Token exhaustion and degradation: why AI users are looking for alternatives to Claude
Claude, one of the most advanced language models, is seeing its heaviest users push back against token limits and the perception of a decline in quality. Although the company offers plans from €20/month up to €100/month with supposedly weekly quotas of 40 to 480 hours of real use, many report that the service runs out in barely 4 hours. In parallel, alternatives such as ChatGPT Plus, Codex, Gemini or open source models like Qwen are gaining ground.
The frustration with Claude: opaque limits and degradation
An analysis of recurring complaints reveals a pattern: Claude Pro's weekly limits (officially 40-80 hours) are used up in days, not weeks. The sense that the model has degraded —flatter responses, weaker reasoning— adds to the frustration. Some point to a deliberate strategy: hook the user with an excellent product and then cut back on antiestéticatures to force an upgrade to higher plans. Comparisons with the first free phones or the drug dealer model come up again and again.
Alternatives: from ChatGPT to local models
Against this backdrop, the ecosystem offers a variety of options. ChatGPT Plus, at €20/month, imposes no token limits, according to users, and its coding performance is now on par with Claude. Codex, also from OpenAI, is promoted with capacity multipliers. At the open source end, models like Qwen 3.5 (9B parameters) run locally on ordinary GPUs, eliminating recurring costs. Tools like opencode (€10/month) or ampcode let you use Claude only for planning and delegate the heavy lifting to cheaper models like GLM or Kimi.
Multi-provider strategies to keep costs down
The trend is to avoid depending on a single provider. Round-robin setups with Open WebUI, LiteLLM and free APIs (OpenRouter, Groq) let you jump from one model to another as credits run out. Others combine several AIs by task: Claude for planning, Kimi for execution, and a final review with Claude. The message is clear: brand loyalty has faded in a market where the value for money changes every week.
The open question is whether this discontent is a normal cycle after the initial euphoria or whether we are really witnessing the beginning of the end of the generosity of proprietary AIs. Meanwhile, the average user is no longer a captive customer.
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