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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 2026-05-11 · Source: allenai_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Olmo 3.1 32B Instruct is a large-scale, 32-billion-parameter instruction-tuned language model engineered for high-performance conversational AI, multi-turn dialogue, and practical instruction following. As part of the...
olmo-3.1-32b-instruct is a Text model from Allenai (US). HotON.ai tracks it at $0.20 per 1M input tokens and $0.60 per 1M output tokens, with a 66K-token context window. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
olmo-3.1-32b-instruct is tracked at $0.20 per 1M input tokens and $0.60 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.50 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.
olmo-3.1-32b-instruct supports up to a 66K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, olmo-3.1-32b-instruct is cheaper than 63% of models on input price and ranks #142 of 537 by overall efficiency.
Yes — deepseek/deepseek-v4-flash is a lower-cost option at $0.28 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 — olmo-3.1-32b-instruct (Allenai): $0.20/1M input, $0.60/1M output, as of 2026-05-11. https://hoton.ai/en/models/allenai-olmo-3-1-32b-instructPricing 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.