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Chat with Phi-4 14B

Commercial use OK 380+ models No watermark No sign-up needed
Model:
+ GPT-5, Claude, Gemini
Chat model Self-hosted MIT 14B
Phi-4 14B — Phi-4 — MIT licensed. Microsoft's strongest small model, trained on curated synthetic data.
~100 белгилар/message

What is Phi-4 14B?

Phi-4 — MIT licensed. Microsoft's strongest small model, trained on curated synthetic data.

Best for: Reasoning, mathematics, code generation at modest compute cost.

Why use Phi-4 14B for chat?

Streaming responses

Replies stream token-by-token within ~1 second of pressing Send. No idle waiting.

Saved history

Signed-in users see every chat in /account/?tab=history with one-click share links.

Compare side by side

Send the same prompt to two models at /chat/compare/ and judge the outputs side by side.

Commercial use OK

Outputs are yours. Use them in apps, ads, docs, or anything else without attribution.

Sample prompts

Explain the difference between TCP and UDP in one paragraph
Write a friendly out-of-office reply that mentions a return date
Summarize the plot of The Three-Body Problem in 5 bullet points
Suggest 5 unique gift ideas for a friend who loves baking
Help me brainstorm a name for a small landscaping business in Texas

Pricing

Self-hosted on our GPUs. Generation draws from your daily free pool first; once that runs out, paid tokens start at $1 -> 750,000 tokens. Roughly ~100 tokens per message.

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Full model reference → · See all chat models → · Compare 2 chat models side-by-side →

Advanced options
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Сизнинг илтимосингиз ишланмоқда...

Phi-4 — MIT licensed. Microsoft's strongest small model, trained on curated synthetic data.

Қўллаш усули Chat with Phi-4 14B

1
Ўзингизнинг киритмани киритинг

Матн ёзинг, файл юкланг ёки нимани хоҳлаётганингизни айтинг. Ҳисоб керак эмас.

2
Юклаб олишни босинг

Бизнинг ИИ сизнинг талабингизни энг яхши очиқ манбали моделларни қўллаган ҳолда сониялар ичида ишлайди.

3
Юклаб олиш ва улаш

Натижаларни юклаб олиш, нусха кўчириш ёки ўртоқлашиш. Шахсий ва бизнес мақсадлар учун бепул.

Use this tool via API

Automate this tool from your own code. OpenAI-compatible REST endpoint, Bearer-token auth, no extra SDK required. Token costs match the web interface.

API Documentation Get API Key 
curl -X POST https://api.free.ai/v1/chat/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen7b", "messages": [{"role": "user", "content": "Hello"}]}'

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Chat with Phi-4 14B — FAQ

Phi-4 — MIT licensed. Microsoft's strongest small model, trained on curated synthetic data.

Phi-4 14B works well for Reasoning, mathematics, code generation at modest compute cost.. Try the sample prompts above to see its style.

About 100 tokens per average message. $1 buys 750,000 tokens, so even paid models cost cents per chat. Free accounts get 10,000 signup tokens plus a daily pool.

It depends on the task. /chat/compare/ lets you send the same prompt to Phi-4 14B and any other model side-by-side — comparison is the fastest way to decide.

Yes. Outputs are yours — Free.ai does not claim rights to anything you generate. The underlying model is MIT-licensed.

See /apps/phi-4/ for the full model card including context length.

Replies stream token-by-token within ~1 second. Total response time depends on length and model size — small models stream faster, frontier models trade speed for depth.

Yes. Signed-in users see every chat in /account/?tab=history. You can also share a one-link copy of any conversation via the Share button.

Free.ai does not train models on your conversations. Self-hosted models stay on our GPUs. Premium models route to the upstream provider for inference.

Yes. POST to /v1/chat/ with model="phi-4" and a messages array. Streaming SSE is supported. Full reference: /api/.

Phi-4 14B is MIT-licensed with 14B parameters. See /apps/phi-4/ for setup notes and our open-source repos at github.com/freeaigit.

Free accounts get 10,000 signup tokens plus a daily pool. When that runs out, top up starting at $1 (750K tokens) — no subscription required.

Sign up free for 10,000 tokens

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