Reka Flash 3 • LLM
Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a...
Context Window
66K tokens
Input Price/1M
$0.20
Output Price/1M
$0.80
Parameters
—
Speed
86 tok/s
Latency (TTFT)
1.7s
Max Output
66K tokens
Reka Flash 3 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 0.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 44.0 | 100.0 | Artificial Analysis official API |
| SciCode | 27.0 | 100.0 | — |
| AA Coding Index | 8.9 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 67.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 0.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 52.9 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 34.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 33.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 6.3 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 66.9 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 53.0 | 100.0 | Artificial Analysis official API |
| IFBench | 30.0 | 100.0 | — |
| HLE | 5.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 0.0 | 100.0 | — |
Reka Flash 3 is an AI model developed by Reka Flash 3, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 66K tokens, it is suitable for processing medium-sized documents like articles, reports, and code sections.
Reka Flash 3 is usage-based, priced at $0.2/1M input tokens and $0.8/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Reka Flash 3 was evaluated on 15 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Reka Flash 3 is suitable for a wide range of AI applications: high-volume chatbots and automated support, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Reka Flash 3 competes directly with similarly capable models. Reka Flash 3 competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a...
Reka Flash 3 costs $0.2/1M input tokens and $0.8/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Reka Flash 3 scored: Terminal-Bench Hard: 0/100, LiveCodeBench: 44/100, SciCode: 27/100. See the full table above for a detailed comparison.
Yes, Reka Flash 3 is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
Reka Flash 3 excels at complex reasoning and problem solving.
Last updated: June 22, 2026 • View methodology →