Skip to content

Backed by Y Combinator

Inference at the frontier of model performance.

Run open models at the lowest cost and latency, with APIs that work with your existing stack.

Launching with

GLM‑5.3‑Flash on Isoquant.

Optimized inference at the lowest prices in the market.

$0.07

USD / 1M tokens

Input tokens

$0.20

USD / 1M tokens

Output tokens

$0.014

USD / 1M tokens

Cached input tokens

  • No top-up fees.
  • Automatic prompt caching.

Speed powered by frontier research.

452 ms

P50 TIME TO FIRST TOKEN

2.3 sec

P50 END-TO-END LATENCY

158.9 tok/s

P50 THROUGHPUT

Time to first token

Lower is better
  1. IsoquantOUR API452 ms
  2. Together890 ms
  3. CoreWeave1,240 ms
  4. Baseten1,320 ms
  5. Fireworks1,550 ms
  6. Z.ai3,690 ms

MILLISECONDS · P50

Output throughput

Higher is better
  1. IsoquantOUR API158.9 tok/s
  2. CoreWeave74 tok/s
  3. Together54 tok/s
  4. Fireworks51 tok/s
  5. Baseten41 tok/s
  6. Z.ai39 tok/s

TOKENS PER SECOND · P50

Sources: Isoquant’s AgentX benchmark and OpenRouter · September 21, 2026.

Showing GLM‑5.3‑Flash pricing and public API performance.

The engineering behind Isoquant.

GPU engineering and performance optimization across the inference stack.

01 / Model

Architecture-aware optimization

Execution tuned to the architecture of each model.

  • Model architecture
  • Mixed precision
and more
02 / Compute

GPU performance engineering

More useful work through kernel and memory engineering.

  • Kernel optimization
  • Memory optimization
and more
03 / Decoding

Accelerated decoding

A faster path from computation to generated tokens.

  • Speculative decoding
  • Decode optimization
and more
04 / Serving

Workload-aware orchestration

Serving engineered for long context and concurrent traffic.

  • KV cache
  • Load balancing
and more

Keep your code. Change the endpoint.

Add your Isoquant key and update the base URL.

curl -sS "https://api.isoquant.ai/v1/chat/completions" \
  -H "Authorization: Bearer $ISOQUANT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "glm-5.3-flash",
  "messages": [{"role":"user","content":"Hello!"}],
  "max_tokens": 64
}'

Self-optimizing inference, built for your evolving workload.

We continuously train, tune, and optimize models for higher quality, lower cost, and faster responses.

01 / CONNECT02 / EVALUATE & IMPROVE03 / DEPLOY WINNERS
isoquant
evalsconfigsoptimizationstrained specialists · and more

Your workload

Tasks and context.
Clear success criteria.

Your best-fit model

Built around the
outcomes that matter.

  1. 01 / CONNECT

    Your workload

    Tasks and context.
    Clear success criteria.

  2. 02 / EVALUATE & IMPROVE
    isoquant
    evalsconfigsoptimizationstrained specialists · and more
  3. 03 / DEPLOY WINNERS

    Your best-fit model

    Built around the
    outcomes that matter.

CASE STUDIES

Outperform frontier models at a fraction of the cost.

Models customized for your business, with quality, latency, and cost optimized around your workload.

BANKING / SPECIALIST TRAINING

An 8B specialist. Better accuracy. A fraction of the cost.

Isoquant raised banking intent accuracy from 74.7% to 91.8%, while cutting inference cost by 91.7%.

Read the case study : Banking intent classification
91.7%lower inference cost
Inference cost / 100,000 tasksLower is better ↓
GPT-5.4 mini$37.3
Isoquant Qwen3-8B specialist$3.1
74.7% → 91.8%Intent accuracy
931 ms → 588 msMean completion latency

Faster inference. Better economics.