Reka Core / Flash / Edge
SF / Singapore foundation-model startup founded by ex-DeepMind / Meta / Google researchers (Dani Yogatama, Yi Tay, Qi Liu). Native multimodal models: Reka Core (~67B, frontier candidate), Flash (~21B), Edge (~7B). Apr-2024: claimed Core matched GPT-4 / Gemini Ultra on MMMU. Remains independent (a reported 2025 Snowflake deal did not happen). In 2026 it repositioned as a physical AI research lab (omni and world models, Reka Edge, Reka Cloud) and merged in a Moonvalley research team (2026-06-09).
Active · Verified 2026-10-29 · fresh as of 2026-10-29 · 37 cited facts, 2 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Tier
- T2
- Created
- 2022-07 (Reka founded); 2024-04 (Reka Core launched) vendor fix
- Latest release
- Reka Edge 2603 (2026-03); Rho-1 research preview (2026-10-05) vendor fix
- License
- Reka Flash 3 weights under Apache 2.0; Core proprietary vendor fix
- GitHub
- github.com/reka-ai (limited public repos) vendor fix
- Pricing
- Reka API pay-per-token, per-model rates (e.g. Reka Edge 2603 $0.10 in / $0.10 out per 1M) third-party fix
- Funding
- Independent — Snowflake acquisition talks dropped; raised $110M at ~$1B valuation (2025-07; Nvidia, Snowflake) third-party fix
- Freshness
- 2026-10-29 fix
- Layer
- large-models repo fix
- Licensing
- open-core (estimate) fix
- Protocols
- mcp-server, openai-compatible vendor fix
- Compliance
- soc2-type1, soc2-type2 vendor fix
When to use
Optimised for: multimodal-native (single-model image+text+video understanding); APAC / Snowflake-customer enterprise
Anti-fit: not for users wanting frontier-tier raw benchmark — now lags Claude/GPT/Gemini; Snowflake acquisition uncertainty re. standalone API future
Pros & cons
Pros
Native multimodal training (not late-fusion); strong DeepMind / Google / Meta founding team; Snowflake distribution post-acquisition; Singapore HQ for APAC compliance.
Cons
Lags frontier tier on raw benchmarks post-2024; Snowflake-acquisition integration uncertainty; smaller ecosystem; limited model releases since 2024.
Claims & capabilities
Reka Core matched GPT-4 / Gemini Ultra on MMMU (Apr-2024 vendor claim); native multimodal training (no late-fusion); 128k context; Snowflake acquisition announced May-2025 (~$2B reported)
Technical surface
- API surface
- REST + Python SDK; OpenAI-compatible
- Backend storage
- not applicable — substrate foundation model
- Deployment
- Both (self-hosted + managed cloud) — Reka API (developer.reka.ai, also serves third-party open models); Reka Flash 3 weights on Hugging Face
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- not applicable — substrate foundation model
- MCP
- not applicable — substrate foundation model
- A2A
- not applicable — substrate foundation model
- OpenTelemetry
- not applicable — substrate foundation model
Similar systems
Other foundation models (substrate reference) in the catalog, ranked by inbound references.
- Anthropic Claude (foundation models) T1
Claude family of frontier foundation models — Sonnet 4 (workhorse), Opus 4.5 (frontier capability), Haiku 4.5 (fast/cheap). Frontier model used as substrate by Claude Code, Anthropic Memory tool, Cline, Aider, Continue.dev, Cursor, Goose, and dozens of other catalog entries. Memory in Claude is parametric (in weights) — discrete episodic memory lives outside the model in the Claude Memory tool (see Platform-provider memory section).
- OpenAI GPT family (GPT-5 / GPT-4o / o3 / o4) T1
OpenAI's foundation model family — GPT-5 (2025-08 flagship), GPT-4o (multimodal workhorse), o3/o4 reasoning series. Substrate for ChatGPT, the OpenAI API, Microsoft Copilot, Azure OpenAI, and many downstream agents in this catalog (Devin, Codex CLI, Operator, Cursor mode). Parametric memory in weights; discrete user memory ships in ChatGPT Memory feature (separate row).
- Google Gemini 3 family T1
Google DeepMind's Gemini 3 frontier model family — Gemini 3 Pro (top tier), 3 Flash (fast), 3 Nano (on-device). Substrate for Google Workspace AI, Vertex AI Agent Platform, Gemini Code Assist, Project Mariner, and Project Astra. Multimodal-native; 1M-10M context window. Largest context window of any frontier model. Used by Gemini Enterprise Agent Platform Memory Bank (separate row).
- Mistral Large 2 / Mixtral family T1
French frontier-model lab (Paris). Family includes Mistral Large 2 (123B dense, Jul-2024), Mixtral 8x22B (open-weights MoE), Mistral Small 3 (24B, open-weights Jan-2025), Codestral (code specialist). EU-headquartered alternative to US/China model labs; GDPR-friendly data residency. Distinct from the Mistral Le Chat memory feature (already in catalog) — this row covers the model family itself as substrate.
- xAI Grok 4 T1
Elon Musk's xAI frontier model — Grok 4 launched 2025-07. Trained on Colossus (100k+ GPU supercluster in Memphis). Deeply integrated with X/Twitter (real-time tweet data access). Grok 4 Heavy variant for premium tier. No frontier-tier open-weights — Grok 1 (314B MoE) is the only weight release. The x.ai site now brands itself SpaceXSI (page title, checked 2026-10-29).
