Open source AI model stack for cost-effective Claude replacement
A Reddit post details a practical AI model stack that replaces Claude subscriptions with open source alternatives. The setup uses router logic where free local models handle 90% of work, with paid models only called when tasks genuinely need them.
Model breakdown and costs
- Llama 3.3 70b - content, copywriting, general reasoning. Open source, runs locally. Cost: £0
- DeepSeek R1 32b - analysis, research, complex thinking. Open source, runs locally. Cost: £0
- Qwen3-Coder - automation builds, code generation. Open source, runs locally. Cost: £0
- Gemma 3 27b - email triage, quick tasks. Open source, runs locally. Cost: £0
- Gemini Flash - fast web tasks, summaries. Google API pricing. Cost: pennies per 1,000 calls
- Minimax - heavy reasoning when needed. Cloud routed. Cheaper than GPT-4 by 80%+
Cost comparison and Claude replacement
The post claims DeepSeek V3 handles 90% of what Claude Sonnet does with nearly identical benchmarks at 11x lower cost per call. Monthly AI bill before: £60+. Monthly AI bill now: under £3.
The author states this stack is real and running now, offering to share setup details for those interested in implementing similar systems.
📖 Read the full source: r/openclaw
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