OpenAI compatible API · Attested · Public status

Qwen: Qwen3 VL 235B A22B Instruct vs Z.ai: GLM 5.2

Qwen: Qwen3 VL 235B A22B Instruct vs Z.ai: GLM 5.2: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

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 VL 235B A22B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Z.ai: GLM 5.2 has more provider fallback routes, while Z.ai: GLM 5.2 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$1.1394/1MQwen: Qwen3 VL 235B A22B Instruct cheapest route

$2.2999/1MZ.ai: GLM 5.2 cheapest route

not enough dataQwen: Qwen3 VL 235B A22B Instruct fastest measured p50 TTFT

1087 msZ.ai: GLM 5.2 fastest measured p50 TTFT via friendli

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 VL 235B A22B InstructZ.ai: GLM 5.2

Model idqwen/qwen3-vl-235b-a22b-instructz-ai/glm-5.2

Publisher DeepInfra Z.AI

AI IQ — IQ 120#19

Context262,144 tokens1,048,576 tokens

Provider routes747

Cheapest route$1.1394/1M$2.2999/1M

Privacy posturehas ZDR routehas provider E2EE route

Fastest measured p50 TTFTnot enough data1087 ms via friendli

Highest measured throughputnot enough data135 tok/s via telnyx

Recent route uptime range100.00%75.00% to 100.00%

Modes chat chat

Qwen: Qwen3 VL 235B A22B Instruct routes

Overview7 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Z.ai: GLM 5.2 routes

Overview47 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Related comparisons

Browse every comparison

MoonshotAI: Kimi K3 vs Z.ai: GLM 5.280 combined provider routes
MoonshotAI: Kimi K2.6 vs Z.ai: GLM 5.277 combined provider routes
DeepSeek: DeepSeek V4 Pro vs Z.ai: GLM 5.274 combined provider routes
DeepSeek: DeepSeek V4 Flash 0423 vs Z.ai: GLM 5.273 combined provider routes
OpenAI: gpt-oss-120b vs Z.ai: GLM 5.273 combined provider routes
Google: Gemma 4 31B vs Z.ai: GLM 5.271 combined provider routes
Z.ai: GLM 5.1 vs Z.ai: GLM 5.269 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Z.ai: GLM 5.267 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-vl-235b-a22b-instruct",
    messages=messages,
)

Questions

Which should I use, Qwen: Qwen3 VL 235B A22B Instruct or Z.ai: GLM 5.2?

Is Qwen: Qwen3 VL 235B A22B Instruct or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $1.1394/1M for Qwen: Qwen3 VL 235B A22B Instruct and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3 VL 235B A22B Instruct or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is not enough data for Qwen: Qwen3 VL 235B A22B Instruct and 1087 ms for Z.ai: GLM 5.2. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Qwen: Qwen3 VL 235B A22B Instruct and Z.ai: GLM 5.2 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-vl-235b-a22b-instruct and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.