5 Lightning (cheaper), GPT-6 Luna (better), Qwen3.8 Flash (open weights).