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Qwen: Qwen3 Next 80B A3B Instruct vs Z.ai: GLM 4.7 Flash

Try both on us. Starter credit covers your first requests, then one key routes Qwen3 Next 80B A3B Instruct 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 Next 80B A3B Instruct has the larger context window. Z.ai: GLM 4.7 Flash has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

$1.25545/1MQwen: Qwen3 Next 80B A3B Instruct cheapest route

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

not enough dataQwen: Qwen3 Next 80B A3B Instruct 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.

Qwen: Qwen3 Next 80B A3B InstructZ.ai: GLM 4.7 Flash

Model idqwen/qwen3-next-80b-a3b-instructz-ai/glm-4.7-flash

Publisher Alibaba Cloud Model Studio Z.AI

AI IQ — —

Context262,144 tokens131,072 tokens

Credits provider routes45

Cheapest route$1.25545/1M$0.4853/1M

Cached input$0.062641/1M to $0.07385/1M$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 chat

Qwen: Qwen3 Next 80B A3B Instruct routes

Overview4 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

Related comparisons

Browse every comparison

Z.ai: GLM 4.7 Flash vs Z.ai: GLM 5.338 combined provider routes
Qwen: Qwen3 Next 80B A3B Instruct vs Z.ai: GLM 5.337 combined provider routes
Z.ai: GLM 4.7 Flash vs Z.ai: GLM 5.237 combined provider routes
Z.ai: GLM 4.7 Flash vs Z.ai: GLM 5.3 Flash37 combined provider routes
Qwen: Qwen3 Next 80B A3B Instruct vs Z.ai: GLM 5.236 combined provider routes
Qwen: Qwen3 Next 80B A3B Instruct vs Z.ai: GLM 5.3 Flash36 combined provider routes
MoonshotAI: Kimi K3 vs Z.ai: GLM 4.7 Flash33 combined provider routes
MoonshotAI: Kimi K3 vs Qwen: Qwen3 Next 80B A3B Instruct32 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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="qwen/qwen3-next-80b-a3b-instruct",
    messages=messages,
)

Questions

Which should I use, Qwen: Qwen3 Next 80B A3B Instruct or Z.ai: GLM 4.7 Flash?

Is Qwen: Qwen3 Next 80B A3B Instruct or Z.ai: GLM 4.7 Flash cheaper?

The current cheapest TrustedRouter route is $1.25545/1M for Qwen: Qwen3 Next 80B A3B Instruct 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 Next 80B A3B Instruct or Z.ai: GLM 4.7 Flash faster?

Current measured p50 time to first token is not enough data for Qwen: Qwen3 Next 80B A3B Instruct 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 Qwen: Qwen3 Next 80B A3B Instruct 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-next-80b-a3b-instruct and z-ai/glm-4.7-flash. This makes side-by-side evals possible without maintaining two provider integrations.