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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 fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <c...
morph-v3-fast is a Text model from Morph (US). HotON.ai tracks it at $0.80 per 1M input tokens and $1.20 per 1M output tokens, with a 82K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
morph-v3-fast is tracked at $0.80 per 1M input tokens and $1.20 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.10 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-fast supports up to a 82K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, morph-v3-fast is cheaper than 35% of models on input price and ranks #362 of 535 by overall efficiency.
Yes — minimax-m2.7 is a lower-cost option at $1.20 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-fast (Morph): $0.80/1M input, $1.20/1M output, as of 2026-05-11. https://hoton.ai/en/models/morph-morph-v3-fastPricing 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.