Anbieter · 2026-07-28
hyper
| Modell | Eingabe / 1M | Ausgabe / 1M | Kontext | Hoster | Tags |
|---|---|---|---|---|---|
| GPT OSS 120B | $0.178 | $0.680 | 131K | 1 | tools · json · reasoning · open-weights |
| Qwen3-Coder 480B-A35B InstructDerivat | $0.601 | $2.08 | 106K | 1 | tools · open-weights |
| Qwen3.6 Max PreviewDerivat | $2.00 | $12.00 | 256K | 1 | tools |
Frequently asked questions
How many AI models does hyper offer?
We track 1 canonical hyper models plus 2 community fine-tunes / derivatives (excluded from the main table). The list is recomputed daily.
Which hyper model is the cheapest?
GPT OSS 120B is currently the lowest-priced hyper model, at $0.178 per 1M input tokens and $0.680 per 1M output tokens. For the full apples-to-apples list, see /pricing/cheapest-llm-api.
Which hyper model has the largest context window?
GPT OSS 120B leads at 131K tokens. This is the total of prompt + completion.
Which hyper models support tool calling?
Multiple hyper models support tool calling, with GPT OSS 120B being a popular pick. The capability column in the table above marks every model with hyper tool-calling support.
What are the best alternatives to hyper?
Depends on the use case. For raw cost savings, look at /pricing/cheapest-llm-api. For agent-oriented workloads, /best/best-ai-model-for-agents. For long-document workflows, /best/best-long-context-llm.
How fresh is this hyper pricing data?
Daily. Our pipeline syncs every morning and rebuilds these pages on data change, so list-price moves and new model releases land within roughly 24 hours.
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Zuletzt aktualisiert:
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.