# Cheapest GLM 5.3 Flash API providers, compared (prices checked Nov 7, 2026)

URL: https://ernd.ai/inference-prices/glm-5-3-flash

> ernd partners with [Wafer](https://ernd.ai/partners/wafer). Prices are from OpenRouter's public listings.

GLM 5.3 Flash is an open-weight model from Z.ai. On OpenRouter, 41 listings from 36 providers sell it, and the blended price runs from $0.0459 to $0.297 per million tokens.

| Provider | Input /1M | Output /1M | Blended 3:1 | Cache read /1M | Context | Quantization | Latency | Throughput | With ernd card |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Relace | $0.0335 | $0.083 | $0.0459 | $0.03 | 1.05M | FP4 | 0.95 s | 70 tok/s | – |
| Wafer (US), ernd partner | $0.0353 | $0.184 | $0.0725 | $0.0343 | 1.05M | NVFP4 | 0.48 s | 106 tok/s | $0.0652 after 10% cash back |
| Wafer, ernd partner | $0.054 | $0.20 | $0.0905 | $0.053 | 1.05M | NVFP4 | 0.46 s | 99 tok/s | $0.0814 after 10% cash back |
| Darkbloom | $0.065 | $0.18 | $0.0938 | $0.012 | 262K | FP4 | 2.56 s | 29 tok/s | – |
| Open Inference | $0.06 | $0.24 | $0.105 | $0.03 | 1.05M | FP4 | 0.78 s | 111 tok/s | – |
| GMICloud | $0.075 | $0.25 | $0.119 | $0.015 | 1.05M | FP8 | 2.17 s | 64 tok/s | – |
| Tenstorrent | $0.075 | $0.25 | $0.119 | $0.015 | 262K | FP8 | 2.27 s | 51 tok/s | – |
| NovitaAI | $0.084 | $0.28 | $0.133 | $0.0168 | 1.05M | FP8 | 3.21 s | 40 tok/s | – |
| StreamLake | $0.0885 | $0.295 | $0.14 | $0.0177 | 1.02M | FP8 | 2.83 s | 40 tok/s | – |
| Morph | $0.122 | $0.248 | $0.153 | $0.052 | 1.05M | FP8 | 1.00 s | 46 tok/s | – |
| Reka AI | $0.12 | $0.30 | $0.165 | $0.03 | 1.05M | Not listed | 0.68 s | 79 tok/s | – |
| Makora | $0.14 | $0.24 | $0.165 | $0.03 | 1.05M | FP4 | 0.64 s | 82 tok/s | – |
| inference.net | $0.108 | $0.35 | $0.168 | $0.032 | 1.05M | FP4 | 0.42 s | 93 tok/s | – |
| inference.net (US) | $0.108 | $0.35 | $0.168 | $0.032 | 1.05M | FP4 | 0.37 s | 97 tok/s | – |
| DigitalOcean | $0.113 | $0.375 | $0.178 | $0.03 | 1.05M | Not listed | 0.87 s | 106 tok/s | – |
| Phala | $0.113 | $0.375 | $0.178 | $0.0225 | 1.05M | NVFP4 | 2.76 s | 36 tok/s | – |
| CoreWeave | $0.12 | $0.38 | $0.185 | $0.02 | 1.05M | NVFP4 | 0.68 s | 123 tok/s | – |
| NEAR AI | $0.08 | $0.50 | $0.185 | $0.012 | 1.05M | FP8 | 0.91 s | 28 tok/s | – |
| Particle AI | $0.10 | $0.50 | $0.20 | $0.03 | 1.05M | NVFP4 | 0.80 s | 110 tok/s | – |
| NextBit | $0.12 | $0.45 | $0.203 | $0.03 | 1.05M | FP4 | 1.36 s | 49 tok/s | – |
| AtlasCloud | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | FP8 | 3.28 s | 37 tok/s | – |
| Baseten | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | FP8 | 0.51 s | 97 tok/s | – |
| Baseten (US) | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | FP8 | 0.46 s | 107 tok/s | – |
| Cohere | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | NVFP4 | 0.76 s | 119 tok/s | – |
| Crusoe | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | FP4 | 0.81 s | 104 tok/s | – |
| DeepInfra | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | FP4 | 0.92 s | 83 tok/s | – |
| Fireworks | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | Not listed | 0.88 s | 105 tok/s | – |
| Friendli | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | Not listed | 0.59 s | 100 tok/s | – |
| Mistral | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | Not listed | 2.18 s | 61 tok/s | – |
| Modal | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | FP4 | 0.40 s | 95 tok/s | – |
| Nebius Token Factory | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | FP4 | 1.10 s | 80 tok/s | – |
| Parasail | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | FP4 | 0.84 s | 111 tok/s | – |
| Prime Intellect | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | Not listed | 0.95 s | 93 tok/s | – |
| SiliconFlow | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | FP8 | 2.00 s | 38 tok/s | – |
| Together | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | Not listed | 1.09 s | 118 tok/s | – |
| Venice | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | Not listed | 0.89 s | 105 tok/s | – |
| Z.ai | $0.15 | $0.50 | $0.237 | $0.03 | 1.05M | FP8 | 2.17 s | 41 tok/s | – |
| Inceptron | $0.175 | $0.45 | $0.244 | $0.04 | 1.05M | FP8 | 0.59 s | 90 tok/s | – |
| Sail Research | $0.175 | $0.625 | $0.287 | $0.0225 | 1.05M | FP4 | 0.94 s | 41 tok/s | – |
| Sail Research (US) | $0.175 | $0.625 | $0.287 | $0.0225 | 1.05M | FP4 | 0.95 s | 50 tok/s | – |
| Parasail (Fast) | $0.188 | $0.625 | $0.297 | $0.0375 | 1.05M | FP4 | 1.02 s | 105 tok/s | – |

Blended is three parts input price to one part output, per million tokens. Latency is time to first token and throughput is output tokens per second, both averaged from OpenRouter's daily figures for the last 7 days. Cheapest and fastest only count listings that were up when checked.

Wafer is an ernd partner: 10% back on Wafer inference with the ernd card. With ernd card is the blended price less 10% cash back on Wafer charges. It comes back on the card bill and doesn't change Wafer's list price. It applies when you pay Wafer directly, not through OpenRouter credits.

## Questions

### What is the cheapest GLM 5.3 Flash API provider?

Relace, at $0.0459 per million tokens blended ($0.0335 input, $0.083 output), in OpenRouter's listings on November 7, 2026.

### How much does GLM 5.3 Flash cost per million tokens?

Input runs from $0.0335 to $0.188 per million tokens across 41 listings, and output from $0.083 to $0.625. The middle listing comes to $0.237 blended.

### Which GLM 5.3 Flash provider is fastest?

CoreWeave had the most throughput over the last 7 days, about 123 tokens per second. inference.net (US) was quickest to the first token at 0.37 s.

### How do I pay for GLM 5.3 Flash inference?

Buy OpenRouter credits and it sends each request to one of these providers, or open an account with a provider and pay it directly. The ernd card is a credit card for US companies. It earns 4% back on AI vendor spend and 1.5% back on everything else. Wafer charges on the card earn 10% back.

Source: OpenRouter public model and provider listings (https://openrouter.ai/models), checked November 7, 2026.

The ernd card is a credit card for US companies. It earns 4% back on AI vendor spend and 1.5% back on everything else. [Request the card at app.ernd.ai](https://app.ernd.ai/login?next=%2Fapp%2Fcard%2Fapply&utm_source=llms&utm_campaign=inference_prices).