Low-cost LLM inference, without the accuracy tradeoff.
TextCLF is an inference provider: we run open and frontier models for you behind one OpenAI-compatible API. Our TextCLF Quant compression serves them without losing accuracy, so you get sub-second responses at a fraction of the price — no GPUs to manage, no lock-in.
$5 free credit · no credit card required
Llama 3.3 70B · input
USD / 1M tokens
up to 96% lower than leading closed APIs — while preserving full model accuracy.
Benchmarked in production
- $0.018
- per 1M tokens
- 81%
- cheaper
- <200ms
- time to first token
- 99.99%
- uptime
Starting price, Llama 3.1 8B
vs. leading closed APIs
p50 across all models
Rolling 90-day average
The same models, for a fraction of the price.
To run big models cheaply, providers quantize them — and most quantize so aggressively that they quietly trade away accuracy. Our TextCLF Quant doesn't: it makes models far cheaper to run while keeping their answers just as good — and we hand every bit of that saving straight back to you as a lower price per token.
4.1x
smaller footprint
99.6%
accuracy retained vs. FP16
The most accuracy per bit
At any given size — say 4 bits per weight — there’s a mathematical best for how much accuracy you can keep. Most methods leave a lot on the table; our TextCLF Quant gets remarkably close to that best, so at the same size our models stay noticeably sharper.
Same answers, proven
We test every model against the untouched original and keep it within a fraction of a percent on standard benchmarks — no silent quality drops.
The savings go straight to you
Smaller models are cheaper for us to run — and we don’t pocket the difference. Every bit of efficiency TextCLF Quant unlocks is passed directly to you as a lower price per token.
One API. Every model worth running.
Switch models with a single string. Every model on TextCLF is served from the same OpenAI-compatible endpoint at the same low, transparent per-token price.
Llama 3.3 70B Instruct
128K context
Meta
Input $0.08Output $0.306.6 tok/sLlama 3.1 8B Instruct
128K context
Meta
Input $0.018Output $0.03821.2 tok/sQwen3.8 27B
262K context
Alibaba
Input $0.38Output $2.9821.3 tok/sDeepSeek V4 FlashSoon
1M context
DeepSeek
Input $0.05Output $0.12—
Prices shown per 1M tokens (USD). 100+ additional models available.
View full model catalog →Change one line. Cut your bill.
Already using the OpenAI SDK? Point the base URL at TextCLF and keep the rest of your code exactly as it is.
- Drop-in replacement for the OpenAI SDK
- Same request and response schema
- Streaming, tools, and JSON mode supported
curl https://api.textclf.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_TEXTCLF_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/Llama-3.3-70B-Instruct",
"messages": [
{ "role": "user", "content": "Explain inference cost in one line." }
]
}'Prepaid credit. Zero surprises.
Get $5 in free credit to start — no credit card needed. When you're ready for more, top up your balance and spend it at each model's per-token rate. You can never be charged more than you've added.
Free credit
Start building the moment you sign up — no credit card required.
- $5 in credit, free
- No credit card to start
- Access to every model
- OpenAI-compatible API
Prepaid credits
Most popularAdd credit and draw it down as you call models. Each model bills at its own per-token rate — you only spend what you use.
- Per-token pricing, set per model
- Credits never expire
- Auto-reload so you never run dry
- Real-time usage & spend dashboard
Enterprise
Committed-use rates, dedicated capacity, and invoicing.
- Volume discounts on credit
- Dedicated GPU capacity
- SOC 2 Type II, SSO/SAML
- Invoicing & dedicated support
Every model has its own input and output rate. See per-token pricing for all models.