Claude Haiku 5.5 vs Qwen 3.8 Max
anthropic/claude-haiku-5.5 · qwen/qwen-3-8-max
As of November 3, 2026, Claude Haiku 5.5 is the cheaper API on UberLLM: $0.0086 per million input tokens and $0.0430 per million output, versus $0.1212 / $0.3638 for Qwen 3.8 Max, about 89% 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 Claude Haiku 5.5 to cut cost; choose Qwen 3.8 Max when its capabilities fit your task better.
Claude Haiku 5.5 vs Qwen 3.8 Max, side by side
| Spec | Claude Haiku 5.5 | Qwen 3.8 Max |
|---|---|---|
| Price · input / 1M | $0.0086 | $0.1212 |
| Price · output / 1M | $0.0430 | $0.3638 |
| Context length | 1,000,000 | 1,000,000 |
| Max output tokens | 128,000 | 131,072 |
| Input modalities | text, image, file | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | Yes |
| % off list | 91.4% off | 95.2% 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 5.5 vs Qwen 3.8 Max — FAQ
Is Claude Haiku 5.5 or Qwen 3.8 Max cheaper?
Claude Haiku 5.5 is cheaper on a blended token mix, by about 89%. 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 5.5 and Qwen 3.8 Max?
Claude Haiku 5.5: $0.0086 in / $0.0430 out per 1M tokens. Qwen 3.8 Max: $0.1212 in / $0.3638 out per 1M tokens. That's roughly a 89% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Claude Haiku 5.5 and Qwen 3.8 Max 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.