Claude Haiku 4.5 vs DeepSeek V4 Flash
anthropic/claude-haiku-4.5 · deepseek/deepseek-v4-flash
As of October 24, 2026, DeepSeek V4 Flash is the cheaper API on UberLLM: $0.0653 per million input tokens and $0.1305 per million output, versus $0.7799 / $3.90 for Claude Haiku 4.5 — about 96% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with UberLLM's 10% fee already included, so the price you see is the price you pay. Choose DeepSeek V4 Flash to cut cost; choose Claude Haiku 4.5 when its capabilities fit your task better.
Claude Haiku 4.5 vs DeepSeek V4 Flash, side by side
| Spec | Claude Haiku 4.5 | DeepSeek V4 Flash |
|---|---|---|
| Price · input / 1M | $0.7799 | $0.0653 |
| Price · output / 1M | $3.90 | $0.1305 |
| Context length | 200,000 | 1,048,576 |
| Max output tokens | 32,000 | 65,536 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| Cheapest seller | UberLLM | UberLLM |
| % off list | 22% off | 28% off |
Live prices via UberLLM, routed to the cheapest healthy seller. The price shown includes UberLLM’s 10% fee. Updated October 24, 2026.
Claude Haiku 4.5 vs DeepSeek V4 Flash — FAQ
Is Claude Haiku 4.5 or DeepSeek V4 Flash cheaper?
DeepSeek V4 Flash is cheaper on a blended token mix, by about 96%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with its 10% fee included.
What's the price difference between Claude Haiku 4.5 and DeepSeek V4 Flash?
Claude Haiku 4.5: $0.7799 in / $3.90 out per 1M tokens. DeepSeek V4 Flash: $0.0653 in / $0.1305 out per 1M tokens. That's roughly a 96% blended difference. Prices are live and include UberLLM's 10% fee.
Can I use both Claude Haiku 4.5 and DeepSeek V4 Flash 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.