Cerebras Gemma 4 31B: The Speed Premium
Verdict
Cerebras Gemma 4 31B is a latency product, not a budget inference product. At
$0.99/M input + $1.49/M output, it costs about
6× other Gemma hosts but generates roughly
10–27× faster.
| 10k input + 2k output | Cost | Relative to Cerebras |
|---|
| GPT-5.6 Luna | $0.0044 | 66% cheaper |
| Cerebras Gemma 4 31B | $0.01288 | — |
| Claude Haiku 4.5 | $0.0200 | 55% more |
| Claude Sonnet 5 / GPT-5.6 Terra | $0.040–0.044 | 3.1–3.4× |
| GPT-5.6 Sol / Claude Opus 5 | $0.080–0.100 | 6.2–7.8× |
Same-model alternatives: DeepInfra, Friendli, and SiliconFlow cost about
$0.0021/request; Cerebras adds roughly
1.08¢ per request (
$10.82/1k; $10,820/1M).
What the premium buys: about
1,535 generated tok/s measured by Artificial Analysis (Cerebras reports ~1,851), versus
57–157 tok/s elsewhere.
Choose Cerebras for: human-facing, latency-sensitive experiences.
Avoid it for: bulk extraction, evals, document processing, and other async jobs.
Competitive read: Luna is cheaper and generally stronger but far slower; Haiku is the cleanest Cerebras win—similar input price, 70% cheaper output, comparable broad benchmark class, and much faster.
Caveats: public-preview/production availability; shorter context than some Gemma hosts (~131k vs ~256–262k); tokenizers and prompt caching can materially change cross-vendor economics. Optimize for
cost per successful task, not token price alone.