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

Claude Haiku 5.5 vs Qwen3 VL 235B A22B

anthropic/claude-haiku-5.5 · qwen/qwen3-vl-235b-a22b-instruct

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 $0.0750 / $0.3750 for Claude Haiku 5.5 — about 90% 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 Haiku 5.5 when its capabilities fit your task better.

Claude Haiku 5.5 vs Qwen3 VL 235B A22B, side by side

SpecClaude Haiku 5.5Qwen3 VL 235B A22B
Price · input / 1M$0.0750$0.0042
Price · output / 1M$0.3750$0.0380
Context length100,000256,000
Max output tokens128,0008,000
Input modalitiestext, image, filetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYes—
Cheapest sellerUberLLMUberLLM
% off list25% off98% off

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

Claude Haiku 5.5 vs Qwen3 VL 235B A22B — FAQ

Is Claude Haiku 5.5 or Qwen3 VL 235B A22B cheaper?

Qwen3 VL 235B A22B is cheaper on a blended token mix, by about 90%. 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 Haiku 5.5 and Qwen3 VL 235B A22B?

Claude Haiku 5.5: $0.0750 in / $0.3750 out per 1M tokens. Qwen3 VL 235B A22B: $0.0042 in / $0.0380 out per 1M tokens. That's roughly a 90% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Claude Haiku 5.5 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.

More comparisons