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OpenAI: gpt-oss-20b vs Z.ai: GLM 4.7 Flash

Try both on us. Starter credit covers your first requests, then one key routes gpt-oss-20b and GLM 4.7 Flash. Switch by changing the model name.

Compare routesProviders, price, context, and policy posture in one view.

Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.

Same API shapeUse the OpenAI client and set the model you want.

Practical read

Monthly evidence

gpt-oss-20b has the lower published input-plus-output rate and more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

$0.057475/1MOpenAI: gpt-oss-20b cheapest route

$0.4853/1MZ.ai: GLM 4.7 Flash cheapest route

not enough dataOpenAI: gpt-oss-20b fastest measured p50 TTFT

not enough dataZ.ai: GLM 4.7 Flash fastest measured p50 TTFT

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

OpenAI: gpt-oss-20bZ.ai: GLM 4.7 Flash

Model idopenai/gpt-oss-20bz-ai/glm-4.7-flash

Publisher OpenAI Z.AI

AI IQ IQ 93#149 —

Context131,072 tokens131,072 tokens

Credits provider routes125

Cheapest route$0.057475/1M$0.4853/1M

Cached input$0.01/1M to $0.029013/1M$0.01055/1M to $0.03442/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFTnot enough datanot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough datanot enough data

Modes chat decide chat

OpenAI: gpt-oss-20b routes

Overview12 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Z.ai: GLM 4.7 Flash routes

Overview5 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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Production choice

Pick a default model. Keep fallback enabled.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

OpenAI clientPython

client = OpenAI(
    base_url="https://api-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="openai/gpt-oss-20b",
    messages=messages,
)

Questions

Which should I use, OpenAI: gpt-oss-20b or Z.ai: GLM 4.7 Flash?

gpt-oss-20b has the lower published input-plus-output rate and more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

Is OpenAI: gpt-oss-20b or Z.ai: GLM 4.7 Flash cheaper?

The current cheapest TrustedRouter route is $0.057475/1M for OpenAI: gpt-oss-20b and $0.4853/1M for Z.ai: GLM 4.7 Flash. The comparison uses current catalog prices and updates as provider pricing changes.

Is OpenAI: gpt-oss-20b or Z.ai: GLM 4.7 Flash faster?

Current measured p50 time to first token is not enough data for OpenAI: gpt-oss-20b and not enough data for Z.ai: GLM 4.7 Flash. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test OpenAI: gpt-oss-20b and Z.ai: GLM 4.7 Flash with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between openai/gpt-oss-20b and z-ai/glm-4.7-flash. This makes side-by-side evals possible without maintaining two provider integrations.