7 Oct 2026 · First recorded terms
Input 0.07 USD / 1M tokensCached input (read) 0.065 USD / 1M tokensOutput 7.00 USD / 1M tokens
Note: OpenRouter publishes a separate price for each route of this model. 44 priced routes are listed under API routes, each with its own last check and source.
Each route is a separate deployment of this offer with its own published prices. Only published prices are shown.
| Route | Input | Cached input | Output | Last checked |
|---|---|---|---|---|
| GLM-5.3 | Not published | Not published | Not published | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.19 | 0.19 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 2.10 | 0.21 | 6.60 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.60 | 0.10 | 2.50 | |
| GLM-5.3Upstream provider — the company actually serving this routeRegion — where this route is served | 1.68 | 0.312 | 5.28 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 1.40 | 0.26 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weightsRoute ID: mistral/zdr | 1.40 | 0.14 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weightsRegion — where this route is served | 0.08 | 0.076 | 3.60 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.56 | 0.10 | 1.78 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 1.40 | 0.26 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeRoute ID: fireworks | 1.40 | 0.26 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weightsRoute ID: mistral/nvfp4 | 1.40 | 0.14 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this route | 0.91 | 0.169 | 2.86 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weightsRoute ID: parasail/fp8 | 1.40 | 0.26 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.08 | 0.076 | 3.60 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.07 | 0.069 | 1.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weightsRegion — where this route is served | 0.75 | 0.12 | 3.00 | |
| GLM-5.3Upstream provider — the company actually serving this routeRoute ID: alibaba/prime | 2.80 | 0.56 | 8.80 | |
| GLM-5.3Upstream provider — the company actually serving this routeRoute ID: alibaba | 1.19 | 0.238 | 3.74 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.179 | 0.178 | 1.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeRoute ID: fireworks/fast | 2.10 | 0.39 | 6.60 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weightsRegion — where this route is served | 1.40 | 0.14 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.18 | 0.125 | 3.00 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.50 | 0.08 | 2.00 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 1.40 | 0.26 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this route | 1.40 | 0.26 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 1.40 | 0.14 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weightsRegion — where this route is served | 1.54 | 0.154 | 4.84 | |
| GLM-5.3Upstream provider — the company actually serving this route | 1.40 | 0.26 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weightsRegion — where this route is served | 2.10 | 0.21 | 6.60 | |
| GLM-5.3Upstream provider — the company actually serving this route | 0.18 | 0.15 | 2.95 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 1.20 | 0.19 | 4.00 | |
| GLM-5.3Upstream provider — the company actually serving this route | 0.40 | 0.0744 | 2.46 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.33 | 0.31 | 3.20 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weightsRegion — where this route is served | 0.0699 | 0.0689 | 1.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 2.10 | 0.40 | 6.60 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 1.00 | 0.14 | 3.08 | |
| GLM-5.3Upstream provider — the company actually serving this route | 0.0703 | 0.0703 | 4.38 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 1.40 | 0.26 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this route | 0.70 | 0.13 | 2.20 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.0703 | 0.0703 | 4.38 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.75 | 0.19 | 3.00 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 0.19 | 0.19 | 4.40 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weightsRoute ID: parasail/fast | 2.10 | 0.26 | 6.60 | |
| GLM-5.3Upstream provider — the company actually serving this routeQuantization — numeric precision of the served weights | 1.40 | 0.26 | 4.40 |
Every published revision of this offer, newest last in the chart. Earlier terms are kept; a correction adds a revision; a change of model version is marked as a break.
Only one set of terms is recorded, so there is no chart yet. The revision is listed below.
Input 0.07 USD / 1M tokensCached input (read) 0.065 USD / 1M tokensOutput 7.00 USD / 1M tokens
Revisions without published terms are not listed (1).
Other providers, tiers and subscriptions for the same model version. Prices differ by provider, region and conditions.
| Provider | Input | Output | Cached input | Cache write |
|---|---|---|---|---|
| CloudFerro Sherlock | 0.34 | 4.48 | Not published | Not published |
| SCX.ai | 0.98 | 3.08 | 0.18 | Not published |
| ai& | 1.00 | 4.00 | 0.30 | Not published |
| Alibaba (China) | 1.10 | 3.85 | 0.275 | Free |
| Boundless | 1.12 | 3.52 | 0.14 | Not published |
| Kyma | 1.18 | 3.70 | Not published | Not published |
| CoreWeave | 1.20 | 4.00 | 0.19 | Not published |
| AI/ML API | 1.40 | 4.40 | 0.26 | Not published |
| Arcee | 1.40 | 4.40 | 0.26 | Not published |
| ClinePass | 1.40 | 4.40 | 0.26 | Not published |
| Cloudflare Workers AI | 1.40 | 4.40 | 0.26 | Not published |
| Bothub | 1.42 | 4.48 | Not published | Not published |
| Amazon Bedrock | 1.85 | 5.81 | 0.3432 | 2.31 |
| AIHubMix | Free | Free | Not published | Not published |
| Alibaba Token Plan | Free | Free | Free | Free |
| Bigmodel | Not published | 4.00 | Not published | Not published |