Claude Haiku 4.5 vs Qwen 3.8 27B
anthropic/claude-haiku-4.5 · qwen/qwen-3-8-27b
As of November 3, 2026, Qwen 3.8 27B is the cheaper API on UberLLM: $0.0002 per million input tokens and $0.0025 per million output, versus $0.0553 / $0.2767 for Claude Haiku 4.5, about 99% 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 Qwen 3.8 27B to cut cost; choose Claude Haiku 4.5 when its capabilities fit your task better.
Claude Haiku 4.5 vs Qwen 3.8 27B, side by side
| Spec | Claude Haiku 4.5 | Qwen 3.8 27B |
|---|---|---|
| Price · input / 1M | $0.0553 | $0.0002 |
| Price · output / 1M | $0.2767 | $0.0025 |
| Context length | 200,000 | 262,144 |
| Max output tokens | 64,000 | 65,536 |
| Input modalities | text, image | text, image, video |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 94.5% off | 99.9% 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 Qwen 3.8 27B — FAQ
Is Claude Haiku 4.5 or Qwen 3.8 27B cheaper?
Qwen 3.8 27B is cheaper on a blended token mix, by about 99%. 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 Qwen 3.8 27B?
Claude Haiku 4.5: $0.0553 in / $0.2767 out per 1M tokens. Qwen 3.8 27B: $0.0002 in / $0.0025 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Claude Haiku 4.5 and Qwen 3.8 27B 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.