NewPoint any agent at UberLLM — one key, every model, list price or less.

Qwen3 VL 235B A22B vs GLM-5.2

qwen/qwen3-vl-235b-a22b-instruct · z-ai/glm-5.2

As of October 24, 2026, Qwen3 VL 235B A22B is the cheaper API on UberLLM: $0.0025 per million input tokens and $0.0230 per million output, versus $0.0021 / $0.2680 for GLM-5.2 — about 91% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with UberLLM's 10% fee already included, so the price you see is the price you pay. Choose Qwen3 VL 235B A22B to cut cost; choose GLM-5.2 when context size wins — GLM-5.2 carries the larger context window (1,048,576 vs 256,000 tokens), which can matter for long-document work.

Qwen3 VL 235B A22B vs GLM-5.2, side by side

SpecQwen3 VL 235B A22BGLM-5.2
Price · input / 1M$0.0025$0.0021
Price · output / 1M$0.0230$0.2680
Context length256,0001,048,576
Max output tokens8,00032,768
Input modalitiestext, imagetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
Reasoning—Yes
Cheapest sellerUberLLM716
% off list99% off94% off

Live prices via UberLLM, routed to the cheapest healthy seller. The price shown includes UberLLM’s 10% fee. Updated October 24, 2026.

Qwen3 VL 235B A22B vs GLM-5.2 — FAQ

Is Qwen3 VL 235B A22B or GLM-5.2 cheaper?

Qwen3 VL 235B A22B is cheaper on a blended token mix, by about 91%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with its 10% fee included.

What's the price difference between Qwen3 VL 235B A22B and GLM-5.2?

Qwen3 VL 235B A22B: $0.0025 in / $0.0230 out per 1M tokens. GLM-5.2: $0.0021 in / $0.2680 out per 1M tokens. That's roughly a 91% blended difference. Prices are live and include UberLLM's 10% fee.

Can I use both Qwen3 VL 235B A22B and GLM-5.2 with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

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