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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-04-28 · Source: legacy_model_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, L...
gpt-oss-safeguard-20b is a Text model from OpenAI (US). HotON.ai tracks it at $0.08 per 1M input tokens and $0.30 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
gpt-oss-safeguard-20b is tracked at $0.08 per 1M input tokens and $0.30 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.24 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
gpt-oss-safeguard-20b supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gpt-oss-safeguard-20b is cheaper than 85% of models on input price and ranks #236 of 535 by overall efficiency.
Yes — ling-2.6-flash is a lower-cost option at $0.24 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — gpt-oss-safeguard-20b (OpenAI): $0.08/1M input, $0.30/1M output, as of 2026-04-28. https://hoton.ai/en/models/openai-gpt-oss-safeguard-20bPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.