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Reka Flash 3.1 is an update to our Reka Flash 3. It is particularly strong on coding and as a base model to be finetuned on agentic tasks.
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Reka Flash 3.1 was post trained with synthetic and public datasets for supervised finetuning, followed by large-scale reinforcement learning (RLOO) with verifiable rewards. It improves by 10 points on LiveCodeBench v5 (Full set) from Reka Flash 3 due to significant advances in our reinforcement learning stack. For coding related tasks, Reka Flash 3.1 is competitive with models such as Qwen3-32B. o3-mini, and Gemini 2.5 Flash Thinking.
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If you want to learn more about how we do RL for Reka Flash 3.1 that results in these improvements, please check out this post.
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Try it out at our
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We also release a
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## Quickstart
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Reka Flash 3.1 is an update to our Reka Flash 3. It is particularly strong on coding and as a base model to be finetuned on agentic tasks.
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Reka Flash 3.1 was post trained with synthetic and public datasets for supervised finetuning, followed by large-scale reinforcement learning (RLOO) with verifiable rewards. It improves by 10 points on LiveCodeBench v5 (Full set) from Reka Flash 3 due to significant advances in our reinforcement learning stack. For coding related tasks, Reka Flash 3.1 is competitive with models such as Qwen3-32B. o3-mini, and Gemini 2.5 Flash Thinking.
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If you want to learn more about how we do RL for Reka Flash 3.1 that results in these improvements, please check out this post.
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Try it out at our [playground](https://app.reka.ai).
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We also release a [3.5 bit quantized version](https://huggingface.co/RekaAI/reka-flash-3.1-rekaquant-q3_k_s) of Reka Flash 3.1 and [our quantization library](https://github.com/reka-ai/rekaquant) to better support local deployment.
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## Quickstart
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