Choose a model to open its comparison page.
GLM-4.6V benchmark, API pricing, and provider data cover 54 API providers, with prices starting at $0.010/request. GLM-4.6V free API options are available from 1 provider. The page also shows measured API speed and first-token latency.
Zhipu AI GLM-4.6V is a multimodal vision-language model in the GLM series, supporting both text and image understanding.
Observed-capability estimates with uncertainty reported separately from independent benchmark families.
Input and output token limits for this model, plus how it ranks on long-context understanding.
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2 metrics · Provisional
3 metrics · Estimated
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Third-party OpenRouter endpoint data, shown separately from LMSpeed measurements. Some 30-minute live performance fields only appear after syncing with an OpenRouter API key.
| Provider endpoint | Input | Output | 1d uptime | 30m latency | 30m throughput | Context / output |
|---|---|---|---|---|---|---|
Novita novita/bf16 | $0.300/M | $0.900/M | 97.4% | — | — | 131.1K tokens / 32.8K tokens |
Z.AI z-ai/fp8 | $0.300/M | $0.900/M | 88% | — | — | 131.1K tokens / 32.8K tokens |
Compare GLM-4.6V API pricing across 53 providers. Prices range from $0.010/request to $150.00/M. 紫脑喵 offers the lowest rate at $0.010/request. 1 provider offers free API credits or a free tier.
| Provider | Health | Model Variant | Group | Input ($/M) | Output ($/M) | Speed (t/s) | First token | Audit |
|---|---|---|---|---|---|---|---|---|
L1 100% | glm-4.6v | default | -77%$0.068/M | -77%$0.205/M | — | — | — | |
L1 100% | glm-4.6v | default | -93%$0.021/M | -93%$0.062/M | — | — | — | |
L1 100% | glm-4.6v | default | -58%$0.127/M | -58%$0.382/M | — | — | — | |
L1 100% | zai-org/GLM-4.6V | 5倍倍率分组 | -32%$0.205/M Cache read$0.103/M | -32%$0.616/M | — | — | — | |
L1 100% | glm-4.6v | default | $0.010/request | - | — | — | — | |
L1 100% | glm-4.6v | other | -58%$0.125/M | -58%$0.375/M | — | — | — | |
L1 100% | zai-org/GLM-4.6V | default | $0.490/M | $1.47/M | — | — | — | |
L1 100% | glm-4.6v | default | $0.979/M Cache read$0.196/M | $2.94/M | — | — | — | |
L1 100% | glm-4.6v | default | -54%$0.137/M | -54%$0.411/M | — | — | — | |
L1 100% | glm-4.6v | default | -77%$0.068/M | -77%$0.205/M | — | — | — | |
L1 100% | glm-4.6v | default | -63%$0.110/M | -63%$0.329/M | — | — | — | |
L1 100% | glm-4.6v | default | -58%$0.127/M | -58%$0.382/M | — | — | — | |
L1 100% | glm-4.6v | default | $0.479/M | $1.92/M | — | — | — | |
L1 100% | glm-4.6v | default | -9%$0.274/M | -54%$0.411/M | — | — | — | |
L1 99% | glm-4.6v | default | -11%$0.268/M | -11%$0.805/M | — | — | — | |
L1 96% | glm-4.6v | default | -9%$0.274/M Cache read$0.055/M | -9%$0.822/M | — | — | — | |
L1 100% | glm-4.6v | default | $1.00/M | $1.00/M | — | — | — | |
L1 100% | glm-4.6v | 聊天专属喵 | -18%$0.247/M | -18%$0.740/M | — | — | — | |
L1 100% | glm-4.6v | default | -77%$0.068/M | -77%$0.205/M | — | — | — | |
L1 99% | glm-4.6v | 企业用户 | $1.00/M | $3.00/M | — | — | — |
