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Z.ai vs Inference.net

Z.ai supplies cheap GLM models; Inference.net supplies batch on spare GPUs and a pipeline from traces to custom models. They cut cost at different layers.

By The Subconscious Team · Updated

Z.ai vs Inference.net: key differences

Both attack inference cost, at different layers. Z.ai lowers it at the model level: GLM-5.3 at $1.40 in and $4.40 out, GLM-5.3-Flash at $0.15 in and $0.50 out, and older Flash models at zero. Inference.net lowers it at the infrastructure and workflow level. Its OpenAI compatible Batch API runs on spare GPU capacity bought at steep discounts, taking up to 1M requests per file with completion windows from 24 hours to 7 days. Its Inference Gateway routes traffic to open, closed or custom models and captures it as eval and training data.

The two can work in sequence. A team might start a narrow task on GLM, capture that traffic through a gateway, then have Inference.net fine-tune a smaller task-specific model and deploy it on a dedicated GPU with a 99.99% uptime target. GLM's open weights allow that kind of downstream use. Inference.net's weak point is evidence, with few independent benchmarks. Z.ai's weak points are servers mostly in China and 100 to 200ms of added latency from the US or Europe.

What Z.ai and Inference.net do

Z.ai

Z.AI is the international brand of Chinese lab Zhipu AI, maker of the GLM models. Its current flagship, GLM-5.3, shipped August 17, 2026 at $1.40 in and $4.40 out per million tokens, with cached input at $0.26. Its weights came out August 28 under a custom GLM-5.3 License that requires a security review for hosts with more than $10B in yearly revenue. GLM-5.3-Flash, a 320B multimodal model with 18B active, costs $0.15 in and $0.50 out, and several older Flash models are priced at zero, a real free tier instead of trial credits. GLM-5, released in February 2026, is a 744B mixture-of-experts model under an MIT license, and at launch it ranked first among open-weight models on the Artificial Analysis index with a record-low hallucination score.

Example models: GLM-5.3, GLM-5.3-Flash

Full Z.ai profile

Inference.net

Inference.net started as a buyer of last resort for idle GPU time. Its scheduler aggregates small unused chunks of capacity across data centers and runs models on them, and it passes the steep discounts it gets from those data centers on to customers. That origin still shows in its OpenAI compatible Batch API, which takes up to 1M requests per file with completion windows from 24 hours to 7 days and far higher headroom than synchronous limits.

Example models: GLM-5.2, Kimi K2.6, Schematron, customer fine-tunes

Full Inference.net profile

Should you choose Z.ai or Inference.net?

Z.ai

Choose Z.ai for

  • Cheap real-time GLM calls and coding
  • Free-tier experiments
  • Open weights to distill or fine-tune

Inference.net

Choose Inference.net for

  • Large offline jobs on discounted spare capacity
  • Turning production traffic into a custom model
  • Batch windows of 24 hours to 7 days

Z.ai vs Inference.net at a glance

AttributeZ.aiInference.net
Model accessOpen weights (GLM-5.3 License; MIT on Flash and older)Open, closed and custom
Flagship modelsGLM-5.3, GLM-5.3-FlashSchematron, ClipTagger, customer fine-tunes
Speed~80 tok/s on GLM-5.3Batch windows of 24h to 7 days
Price$1.40 in, $4.40 out (GLM-5.3); free Flash tierFree pay-as-you-go; Growth $250/mo; B200 $9.98/hr
CustomizationOpen weights; GLM-5.3 License adds review for large hostsDistill traces into custom models
DeploymentAPI, GLM Coding PlanBatch API, gateway, dedicated GPUs
Long context1M (GLM-5.3)Varies by model

Frequently asked questions

What is the difference between Z.ai and Inference.net?

Z.ai supplies cheap GLM models; Inference.net supplies batch on spare GPUs and a pipeline from traces to custom models. They cut cost at different layers.

When should I choose Z.ai over Inference.net?

Cheap real-time GLM calls and coding; Free-tier experiments; Open weights to distill or fine-tune.

When should I choose Inference.net over Z.ai?

Large offline jobs on discounted spare capacity; Turning production traffic into a custom model; Batch windows of 24 hours to 7 days.

Is Z.ai or Inference.net cheaper?

Z.ai: $1.40 in, $4.40 out (GLM-5.3); free Flash tier. Inference.net: Free pay-as-you-go; Growth $250/mo; B200 $9.98/hr. The cheaper choice depends on the model and workload.

Which has more context, Z.ai or Inference.net?

Z.ai: 1M (GLM-5.3). Inference.net: Varies by model.

Related comparisons

Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.