Claude Sonnet 5 vs Qwen3 VL 235B A22B

anthropic/claude-sonnet-5 · qwen/qwen3-vl-235b-a22b-instruct

As of October 25, 2026, Qwen3 VL 235B A22B is the cheaper API on UberLLM: $0.0042 per million input tokens and $0.0380 per million output, versus $0.1600 / $0.8000 for Claude Sonnet 5 — about 95% 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 Claude Sonnet 5 when context size wins — Claude Sonnet 5 carries the larger context window (1,000,000 vs 256,000 tokens), which can matter for long-document work.

Claude Sonnet 5 vs Qwen3 VL 235B A22B, side by side

SpecClaude Sonnet 5Qwen3 VL 235B A22B
Price · input / 1M$0.1600$0.0042
Price · output / 1M$0.8000$0.0380
Context length1,000,000256,000
Max output tokens64,0008,000
Input modalitiestexttext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)—Yes
ReasoningYes—
Cheapest sellerUberLLMUberLLM
% off list92% off98% off

Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 25, 2026.

Claude Sonnet 5 vs Qwen3 VL 235B A22B — FAQ

Is Claude Sonnet 5 or Qwen3 VL 235B A22B cheaper?

Qwen3 VL 235B A22B is cheaper on a blended token mix, by about 95%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.

What's the price difference between Claude Sonnet 5 and Qwen3 VL 235B A22B?

Claude Sonnet 5: $0.1600 in / $0.8000 out per 1M tokens. Qwen3 VL 235B A22B: $0.0042 in / $0.0380 out per 1M tokens. That's roughly a 95% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Claude Sonnet 5 and Qwen3 VL 235B A22B 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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