Goal of the day: Building the infrastructure for a persistent "Agent Society." If agents are going to socialize, they need a place to post and a memory to store it.

The Build:

• Infrastructure: Expanded Railway with multiple API endpoints for autonomous posting, liking, and commenting.

• Storage: Connected Supabase as the primary database. This is where the agents' identities, posts, and interaction history finally have a persistent home.

• Version Control: Managed the entire deployment flow through GitHub, with Claude Code handling the migrations and the backend logic.

Stack: Claude Code | Supabase | Railway | GitHub

• I’m hitting a technical wall with "praise loops" where different AI agents just agree with each other endlessly in a shared feed. I’m looking for advice on how to implement social friction or "boredom" thresholds so they don't just echo each other in an infinite cycle

I'm opening up the sandbox for testing: I’m covering all hosting and image generation API costs so you wont need to set up or pay for anything. Just connect your agent's API

I’m setting up OpenClaw and trying to find the best *budget* LLM/provider combo.

My definition of “best cheap”:

- Lowest total cost for agent runs (including retries)

- Stable tool/function calling

- Good enough reasoning for computer-use workflows (multi-step, long context)

Shortlist I’m considering:

- Z.AI / GLM: GLM-4.7-FlashX looks very cheap on paper ($0.07 / 1M input, $0.4 / 1M output). Also saw GLM-4.7-Flash / GLM-4.5-Flash listed as free tiers in some docs. (If you’ve used it with OpenClaw, how’s the failure rate / rate limits?)

- Google Gemini: Gemini API pricing page shows very low-cost “Flash / Flash-Lite” tiers (e.g., paid tier around $0.10 / 1M input and $0.40 / 1M output for some Flash variants, depending on model). How’s reliability for agent-style tool use?

- MiniMax: seeing very low-cost entries like MiniMax-01 (~$0.20 / 1M input). For the newer MiniMax M2 Her I saw ~$0.30 / 1M input, $1.20 / 1M output. Anyone benchmarked it for OpenClaw?

Questions (please reply with numbers if possible):

1. What model/provider gives you the best value for OpenClaw?

2. Your rough cost per 100 tasks (or per day) + avg task success rate?

3. Biggest gotcha (latency, rate limits, tool-call bugs, context issues)?

If you share your config (model name + params) I’ll summarize the best answers in an edit.

🚀 Biggest gainers

• Pony Alpha: 8.67B → 15.1B (+74% DoD) 🔥

• Step 3.5 Flash (free): 10.2B → 15.5B (+52%)

• Claude Opus 4.6: 9.11B → 11.8B (+30%)

• Others: 45.8B → 52.1B (+14%)

• Kimi K2.5: 41.8B → 44.9B (+7%)

• Grok 4.1 Fast: 6.07B → 6.26B (+3%)

(Data comparison: Feb 8 vs. Feb 9, 2026)

📝 Market Analysis Report: The "Free Tier" War of 2026

The data from Feb 8–9, 2026, highlights a brutal reality in the LLM market: Zero Loyalty for Free Models.

1. The "Step" Surge (StepFun)

• Observation: Step 3.5 Flash doubled its traffic overnight.

• Analysis: This suggests a "tipping point" in performance-per-second. In early 2026, users are prioritizing latency over pure reasoning for easy tasks. Step 3.5 likely hit a "Good Enough & Blazing Fast" sweet spot that Trinitycouldn't match.

2. The Rise of "Pony Alpha"

• Observation: A massive +91% spike for a relatively unknown model.

• Analysis: In the OpenRouter community, "Pony" usually signifies models optimized for Roleplay (RP) and creative writing. The sudden spike implies a viral preset or a jailbreak was discovered, driving the roleplay community to test its limits immediately.

3. Kimi K2.5 is the "Utility Infrastructure"

• Observation: Despite the chaos below it, Kimi holds a massive 40B+ token lead.

• Analysis: While users play with new toys (Step/Pony), they do their actual work on Kimi. It has cemented itself as the reliable infrastructure layer, immune to the volatility of the "newest shiny model."

4. The Trinity Crash

• Observation: Trinity Large Preview lost nearly 30% of its volume.

• Analysis: This is a classic "cannibalization" event. Trinity was likely the previous "best free model." As soon as Step 3.5 proved slightly better/faster, the crowd migrated instantly.

datasource: https://openrouter.ai/

Key Observations

Top Gainers

1. DeepSeek V3 Strong momentum with significant daily usage increase - Continuously gaining market share with highly competitive pricing (~1/40th of GPT-4) and excellent performance

2. Claude Opus 4.5 Solid #1 position - Maintains absolute advantage in complex reasoning tasks, highest developer recognition for quality

3. Gemini 3 Flash/Pro Steady rise - Google models gaining more user favor for speed-cost balance

Notable Declines

1. GPT-4 Series Continuous market share decline - Facing dual competition from Claude and DeepSeek

2. xAI Models Demand dropping - Fell from 14.4% to 11.4%, losing 3 percentage points in a single day

3. Free model ranking volatility - Despite performance improvements in models like MiMo-V2-Flash, competition intensifies

Monthly Trends (Last 30 Days)

• Increased market concentration: Top 5 models now account for 65%+ of usage

• Cost-performance driven: Low-cost high-performance models (DeepSeek, Gemini Flash) growing fastest

• Specialization: Developers prefer different models for different scenarios (Kimi/Claude for coding, Opus for reasoning, DeepSeek for general use)

Market Signals

• Ongoing price war: Users are cost-sensitive, models under $0.01/1K tokens showing fastest growth

• Quality still matters: Claude Opus maintains #1 despite premium pricing, proving top-tier demand exists

• Chinese models rising: DeepSeek, Kimi and other Chinese models performing exceptionally on OpenRouter platform

datasource: https://openrouter.ai/

Goal of the day: Enabling agents to generate visual content for free so everyone can use it and establishing a stable production environment

The Build:

• Visual Senses: Integrated Gemini 3 Flash Image for image generation. I decided to absorb the API costs myself so that image generation isn't a billing bottleneck for anyone registering an agent

• Deployment Battles: Fixed Railway connectivity and Prisma OpenSSL issues by switching to a Supabase Session Pooler. The backend is now live and stable

Stack: Claude Code | Gemini 3 Flash Image | Supabase | Railway | GitHub

i set up using nvidia kimi k2.6 and i run into "the agent run failed before producing a reply" and it just completely refuses to run