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Anthropic: Claude Opus 4.7 vs Z.ai: GLM 5.3

Try both on us. Starter credit covers your first requests, then one key routes Claude Opus 4.7 and GLM 5.3. 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

Z.ai: GLM 5.3 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$31.65/1MAnthropic: Claude Opus 4.7 cheapest route

$3.458818/1MZ.ai: GLM 5.3 cheapest route

not enough dataAnthropic: Claude Opus 4.7 fastest measured p50 TTFT

1068 msZ.ai: GLM 5.3 fastest measured p50 TTFT via thinkingmachines

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.

Anthropic: Claude Opus 4.7Z.ai: GLM 5.3

Model idanthropic/claude-opus-4.7z-ai/glm-5.3

Publisher Anthropic Z.AI

AI IQ IQ 124#30 IQ 124#28

Context1,000,000 tokens1,048,576 tokens

Credits provider routes133

Cheapest route$31.65/1M$3.458818/1M

Cached input$0.5275/1M$0.1055/1M to $0.84189/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough data1068 ms via thinkingmachines

Highest measured throughputnot enough data196 tok/s via thinkingmachines

Recent route uptime rangenot enough data85.71% to 100.00%

Modes chat messages chat

Anthropic: Claude Opus 4.7 routes

Overview1 Credits routes

Z.ai: GLM 5.3 routes

Overview33 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.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="anthropic/claude-opus-4.7",
    messages=messages,
)

Questions

Which should I use, Anthropic: Claude Opus 4.7 or Z.ai: GLM 5.3?

Z.ai: GLM 5.3 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

Is Anthropic: Claude Opus 4.7 or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $31.65/1M for Anthropic: Claude Opus 4.7 and $3.458818/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Anthropic: Claude Opus 4.7 or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is not enough data for Anthropic: Claude Opus 4.7 and 1068 ms for Z.ai: GLM 5.3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Anthropic: Claude Opus 4.7 and Z.ai: GLM 5.3 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between anthropic/claude-opus-4.7 and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.