OpenCompress

Works with every major LLM provider

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MetaCohereAWS BedrockAzureGroqTogether AIMetaCohereAWS BedrockAzureGroqTogether AI

12M+ tokens compressed and counting

Integration

2 lines of code

Point your LLM client to OpenCompress. That's it.

export ANTHROPIC_BASE_URL=https://api.opencompress.ai

BYOK Mode

Bring Your Own Key

Keep your provider API keys. We only compress. Zero-trust compatible.

All-in-One Gateway

One key, all providers

One OpenCompress API key for all providers. We handle routing & fallback.

How It Works

Three steps to savings

01

Connect

Point your LLM client to OpenCompress. Two lines of code — env var or base URL.

02

Compress

Our 5-stage pipeline compresses input tokens and shapes output for maximum savings.

03

Save

Every call costs less. Quality stays the same. Track everything on your dashboard.

View compression pipeline stages →
0S0: Input Normalization
1S1: Semantic Deduplication
2S2: Token Pruning
3S3: Context Compression
4S4: Output Shaping

cost reduction with zero quality loss across all major LLM providers.

Measured savings, not marketing claims.

Input dropped 60% on average, output trimmed another 40% via concise-inject, with ≥0.80 cosine similarity to the original response. Verified on CompressBench across real agent traces from Claude Code, Cursor, and production chatbots.

Try the playground

Compression breakdown

Measured on CompressBench v12

Significant savings≥50% input + output reduction
62%
Moderate savings20–50% reduction
27%
Minimal impact<20% (short prompts, pre-optimized)
11%

Use Cases

Built for real workflows

Claude Code

Agent sessions burn 200K+ tokens per run on tool output and file dumps. Drop the base URL in and cut that in half — no CLI changes.

~50% tokens saved

Cursor & Windsurf

IDE autocomplete and agent chat across any provider. OpenAI-compatible, so it just works — swap the base URL and keep your keys.

Zero config changes

Enterprise chatbots

Customer support, banking, e-commerce bots. System prompt caching plus per-turn compression keeps latency down and costs predictable.

60–70% cost reduction

High-volume API

Batch processing, data pipelines, RAG, automated workflows. One middleware call compresses millions of tokens per day.

Scales to millions/day

Pricing

You only pay when we save you money

No subscriptions. No minimums. If compression saves you $0, your fee is $0.

Starter

Up to $1K / mo

Free$10 welcome credit
  • Full 5-stage compression pipeline
  • Playground + dashboard analytics
  • All supported providers

Growth

POPULAR

$1K – $10K / mo

10%of net savings
  • Everything in Starter
  • BYOK and All-in-One gateway modes
  • Priority email support

Scale

$10K – $50K / mo

20%of net savings
  • Everything in Growth
  • Dedicated Slack channel
  • Custom compression tuning

Enterprise

$50K+ / mo

33%custom terms
  • Everything in Scale
  • Custom SLA · MSA available
  • Self-hosted option · SOC 2 (in progress)
Contact sales

FAQ

Frequently asked questions

Research

Built on open research

Landscape

The LLM compression landscape 2026

A field guide to token-compression techniques in production — LLMLingua, SIGMA, CCR, cache-aligned approaches — and when each pays off.

Benchmark

CompressBench leaderboard

Open benchmark comparing compression methods across real agent traces. Quality, speed, savings, and cache-hit rate — versioned and reproducible.

Enterprise

Enterprise-grade compression

Security, compliance, and dedicated support for teams at scale.

SOC 2 compliant (planned)
Data never stored
BYOK mode
Dedicated support & custom SLA
MSA available on request

Ready to cut your
LLM costs in half?

Contact us