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

Qwen3 VL 235B A22B vs Grok 4.7

qwen/qwen3-vl-235b-a22b-instruct · x-ai/grok-4.7

As of October 26, 2026, Qwen3 VL 235B A22B is the cheaper API on UberLLM: $0.0042 per million input tokens and $0.0380 per million output, versus $0.0400 / $0.1200 for Grok 4.7 — about 70% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with no UberLLM fee added, so the price you see is the price you pay. Choose Qwen3 VL 235B A22B to cut cost; choose Grok 4.7 when context size wins — Grok 4.7 carries the larger context window (500,000 vs 256,000 tokens), which can matter for long-document work.

Qwen3 VL 235B A22B vs Grok 4.7, side by side

SpecQwen3 VL 235B A22BGrok 4.7
Price · input / 1M$0.0042$0.0400
Price · output / 1M$0.0380$0.1200
Context length256,000500,000
Max output tokens8,000450,000
Input modalitiestext, imagetext, image, file
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
Reasoning—Yes
Cheapest sellerUberLLMpyro
% off list98% off98% off

Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 26, 2026.

Qwen3 VL 235B A22B vs Grok 4.7 — FAQ

Is Qwen3 VL 235B A22B or Grok 4.7 cheaper?

Qwen3 VL 235B A22B is cheaper on a blended token mix, by about 70%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.

What's the price difference between Qwen3 VL 235B A22B and Grok 4.7?

Qwen3 VL 235B A22B: $0.0042 in / $0.0380 out per 1M tokens. Grok 4.7: $0.0400 in / $0.1200 out per 1M tokens. That's roughly a 70% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Qwen3 VL 235B A22B and Grok 4.7 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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