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Z.ai vs SambaNova
A model lab selling cheap GLM tokens against a chip company selling fast decode on large open models. One competes on price, the other on speed.
By The Subconscious Team · Updated
Z.ai vs SambaNova: key differences
Z.ai wins on price, and SambaNova tries to win on speed. Z.ai's GLM-5.3 costs $1.40 in and $4.40 out, GLM-5.3-Flash costs $0.075 in and $0.25 out, and some older Flash models are free. SambaNova builds its own Reconfigurable Dataflow Unit and serves models like MiniMax M2.7, DeepSeek, Gemma 4 31B and GPT-OSS 120B, and it reports MiniMax M2.7 near 820 tokens per second on a SambaRack SN50 in its fastest configuration. SambaNova's listing does not include GLM, so choosing between them also means choosing a model family.
Latency is where the gap matters most. Z.ai's servers sit mostly in China and add 100 to 200ms from the US or Europe, a real cost for interactive copilots. SambaNova's pitch is exactly those copilots, though many of its headline numbers are vendor benchmarks on hardware still ramping, and its public catalog is small. Z.ai's MIT weights let a team take GLM elsewhere, and most major hosts already serve it. For budget coding and bulk work, Z.ai fits. For interactive agents on big open models, SambaNova does.
What Z.ai and SambaNova 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. 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.
Example models: GLM-5.3, GLM-5.3-Flash
Full Z.ai profileSambaNova
SambaNova designs its own inference chip, the Reconfigurable Dataflow Unit, and sells fast tokens on large open models through SambaCloud. The RDU maps the model graph onto the chip to cut trips to off-chip memory. A three-tier memory design of SRAM, HBM and bulk DRAM lets one system host very large models and hot swap between several of them in milliseconds. SambaCloud serves models like MiniMax M2.7, DeepSeek, Gemma 4 31B and GPT-OSS 120B, with speeds reported by Artificial Analysis.
Example models: MiniMax M2.7, GPT-OSS 120B
Full SambaNova profileShould you choose Z.ai or SambaNova?
Z.ai
Choose Z.ai for
- Budget coding and bulk work at low token prices
- Free Flash-tier experiments
- MIT-licensed weights you can move between hosts
SambaNova
Choose SambaNova for
- Interactive copilots that need fast decode
- Agents that hot swap between several large models
- Air-cooled racks for data centers adding a speed tier
Z.ai vs SambaNova at a glance
| Attribute | Z.ai | SambaNova |
|---|---|---|
| Model access | Open weights (MIT) | Open weights |
| Flagship models | GLM-5.3, GLM-5.3-Flash | MiniMax M2.7, GPT-OSS 120B, DeepSeek |
| Speed | ~80 tok/s on GLM-5.3 | ~820 tok/s on MiniMax M2.7 (SN50) |
| Price | $1.40 in, $4.40 out (GLM-5.3); free Flash tier | $0.22 in, $0.59 out (GPT-OSS 120B) |
| Customization | Open weights, no license limits | Unknown |
| Deployment | API, GLM Coding Plan | SambaCloud, racks for neoclouds |
| Long context | 1M (GLM-5.3) | Up to 192K (MiniMax M2.7) |
Frequently asked questions
What is the difference between Z.ai and SambaNova?
A model lab selling cheap GLM tokens against a chip company selling fast decode on large open models. One competes on price, the other on speed.
When should I choose Z.ai over SambaNova?
Budget coding and bulk work at low token prices; Free Flash-tier experiments; MIT-licensed weights you can move between hosts.
When should I choose SambaNova over Z.ai?
Interactive copilots that need fast decode; Agents that hot swap between several large models; Air-cooled racks for data centers adding a speed tier.
Is Z.ai or SambaNova cheaper?
Z.ai: $1.40 in, $4.40 out (GLM-5.3); free Flash tier. SambaNova: $0.22 in, $0.59 out (GPT-OSS 120B). The cheaper choice depends on the model and workload.
Which has more context, Z.ai or SambaNova?
Z.ai: 1M (GLM-5.3). SambaNova: Up to 192K (MiniMax M2.7).
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.