Reka

Name: Reka
Brand: Reka

AI NativeLeader

Reka is an AI research and product company that develops models to benefit humanity, organizations, and enterprises.

Est 2022|Valuation $1B|Raised $167.4M|19 Ref Customers

LinkedIn 10K|Web traffic 566K|FTEs 50|HQ Sunnyvale, California, US

MarketsFoundation Models

01Competitive Landscape

Narrative analysis

Reka vs Gemini: Google may be cost-efficient on tokens and benefits from integration with its services. Reka differentiates by offering deploy-anywhere options and by publishing open-source research components.
Reka vs OpenAI: OpenAI has broader ecosystem adoption and a larger set of third-party integrations. Reka competes by providing smaller deployable models and transparent modality pricing that may be preferable for certain video-heavy workflows.
Reka vs Anthropic Claude: Anthropic's positioning centers on text reasoning and safety-focused features; Reka's emphasis is on multimodal capability and deployment flexibility.

- Reka vs Gemini: Google may be cost-efficient on tokens and benefits from integration with its services. Reka differentiates by offering deploy-anywhere options and by publishing open-source research components. - Reka vs OpenAI: OpenAI has broader ecosystem adoption and a larger set of third-party integrations. Reka competes by providing smaller deployable models and transparent modality pricing that may be preferable for certain video-heavy workflows. - Reka vs Anthropic Claude: Anthropic's positioning centers on text reasoning and safety-focused features; Reka's emphasis is on multimodal capability and deployment flexibility.

	Reka	Google Gemini API	OpenAI API
Starting Price	Tiered token + modality pricing across Spark/Flash/Core (low → high)	Tiered token pricing with developer and production tiers	Tiered token pricing with multiple model classes and performance tiers
Best For	Multimodal workloads (including video/audio) and deploy-anywhere deployment options; teams seeking open-source artifacts	Teams invested in Google ecosystem; multimodal capabilities with Google service integrations	Broad ecosystem and third-party tooling; many modalities and enterprise features
Key Strength	Published multimodal pricing and availability of open-source models/tools; local/on-device deployment options via quantized releases	Cost-effective token options on some tiers and deep integration with Google services	Platform breadth, tooling, and market adoption; extensive model menu
Key Weakness	Limited third-party review footprint; enterprise security and compliance documentation are less visible in public materials	Product/data-usage policies and product-improvement terms vary by tier; platform complexity across Google surfaces	Can be more expensive at the frontier end; governance and vendor lock-in considerations for some buyers