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Qwen/Qwen3-235B-A22B-Instruct-2507 vs Z.ai: GLM 4.7 Flash

Try both on us. Starter credit covers your first requests, then one key routes Qwen/Qwen3-235B-A22B-Instruct-2507 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

Qwen/Qwen3-235B-A22B-Instruct-2507 has the larger context window. Z.ai: GLM 4.7 Flash has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

$0.6752/1MQwen/Qwen3-235B-A22B-Instruct-2507 cheapest route

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

1351 msQwen/Qwen3-235B-A22B-Instruct-2507 fastest measured p50 TTFT via scaleway

886 msZ.ai: GLM 4.7 Flash fastest measured p50 TTFT via greenference

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.

Qwen/Qwen3-235B-A22B-Instruct-2507Z.ai: GLM 4.7 Flash

Model idqwen/qwen3-235b-a22b-instruct-2507z-ai/glm-4.7-flash

Publisher Alibaba Cloud Model Studio Z.AI

AI IQ — —

Context262,144 tokens131,072 tokens

Credits provider routes56

Cheapest route$0.6752/1M$0.4853/1M

Cached inputNot published$0.01055/1M to $0.03442/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFT1351 ms via scaleway886 ms via greenference

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Qwen/Qwen3-235B-A22B-Instruct-2507 routes

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

Z.ai: GLM 4.7 Flash routes

Overview6 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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Z.ai: GLM 4.7 Flash vs Z.ai: GLM 5.339 combined provider routes
Qwen/Qwen3-235B-A22B-Instruct-2507 vs Z.ai: GLM 5.338 combined provider routes
Z.ai: GLM 4.7 Flash vs Z.ai: GLM 5.238 combined provider routes
Z.ai: GLM 4.7 Flash vs Z.ai: GLM 5.3 Flash38 combined provider routes
Qwen/Qwen3-235B-A22B-Instruct-2507 vs Z.ai: GLM 5.237 combined provider routes
Qwen/Qwen3-235B-A22B-Instruct-2507 vs Z.ai: GLM 5.3 Flash37 combined provider routes
MoonshotAI: Kimi K3 vs Z.ai: GLM 4.7 Flash34 combined provider routes
MoonshotAI: Kimi K3 vs Qwen/Qwen3-235B-A22B-Instruct-250733 combined provider routes

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="qwen/qwen3-235b-a22b-instruct-2507",
    messages=messages,
)

Questions

Which should I use, Qwen/Qwen3-235B-A22B-Instruct-2507 or Z.ai: GLM 4.7 Flash?

Is Qwen/Qwen3-235B-A22B-Instruct-2507 or Z.ai: GLM 4.7 Flash cheaper?

The current cheapest TrustedRouter route is $0.6752/1M for Qwen/Qwen3-235B-A22B-Instruct-2507 and $0.4853/1M for Z.ai: GLM 4.7 Flash. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen/Qwen3-235B-A22B-Instruct-2507 or Z.ai: GLM 4.7 Flash faster?

Current measured p50 time to first token is 1351 ms for Qwen/Qwen3-235B-A22B-Instruct-2507 and 886 ms 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 Qwen/Qwen3-235B-A22B-Instruct-2507 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 qwen/qwen3-235b-a22b-instruct-2507 and z-ai/glm-4.7-flash. This makes side-by-side evals possible without maintaining two provider integrations.