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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: morph_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</...
morph-v3-large is a Text model from Morph (US). HotON.ai tracks it at $0.90 per 1M input tokens and $1.90 per 1M output tokens, with a 262K-token context window. Its composite efficiency score is 89/100 at an estimated $0.003 per successful task.
morph-v3-large is tracked at $0.90 per 1M input tokens and $1.90 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.65 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.
morph-v3-large supports up to a 262K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, morph-v3-large is cheaper than 32% of models on input price and ranks #147 of 535 by overall efficiency.
Yes — minimax-m2.1 is a lower-cost option at $0.95 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 — morph-v3-large (Morph): $0.90/1M input, $1.90/1M output, as of 2026-05-11. https://hoton.ai/en/models/morph-morph-v3-largePricing 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.