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niuniu
niuniu

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I Ditched Paid AI APIs for Local Models — 3 Months of Real Numbers

Three months ago my API bill hit $41. Not huge, but I was just prototyping — paying per token to iterate on prompts felt like renting my own keyboard. So I moved the whole workflow to local models with Ollama. Cost since then: $0. Here's the honest version, including what got worse.

What I actually run

My machine: RTX 4070 (12GB VRAM), 32GB RAM. Nothing exotic.

ollama pull qwen2.5-coder:14b
ollama run qwen2.5-coder:14b
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And since Ollama exposes an OpenAI-compatible endpoint, my existing code didn't change — just the base URL:

from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:11434/v1",
    api_key="not-needed",
)

resp = client.chat.completions.create(
    model="qwen2.5-coder:14b",
    messages=[{"role": "user", "content": "Write a pytest fixture for a FastAPI app"}],
)
print(resp.choices[0].message.content)
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The numbers after 90 days

GPT API (paid) Ollama local
Monthly cost $28–41 $0
Requests/day (my usage) ~200 ~200, unlimited
Latency (first token) ~0.8s ~1.5s (14B on 12GB VRAM)
Works offline no yes
Data leaves my machine yes no
Refactor quality (my scorecard) 9/10 7/10

What got worse (the part people skip)

  • Long-context refactors are weaker. On a 40-file refactor, the local 14B model lost track of an interface change twice. The paid API didn't.
  • You become your own ops team. Model updates, VRAM juggling, the occasional OOM at 2am.
  • Cold start. First request after idle takes 20–30s to load the model into VRAM.

What got better

  • I prototype recklessly now. 500-token system prompts, ten variations, no meter running.
  • Client code stays on my machine. For one contract gig this wasn't optional.
  • The 7B models (qwen2.5-coder:7b) are genuinely fast for autocomplete-style tasks — sub-second responses.

My current split: local for iteration and anything sensitive, paid API for the final big refactors. I pair Ollama with this free open-source coding assistant for the editor side: https://ly.cyberserval.tech/iIETXiF

Anyone else running a hybrid setup? Where do you draw the local-vs-API line?

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