Ant Group's AntLing-3.0-flash Hits OpenClaw via OpenRouter – 256K Context, Free Through Aug 3
OpenClaw users can now access Ant Group's AntLing-3.0-flash model via OpenRouter. No OpenClaw update is required — just set the model ID and it appears in your model list.
Setup
Run this command to configure:
openclaw models set openrouter/inclusionai/ling-3.0-flashNote: The model ID must not have a :free suffix — adding one results in a 404.
Key Details
- Context size: 256K tokens
- Training: Reinforcement learning on long-horizon tool calling
- Pricing: Free through August 3, 2025 (via OpenRouter API)
- Availability: API-only; no weights in this release
Community Observations
Early adopters on Reddit are testing loop stability over multiple turns. InclusionAI's own recommendation is that the model works best when given hard compiler errors as input. If you have access to a TypeSpec repository, reports indicate interest in seeing whether the model maintains coherence past a few turns.
📖 Read the full source: r/openclaw
👀 See Also
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Anthropic's Multi-Agent Harness Design for Improving Claude's Code Quality
Anthropic's blog post details a harness design using multiple agents to address Claude's context anxiety and self-evaluation bias, with specific agent roles and scoring criteria for frontend and full-stack development.
PhantomCrowd: Multi-Agent Audience Simulator Using Claude Code
PhantomCrowd is a marketing-focused multi-agent prediction engine that simulates how real audiences react to content before posting. It generates 10-500 personas with unique demographics and personalities, each reacting independently to content like ad copy or social posts.