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  1. Models
  2. Text
  3. Inclusionai

Ling 3.0 Flash VL

Ling 3.0 Flash VL is inclusionAI's native multimodal Mixture-of-Experts model with 124B total parameters and 5.5B active parameters per token. It combines image and video understanding with reasoning and tool use for document analysis, charts, visual verification, and interface-based agent tasks. Thinking is enabled by default and can be turned off in settings.

  • Reasoning
  • Vision
  • Video Input
  • Tool Calling

Added Sep 9, 2026

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.06
Output
$0.18
Cache read
$0.012
Compare provider prices

Specifications

Context window
262.1K
Max output
32.8K
Parameters
124B / 5.5B
Total / active
Avg output (7d)
911 tokens
Longer than 65% of models

Benchmarks

No public benchmark scores for this model yet.

Providers

Provider information for this model’s automatic routing. These routes cannot be selected individually.

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto
Recommended
$0.06$0.18$0.012N/AN/A
Novita
Novita
US
$0.06$0.18$0.012N/AN/A
Privacy:ZDR, prompts not retained
Batch API
ProviderInputOutputCached input
Auto
Autoinclusionai/ling-3.0-flash-vl
$0.06/M$0.18/M$0.012/M

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

Related text models

Compare Ling 3.0 Flash VL with similar models from the same provider or model family.

Ling 3.1 Flash

inclusionai/ling-3.1-flash

Ling 3.1 Flash is inclusionAI's hybrid reasoning model for coding, tool use, planning, and long-context agent workflows. It has 560B total parameters with 25B active parameters per token. Thinking is enabled by default and can be turned off in settings.

Ling 3.0 Flash

inclusionai/ling-3.0-flash

Ling-3.0-flash is a 124B-parameter Mixture-of-Experts model with approximately 5.1B parameters active per token. It prioritizes token efficiency and production-scale agentic inference, helping coding and tool-using agents complete more work within constrained latency and serving budgets.

Ling 3.0 Flash Thinking

inclusionai/ling-3.0-flash:thinking

Ling-3.0-flash Thinking enables visible reasoning on inclusionAI's token-efficient 124B-parameter Mixture-of-Experts model for harder coding, tool use, planning, and production-scale agent workflows.

Ling 3.0 Tiny

inclusionai/ling-3.0-tiny

Ling 3.0 Tiny is a compact 7.9B-parameter Mixture-of-Experts model with 1.3B parameters active per token. It is designed for responsive agents, reliable instruction following, natural multi-turn conversations, long-context work, and function calling at low inference cost.

Ling 3.0 Tiny Thinking

inclusionai/ling-3.0-tiny:thinking

Ling 3.0 Tiny Thinking enables visible reasoning on inclusionAI's compact 7.9B-parameter Mixture-of-Experts model for harder agent tasks, coding, planning, function calling, and long-context workflows.

OrcaCyber MiniMax M3.1 Flash

orca/orcacyber-minimax-m3.1-flash

An OrcaCyber model for authorized security research, coding, and tool use. Reasoning is always enabled, with selectable effort. Supports a 262K-token context window, up to 131K output tokens, tool calling, and structured output. Accepts text input. Offensive work is permitted only within an authorized security engagement.