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

Claude Haiku 4.5 vs Qwen3 Coder Next

anthropic/claude-haiku-4.5 · qwen/qwen3-coder-next

As of November 3, 2026, Qwen3 Coder Next is the cheaper API on UberLLM: $0.0012 per million input tokens and $0.0079 per million output, versus $0.0553 / $0.2767 for Claude Haiku 4.5, about 97% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Qwen3 Coder Next to cut cost; choose Claude Haiku 4.5 when its capabilities fit your task better.

Claude Haiku 4.5 vs Qwen3 Coder Next, side by side

SpecClaude Haiku 4.5Qwen3 Coder Next
Price · input / 1M$0.0553$0.0012
Price · output / 1M$0.2767$0.0079
Context length200,000256,000
Max output tokens64,00016,000
Input modalitiestext, imagetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
ReasoningYes—
% off list94.5% off99% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 3, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Claude Haiku 4.5 vs Qwen3 Coder Next — FAQ

Is Claude Haiku 4.5 or Qwen3 Coder Next cheaper?

Qwen3 Coder Next is cheaper on a blended token mix, by about 97%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.

What's the price difference between Claude Haiku 4.5 and Qwen3 Coder Next?

Claude Haiku 4.5: $0.0553 in / $0.2767 out per 1M tokens. Qwen3 Coder Next: $0.0012 in / $0.0079 out per 1M tokens. That's roughly a 97% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Claude Haiku 4.5 and Qwen3 Coder Next 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