# Z.ai vs General Compute

> Z.ai builds the GLM models and sells a cheap coding plan. General Compute hosts MiniMax, DeepSeek and GPT-OSS on ASIC decode hardware.

Canonical: https://www.subconscious.dev/compare/z-ai-vs-general-compute · By The Subconscious Team · Updated October 27, 2026

## How they compare

Z.ai serves its own GLM-5.3 at $1.40 in and $4.40 out per million tokens with a 1M context and about 80 tokens per second, plus GLM-5.3-Flash at $0.075 in and $0.25 out and free older Flash models. The GLM Coding Plan starts at $18 a month, and an Anthropic-compatible endpoint runs Claude Code on GLM. General Compute serves other labs' open models, MiniMax M2.7, DeepSeek V3.2, DeepSeek V3.1 and GPT-OSS 120B, from $0.21 in, through an OpenAI-compatible API in us-west-2. It measured over 1,000 tokens per second on GPT-OSS 120B in its own benchmark.

Z.ai is the pick for cheap agentic coding inside Claude Code and for long context on a first-party model. Its servers sit mostly in China, which adds latency from the US. General Compute fits US teams that care most about decode speed and can work in OpenAI format, since it has no Anthropic Messages endpoint.

## What each one does

### 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 costs $0.075 in and $0.25 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.

### General Compute

General Compute is a San Francisco inference cloud built on alternative chips. It splits each request across hardware, with NVIDIA GPUs handling prefill and ASICs from Cerebras, SambaNova, Positron AI and d-Matrix handling decode. In its own open benchmark on GPT-OSS 120B it measured 1,025 to 1,234 output tokens per second against 100 to 121 on an unnamed GPU cloud, and up to 16.2x faster end to end. Founders Finn Puklowski and Jason Goodison raised a $15M seed led by FUSE, an up to $400M debt facility from Upper90 and, on October 27, 2026, a $100M Series A co-led by Blackbird and Abstract.

## Which is best, and when

### Choose Z.ai for

- Budget coding inside Claude Code
- A free Flash tier
- 1M context on GLM-5.3

### Choose General Compute for

- Fast decode from a US region
- Agent loops on smaller open models
- Reserved ASIC capacity

## At a glance

| Attribute | Z.ai | General Compute |
|---|---|---|
| Model access | Open weights (GLM-5.3 License; MIT on Flash and older) | Open weights |
| Flagship models | GLM-5.3, GLM-5.3-Flash | MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B |
| Speed | ~80 tok/s on GLM-5.3 | 1,000+ tok/s on GPT-OSS 120B (vendor) |
| Price | $1.40 in, $4.40 out (GLM-5.3); free Flash tier | $0.21–$0.28 in, $0.38–$1.20 out per 1M |
| Customization | Open weights; GLM-5.3 License adds review for large hosts | Custom LoRA and fine-tuned checkpoints |
| Deployment | API, GLM Coding Plan | Serverless API, dedicated racks, bare metal |
| Long context | 1M (GLM-5.3) | 192K (MiniMax M2.7) |

## FAQ

### What is the difference between Z.ai and General Compute?

Z.ai builds the GLM models and sells a cheap coding plan. General Compute hosts MiniMax, DeepSeek and GPT-OSS on ASIC decode hardware.

### When should I choose Z.ai over General Compute?

Budget coding inside Claude Code; A free Flash tier; 1M context on GLM-5.3.

### When should I choose General Compute over Z.ai?

Fast decode from a US region; Agent loops on smaller open models; Reserved ASIC capacity.

### Is Z.ai or General Compute cheaper?

Z.ai: $1.40 in, $4.40 out (GLM-5.3); free Flash tier. General Compute: $0.21–$0.28 in, $0.38–$1.20 out per 1M. The cheaper choice depends on the model and workload.

### Which has more context, Z.ai or General Compute?

Z.ai: 1M (GLM-5.3). General Compute: 192K (MiniMax M2.7).

## Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious: [Subconscious vs Z.ai](https://www.subconscious.dev/compare/subconscious-vs-z-ai.md), [Subconscious vs General Compute](https://www.subconscious.dev/compare/subconscious-vs-general-compute.md).

Full profiles: [Z.ai](https://www.subconscious.dev/providers/z-ai.md), [General Compute](https://www.subconscious.dev/providers/general-compute.md).