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  1. Models
  2. Text
  3. 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.

  • Reasoning
  • Tool Calling
  • Structured Output

Added Sep 30, 2026

Pricing

Auto routing · per 1M tokens
Input
$0.075
Output
$0.22
Cache read
$0.015
Compare provider prices

Specifications

Context window
262.1K
Max output
32.8K
Parameters
560B / 25B
Total / active
Avg output (7d)
2.2K tokens
Longer than 93% of models

Benchmarks

No public benchmark scores for this model yet.

Providers

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
$0.075$0.22$0.015N/AN/A
DeepInfra
DeepInfra
75% off
FP4
US
$0.315$0.0787$0.945$0.236$0.063$0.01580.6s87 tps
Privacy:ZDR, prompts not retainedBest latency and throughput are highlighted.
Batch API
ProviderInputOutputCached input
Auto
Autoinclusionai/ling-3.1-flash
$0.075/M$0.22/M$0.015/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 3.1 Flash with similar models from the same provider or model family.

Ling 3.0 Flash VL

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.

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 DeepSeek V4.1 Flash

orca/orcacyber-flash-1.0

An OrcaCyber model built on DeepSeek V4.1 Flash for authorized security research, coding, and tool use. Accepts text and images, with reasoning off by default. Supports a 1M-token context window, up to 393K output tokens, tool calling, and structured output. Offensive work is permitted only within an authorized security engagement.