Live pricing on OneInfer
Pulled from the OneInfer catalog (OpenRouter and direct provider routes) at request time — rates can change. Capture the timestamp with any benchmark or production decision.
| Model | Provider | Input $/1M tokens | Output $/1M tokens |
|---|---|---|---|
| GLM-5.3-Flash | zai | $140.00 | $440.00 |
| GLM-5.3-Flash | zai | $100.00 | $320.00 |
| GLM-5.3-Flash | zai | $7.50 | $25.00 |
| GLM-5.3-Flash | novita | $7.50 | $25.00 |
| GLM-5.3-Flash | together_ai | $15.00 | $50.00 |
| GLM-5.3 | zai | $140.00 | $440.00 |
| GLM-5.3 | zai | $7.50 | $25.00 |
| GLM-5.3 | novita | $7.50 | $25.00 |
| GLM-5.3 | together_ai | $15.00 | $50.00 |
Decision snapshot
| Decision factor | GLM-5.3-Flash | GLM-5.3 |
|---|---|---|
| Text and agent workflows | High-volume, bounded automation and routing | Hardest reasoning, long-horizon agentic coding |
| Input price per 1M tokens | $0.075 | $1.40 |
| Output price per 1M tokens | $0.250 | $4.40 |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Input modalities | Text, image, video, file | Text, image, video, file |
| Reasoning effort | low / high / max | low / high / max (always on) |
| Deployment control | API; weights pending release | API; weights pending release |
| Vendor | Z.ai | Z.ai |
How to read this comparison
GLM-5.3-Flash and GLM-5.3 share the same multimodal input surface and the same 1M-token context — the difference is reasoning depth, output token budget, and price. The flash tier is the right pick when the workload is volume-bound and tasks are bounded; the flagship is the right pick when the cost of a wrong answer exceeds the cost of more tokens.
Pricing context
At a 1:3 input:output ratio, GLM-5.3-Flash blends to roughly $0.21 per 1M tokens versus GLM-5.3 at $2.65 — about a 12× gap on blended cost. Choose on the workload, not the line item.
Ready to test the workflow?
Create account & add creditsStrengths and tradeoffs
Flash wins on price and throughput; flagship wins on reasoning quality, agentic coding depth, and the hardest vendor-reported evaluation rows. Both serve multimodal input at the same context window.
Workload recommendation
| Workload | Recommended starting point |
|---|---|
| High-volume classification, routing, extraction | GLM-5.3-Flash |
| Agentic coding on a real repository | GLM-5.3 |
| Multimodal document Q&A at low cost | GLM-5.3-Flash |
| Hardest reasoning, math, multi-step planning | GLM-5.3 |
| Long-context retrieval at fixed budget | Either — same context, different output cost |
Frequently asked questions
Is GLM-5.3-Flash multimodal like GLM-5.3?
Yes — both accept text, image, video, and file input at a 1,048,576-token context window. Output is text on both.
How much cheaper is GLM-5.3-Flash than GLM-5.3?
On Z.ai list pricing, GLM-5.3-Flash is $0.075 input / $0.250 output per 1M tokens versus GLM-5.3 at $1.40 input / $4.40 output — about 18× cheaper on input and 17× on output.
When should I use the flagship instead of the flash?
When the cost of a wrong answer exceeds the cost of more tokens — long-horizon agentic coding, multi-step planning, or the hardest reasoning benchmarks. For bounded, high-volume tasks, the flash tier is the right default.
Can I try GLM-5.3 before integrating it?
Use the OneInfer GLM-5.3 launcher to open a prepared prompt in the authenticated playground. Availability is checked against the current model catalog.
How should I treat benchmark claims?
Check the provenance label and harness version. Vendor-reported and independently verified results are deliberately shown as different evidence classes.
Put GLM-5.3 to work
Fund a controlled evaluation, start with a prepared prompt, and measure quality and cost on your own workload.