Claude Haiku 4.5 vs Gemma 4 31B IT
anthropic/claude-haiku-4.5 · google/gemma-4-31b-it
As of October 24, 2026, Gemma 4 31B IT is the cheaper API on UberLLM: $0.0367 per million input tokens and $0.1101 per million output, versus $0.7799 / $3.90 for Claude Haiku 4.5 — about 97% 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 Gemma 4 31B IT to cut cost; choose Claude Haiku 4.5 when its capabilities fit your task better.
Claude Haiku 4.5 vs Gemma 4 31B IT, side by side
| Spec | Claude Haiku 4.5 | Gemma 4 31B IT |
|---|---|---|
| Price · input / 1M | $0.7799 | $0.0367 |
| Price · output / 1M | $3.90 | $0.1101 |
| Context length | 200,000 | 262,144 |
| Max output tokens | 32,000 | 131,072 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | Yes | — |
| Cheapest seller | UberLLM | UberLLM |
| % off list | 22% off | 69% 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 Gemma 4 31B IT — FAQ
Is Claude Haiku 4.5 or Gemma 4 31B IT cheaper?
Gemma 4 31B IT is cheaper on a blended token mix, by about 97%. 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 Gemma 4 31B IT?
Claude Haiku 4.5: $0.7799 in / $3.90 out per 1M tokens. Gemma 4 31B IT: $0.0367 in / $0.1101 out per 1M tokens. That's roughly a 97% blended difference. Prices are live and include UberLLM's 10% fee.
Can I use both Claude Haiku 4.5 and Gemma 4 31B IT 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.