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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: rekaai_reference_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading performance in...
reka-edge is a Multimodal model from Rekaai (US). HotON.ai tracks it at $0.10 per 1M input tokens and $0.10 per 1M output tokens, with a 16K-token context window. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
reka-edge is tracked at $0.10 per 1M input tokens and $0.10 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.10 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
reka-edge supports up to a 16K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, reka-edge is cheaper than 79% of models on input price and ranks #318 of 537 by overall efficiency.
Yes — gemma-3-12b-it is a lower-cost option at $0.13 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — reka-edge (Rekaai): $0.10/1M input, $0.10/1M output, as of 2026-05-11. https://hoton.ai/en/models/rekaai-reka-edgePricing 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.