Claude Haiku 5.5 vs DeepSeek V3.1
anthropic/claude-haiku-5.5 · deepseek/deepseek-v3.1
As of November 8, 2026, DeepSeek V3.1 is the cheaper API on UberLLM: $0.0025 per million input tokens and $0.0094 per million output, versus $0.0088 / $0.0441 for Claude Haiku 5.5, about 78% 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 DeepSeek V3.1 to cut cost; choose Claude Haiku 5.5 when its capabilities fit your task better.
Claude Haiku 5.5 vs DeepSeek V3.1, side by side
| Spec | Claude Haiku 5.5 | DeepSeek V3.1 |
|---|---|---|
| Price · input / 1M | $0.0088 | $0.0025 |
| Price · output / 1M | $0.0441 | $0.0094 |
| Context length | 100,000 | 128,000 |
| Max output tokens | 50,000 | 8,000 |
| Input modalities | text, image, file | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | — |
| % off list | 91.2% off | 99% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 8, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Claude Haiku 5.5 vs DeepSeek V3.1 — FAQ
Is Claude Haiku 5.5 or DeepSeek V3.1 cheaper?
DeepSeek V3.1 is cheaper on a blended token mix, by about 78%. 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 DeepSeek V3.1?
Claude Haiku 5.5: $0.0088 in / $0.0441 out per 1M tokens. DeepSeek V3.1: $0.0025 in / $0.0094 out per 1M tokens. That's roughly a 78% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Claude Haiku 5.5 and DeepSeek V3.1 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.