Ling 3.0 Flash VL
inclusionai/ling-3.0-flash-vl- Inclusionai
- Family · Ling 3 Flash VL
- Released 10 Sep 2026
- Open weights
- Text · Image · Video → Text
- Tools · JSON · Vision
Not on OSMEXO yet
Spec & list price
Context128K
Max output32K
Input / 1M$0.06
Output / 1M$0.183× input
Scores · standing
Intelligence24.6#102/490
Coding57.0#50/196
Usage
Tokens / day240.3M▼ 20% 7d
Usage rank#256
Requests / day82.0K
Tool calls / req0.16
Per request · 30 days
Avg input7.8K0.5× median
Avg output4090.6× median
Cache hit71%about median
Reasoning share64%1.1× median
Tool-call failures1.8%about median
Consumption
Peak 11.8B 6 OctLow 21.3K 26 OctRank today #256
News & trends
News · latest from Inclusionai
- 3 Ways to Boost MoE Inference on NVIDIA DGX SparkNVIDIA · 27 Oct
Benchmarks
bar = share of the top score · Benchmark data: Artificial AnalysisSpeed · median across providers, latest day
Output speed#232/33449 tok/s1.3× slower than median
First token#820.6 s1.7× quicker than median
#2 cheapest of 31 with a similar score
Value
Intelligence Index
Blended price per 1M tokens (log)
Technical details
- Tokenizer
- Other
- License
- MIT
- Parameters
- 125B
- Moderation
- none
- Downloads · likes
- 10.6K · 126
Request parameters 17
- tools
- tool_choice
- response_format
- structured_outputs
- reasoning
- include_reasoning
- temperature
- top_p
- top_k
- min_p
+7 more
- max_tokens
- stop
- seed
- frequency_penalty
- logit_bias
- presence_penalty
- repetition_penalty
Interesting facts
- Less output room than similar models (32.8K against a 131.1K median).
- Released 53 days ago.
When to use
Best for
- Image and video understanding in chat apps
- Self-hosted multimodal deployments (open weights)
- Science question answering with visual context
- Tool calling with structured output
Think twice for
- Very large outputs (short output cap)
- Hardest coding agent work
- Audio input
Alternatives
other vendors · similar capability- 25.3
- 26.5
- U24.1
- U26.6
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