- Cohere Command R+ / Command A T1
Toronto-based foundation-model lab (Aidan Gomez, ex-Google Brain 'Attention Is All You Need' co-author). Command family is enterprise / RAG-optimised: Command A (Mar-2025, 111B dense, 256k ctx), Command R+ (104B MoE), Command R7B (smallest tier). Announced merger with Aleph Alpha April-2026. Open weights via CC-BY-NC (non-commercial); Cohere-hosted for commercial.
Sources (36 cited facts, 2 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Multimodal foundation model family — Reka Core / Flash / Edge vendor
- What it does & what's distinct SF / Singapore foundation-model startup founded by ex-DeepMind / Meta / Google researche… vendor
- Claims / benefits Reka Core matched GPT-4 / Gemini Ultra on MMMU (Apr-2024 vendor claim); native multimoda… vendor
- Modalities text, image, video (native multimodal training) vendor
- Created 2022-07 (Reka founded); 2024-04 (Reka Core launched) vendor
- Latest release Reka Edge 2603 (2026-03); Rho-1 research preview (2026-10-05) vendor
- License Reka Flash 3 weights under Apache 2.0; Core proprietary vendor
- GitHub github.com/reka-ai (limited public repos) vendor
- Mindshare Mid-tier — Snowflake acquisition prominent; strong founder pedigree (Yi Tay 'Efficient T… vendor
- Funding Independent — Snowflake acquisition talks dropped; raised $110M at ~$1B valuation (2025-… third-party
- Customers / scale Snowflake (now parent); Shutterstock; AI Singapore; previously stand-alone API customers vendor
- Pricing Reka API pay-per-token, per-model rates (e.g. Reka Edge 2603 $0.10 in / $0.10 out per 1M) third-party
- Compliance SOC 2 Type II; GDPR; Singapore PDPA vendor
- Data handling Never trains on customer data; Snowflake post-acq inherits Snowflake compliance posture vendor
- Deployment Both (self-hosted + managed cloud) — Reka API (developer.reka.ai, also serves third-part… vendor
- HQ Singapore + San Francisco vendor
- Founders / pedigree Dani Yogatama (CEO; ex-DeepMind), Yi Tay (Chief Scientist; ex-Google Brain), Qi Liu (Chi… vendor
- Performance MMMU (multimodal): Core ~57% (matches GPT-4 / Gemini Ultra at launch Apr-2024); MMLU ~83… vendor
- Code/weights release open weights for Flash 3 only; Core proprietary vendor
- API surface REST + Python SDK; OpenAI-compatible vendor
- LLM lock single-vendor (Reka / Snowflake) vendor
- Runtimes any (HTTP API) vendor
- Validated verticals multimodal data (Shutterstock); enterprise data analytics (Snowflake parent customer bas… vendor
- Time to running <10min via Reka API; via Snowflake Cortex AI post-integration vendor
- Anti-fit not for users wanting frontier-tier raw benchmark — now lags Claude/GPT/Gemini; Snowflak… vendor
- Optimised for multimodal-native (single-model image+text+video understanding); APAC / Snowflake-custom… vendor
- Adjacent infrastructure Snowflake Cortex AI (parent post-acq); HuggingFace (Flash 3); Together AI hosting vendor
- Pros Native multimodal training (not late-fusion); strong DeepMind / Google / Meta founding t… vendor
- Cons Lags frontier tier on raw benchmarks post-2024; Snowflake-acquisition integration uncert… vendor
- Project & sources www.reka.ai/ vendor
- architecture-deployment-locus hybrid vendor
- positioning-platform-vs-product platform vendor
- taxonomy-three-layer-rollup large-models repo
- compliance-certifications soc2-type1,soc2-type2 vendor
- sdk-languages rest vendor
- protocol-support mcp-server,openai-compatible vendor
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
- 2026-10-26
- Latest release “Reka Flash 3 (2025); Reka Core (2024-04)” → “Reka Edge 2603 (2026-03); Rho-1 research preview (2026-10-05)” source
- Pricing “Reka API pay-per-token (~$3/$10 per 1M Core); post-Snowflake-acq: bundled into Snowflake Cortex AI” → “Reka API pay-per-token, per-model rates (e.g. Reka Edge 2603 $0.10 in / $0.10 out per 1M)” source
- Funding / ownership “$103M total raised (Series B June-2023 led by DST Global + Snowflake Ventures); Snowflake acquisition reported May-2025 (~$2B)” → “Independent — Snowflake acquisition talks dropped; raised $110M at ~$1B valuation (2025-07; Nvidia, Snowflake)” source
- Deployment “Managed cloud (Reka API) + Snowflake Cortex AI post-acquisition; some weights via HuggingFace (Reka Flash 3)” → “Both (self-hosted + managed cloud) — Reka API (developer.reka.ai, also serves third-party open models); Reka Flash 3 weights on Hugging Face” source
Related systems
Referenced by (4)
- LiteLLM integrates with — LiteLLM docs have a Reka provider page. (verified 2026-10-29)
- LlamaIndex (framework) integrates with — LlamaIndex has an official LLM integration package llama-index-llms-reka in its repo. (verified 2026-10-29)
- OpenRouter integrates with — OpenRouter lists Reka as an inference provider (providers API slug "reka"). (verified 2026-10-29)
- Portkey AI integrates with — Portkey docs have a Reka AI LLM provider integration page. (verified 2026-10-29)