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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 2026-05-10 · Source: together_official_pricing
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Llama 3.3 70B Instruct Turbo on Together is a widely used open model for chat and tool workflows.
meta-llama/Llama-3.3-70B-Instruct-Turbo is a Text model from Together AI (US). HotON.ai tracks it at $0.88 per 1M input tokens and $0.88 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.002 per successful task.
meta-llama/Llama-3.3-70B-Instruct-Turbo is tracked at $0.88 per 1M input tokens and $0.88 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.88 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.
meta-llama/Llama-3.3-70B-Instruct-Turbo 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, meta-llama/Llama-3.3-70B-Instruct-Turbo is cheaper than 32% of models on input price and ranks #231 of 537 by overall efficiency.
Yes — minimax-m2 is a lower-cost option at $1.00 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 — meta-llama/Llama-3.3-70B-Instruct-Turbo (Together AI): $0.88/1M input, $0.88/1M output, as of 2026-05-10. https://hoton.ai/en/models/together-meta-llama-llama-3-3-70b-instruct-turboPricing 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.