Capabilities
7-day heat trend
−19.7%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 14% of tracked models
- Faster than 46% of tracked models
- Efficiency rank: #391 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About morph-v3-large
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, ~146 tokens/sec throughput and 96.5% availability. Its composite efficiency score is 89/100 at an estimated $0.003 per successful task.
Compare morph-v3-large
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Frequently asked questions
How much does morph-v3-large cost per 1M tokens?+
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.
What is morph-v3-large best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is morph-v3-large?+
morph-v3-large delivers about 146 tokens/sec with 96.5% tracked availability, suitable for latency-sensitive, real-time applications.
Is morph-v3-large cheaper than other AI models?+
Within the HotON.ai tracked set, morph-v3-large is cheaper than 14% of models on input price and ranks #391 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.