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⚡ Run with API

Reka Flash 3 is a general-purpose, instruction-tuned 21B model from Reka, good at general chat, coding, instruction following and function calling.

Pricing: Input 24 credits / 1M tokens (≈ $0.12), Output 48 credits / 1M tokens (≈ $0.24).

Prices updated

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This demo page does not include the full memory features of the client. For the complete experience, please use the client or the CLI.

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Complete guide to using Reka Flash 3

Reka Flash 3 API on ModelFold

Reka Flash 3 is a general-purpose, instruction-tuned 21B model from Reka, good at general chat, coding, instruction following and function calling. Try Reka Flash 3 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.

What Is the Reka Flash 3 API

Reka Flash 3 at a glance

Reka Flash 3 is a chat model from Reka AI. It accepts text as input and returns text, with a context window of up to 66K tokens.

Use it without hosting anything

On ModelFold you call Reka Flash 3 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.

Core Capabilities of Reka Flash 3

Up to 66K tokens of context

Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.

Reasoning mode

Reka Flash 3 can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.

Structured outputs

Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.

How to Use Reka Flash 3 on ModelFold

  1. 1

    Step 1: Try it in the Playground

    Open the Playground at the top of this page, type a prompt and see how Reka Flash 3 responds before writing any code.

  2. 2

    Step 2: Create an API key

    Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.

  3. 3

    Step 3: Send a request

    Call POST https://modelfold.ai/v1/chat/completions with "model": "reka-flash-3" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.

  4. ✓

    Step 4: Ship and monitor

    Integrate the response into your product and check token usage and spend for every call in the console logs.

What You Can Build with Reka Flash 3

Writing and content

Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.

AI coding assistants

Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.

Analysis and complex reasoning

Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.

High-volume pipelines

Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.

Frequently Asked Questions

What is Reka Flash 3?⌄

Reka Flash 3 is a general-purpose, instruction-tuned 21B model from Reka, good at general chat, coding, instruction following and function calling.

Which inputs does Reka Flash 3 support?⌄

Reka Flash 3 accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.

How long is the context window of Reka Flash 3?⌄

Up to 66K tokens, shared between your input and the model’s output.

Does Reka Flash 3 support function calling?⌄

Function calling is not listed for Reka Flash 3; requests that include tools will be rejected. Use plain prompts or JSON output instead.

How is Reka Flash 3 billed on ModelFold?⌄

Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.

How do I call Reka Flash 3 through the API?⌄

Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "reka-flash-3", using your ModelFold API key as the Bearer token.

Rate card
Input24 credits 1M tokens≈ $0.12
Output48 credits 1M tokens≈ $0.24

Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.

Read API docs →AI Agents · Claude Code / Cursor / Trae →
Quick start
POST/v1/chat/completions
curl https://modelfold.ai/v1/chat/completions \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"reka-flash-3","messages":[{"role":"user","content":"Hello"}]}'