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 |
| DeepSeek V4 Flash | novita | $14.00 | $28.00 |
| DeepSeek V4 Flash | bytedance | $14.00 | $28.00 |
| DeepSeek V4 Flash | deepseek | $44.00 | $132.00 |
| DeepSeek V4 Flash | akashml | $14.00 | $28.00 |
Decision snapshot
| Decision factor | GLM-5.3-Flash | DeepSeek V4 Flash 0731 |
|---|---|---|
| Text and agent workflows | High-volume multimodal flash at low cost | Cheapest text-only flash tier — pick when cost dominates and multimodal is not required |
| Input price per 1M tokens | $0.075 | $0.030 |
| Output price per 1M tokens | $0.250 | $0.075 |
| Context window | 1,048,576 tokens | 1,310,720 tokens |
| Input modalities | Text, image, video, file | Text only (vision not stated for 0731) |
| Architecture | Mixture-of-experts | See DeepSeek V4 Flash 0731 model card |
| License | Z.ai proprietary | DeepSeek (verify current terms) |
| Deployment control | API; weights pending release | API; verify self-host terms |
| Vendor | Z.ai | DeepSeek |
How to read this comparison
DeepSeek V4 Flash 0731 is the cheapest honest flash-tier model in the OneInfer catalog as of 27 August 2026 — about 2.5× cheaper on input and 3.3× cheaper on output than GLM-5.3-Flash. The trade is multimodal: DeepSeek does not publish vision benchmarks for the 0731 checkpoint, so if your workload is image + text at flash tier, GLM-5.3-Flash is the right call; if it is text-only and price dominates, DeepSeek V4 Flash 0731 wins.
Pricing context
At a 1:3 input:output ratio, GLM-5.3-Flash blends to ~$0.21 per 1M tokens versus DeepSeek V4 Flash 0731 at ~$0.064 — about a 3.3× gap on blended cost. The page exists so "cheapest flash tier" claims are not anchored on GLM-5.3-Flash; the right anchor for that is DeepSeek V4 Flash 0731 (or the next cheaper text-only option that lands after this verification date).
Ready to test the workflow?
Create account & add creditsStrengths and tradeoffs
GLM-5.3-Flash wins on multimodal breadth (text + image + video + file), Z.ai production stability, and a 1M context matched to its multimodal surface. DeepSeek V4 Flash 0731 wins on price — both per-token and blended — and on a slightly larger context (1.31M vs 1.05M). The benchmarks that matter for the workload decide it: vendor-reported only for DeepSeek 0731 versus Z.ai coding scores alongside the multimodal story for GLM-5.3-Flash.
Workload recommendation
| Workload | Recommended starting point |
|---|---|
| Text-only routing, classification, extraction at lowest cost | DeepSeek V4 Flash 0731 |
| Image + text input at flash-tier pricing | GLM-5.3-Flash |
| Video or file input at flash tier | GLM-5.3-Flash |
| High-volume agentic loops where output cost dominates | DeepSeek V4 Flash 0731 |
| Production SLA with vendor-managed multimodal API | GLM-5.3-Flash |
Frequently asked questions
Is GLM-5.3-Flash cheaper than DeepSeek V4 Flash 0731?
No. DeepSeek V4 Flash 0731 is 2.5× cheaper on input ($0.030 vs $0.075 per 1M) and 3.3× cheaper on output ($0.075 vs $0.250 per 1M). GLM-5.3-Flash's position is native multimodal at flash-tier pricing — not the cheapest line item.
Is DeepSeek V4 Flash 0731 multimodal?
Vision input is not stated for the 0731 checkpoint as of 27 August 2026. If your workload needs image + text input, GLM-5.3-Flash is the flash-tier alternative with that capability.
How do I choose between them?
By workload. Cheapest text-only inference → DeepSeek V4 Flash 0731. Multimodal flash at low cost → GLM-5.3-Flash. Validate on a fixed prompt set before changing production routing, since the price gap is large enough that even a small accuracy difference can flip the economics.
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.