Backed by Combinator
Ultra-fast inference optimized for your workload.
Run open models at the lowest cost and latency, with APIs that work with your existing stack.
DeepSeek V4.1 Flash 1017 Fast
Strong reasoning, coding, and vision, reaching 600+ tokens/sec.
Cached input tokens
Output tokens
GLM‑5.3‑Flash
Optimized inference for coding, reasoning, and agent workflows.
Input tokens
Cached input tokens
Output tokens
- No top-up fees.
- Automatic prompt caching.
GLM‑5.3‑Flash performance.
The engineering behind Isoquant.
GPU engineering and performance optimization across the inference stack.
Architecture-aware optimization
Execution tuned to the architecture of each model.
- Model architecture
- Mixed precision
GPU performance engineering
More useful work through kernel and memory engineering.
- Kernel optimization
- Memory optimization
Accelerated decoding
A faster path from computation to generated tokens.
- Speculative decoding
- Decode optimization
Workload-aware orchestration
Serving engineered for long context and concurrent traffic.
- KV cache
- Load balancing
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": "deepseek-v4.1-flash-1017-fast",
"messages": [{"role":"user","content":"Hello!"}],
"max_tokens": 4096,
"reasoning_effort": "low"
}'Self-optimizing inference, built for your evolving workload.
We continuously train, tune, and optimize models for higher quality, lower cost, and faster responses.
Your workload
Tasks and context.
Clear success criteria.
Your best-fit model
Built around the
outcomes that matter.
- 01 / CONNECT
Your workload
Tasks and context.
Clear success criteria. - 02 / EVALUATE & IMPROVEisoquantevalsconfigsoptimizationstrained specialists · and more
- 03 / DEPLOY WINNERS
Your best-fit model
Built around the
outcomes that matter.
Outperform frontier models at a fraction of the cost.
Models customized for your business, with quality, latency, and cost optimized around your workload.
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 classificationCoding and repair
GPT-5.4 mini’s coding success, matched by Isoquant-optimized GPT-5.4 nano.
Returns-policy decisions
Isoquant-optimized GPT-5.4 nano beat GPT-5.4 mini’s accuracy at 40.9% lower cost.
Multi-step order resolution
Isoquant-optimized Qwen3.6-35B-A3B achieved 6.2× GPT-5.4 mini’s task success rate.
