Data story · provider

Reka AI: model lineup and pricing overview

Reka AI model lineup with prices, context windows and average benchmark scores. Multimodal AI company behind Reka Core and Flash.

What the data shows

Reka AI has 14 models in the index. The average input price is $10.01 and the average output price is $46.74 per million tokens.

The strongest model by average score is reka-core-pro. The cheapest by input price is Reka Flash Nano.

How to read the lineup

  • Start with the best model for quality-sensitive work.
  • Use the cheapest model for high-volume tasks.
  • Check open-weight availability if self-hosting matters.
  • Keep a second provider for fallback.

Reka AI models

#ModelInput / 1MOutput / 1MContextAvg score
1Reka Core Pro$13.44$69.3865,53679.9
2Reka Core Max$13.41$61.73128,00079.3
3Reka Core Reasoning$13.11$61.5532,76878.5
4Reka Core Turbo$12.58$60.4232,76878.4
5Reka Core$12.17$55.7732,76877.4
6Reka Flash Max$11.17$48.1832,76875.9
7Reka Flash Reasoning$10.70$57.4532,76875.6
8Reka Flash Pro$10.82$52.20200,00075.2
9Reka Flash Turbo$10.19$50.90128,00075.1
10Reka Flash$9.95$36.78128,00074.1
11Reka Core Mini$7.48$30.508,19270.1
12Reka Flash Mini$5.77$27.6416,38465.5
13Reka Core Nano$5.45$25.2516,38465.1
14Reka Flash Nano$3.93$16.5716,38461.0

Methodology

This story uses the AI & LLM Index dataset: 600 models, 40 providers and 12 benchmarks. Prices are listed per million tokens. Scores are modelled estimates on a 0–100 scale and are not official benchmark results. Figures are rounded for readability.

Related

FAQ

What does the Reka AI: model lineup and pricing overview data show?

Reka AI model lineup with prices, context windows and average benchmark scores. Multimodal AI company behind Reka Core and Flash.

Are the numbers official?

No. Prices and scores are compiled for this demo index. Benchmark values are modelled estimates, not official results. Verify figures with the provider or benchmark owner before making decisions.

How should I use this ranking?

Use it to form a shortlist. Check the specific model pages, compare price and context, and test the shortlist on your own examples before committing.