Capabilities
7-day heat trend
−25.4%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 95% of tracked models
- Efficiency rank: #800 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About black-forest-labs/flux-kontext-pro
FLUX Kontext Pro on Replicate is an official image editing and generation model with stable owner/name API routing.
black-forest-labs/flux-kontext-pro is a Text model from Replicate (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 1K-token context window, ~171 tokens/sec throughput and 96.4% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare black-forest-labs/flux-kontext-pro
Related market news
Frequently asked questions
How much does black-forest-labs/flux-kontext-pro cost per 1M tokens?+
black-forest-labs/flux-kontext-pro is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is black-forest-labs/flux-kontext-pro best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is black-forest-labs/flux-kontext-pro?+
black-forest-labs/flux-kontext-pro delivers about 171 tokens/sec with 96.4% tracked availability, suitable for latency-sensitive, real-time applications.
Is black-forest-labs/flux-kontext-pro cheaper than other AI models?+
Within the HotON.ai tracked set, black-forest-labs/flux-kontext-pro is cheaper than 43% of models on input price and ranks #800 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.