{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"openrouter-rekaai-reka-flash-3","slug":"rekaai-reka-flash-3","name":"Reka Flash 3","type":"model","url":"https://openrouter.ai/models/rekaai~reka-flash-3","page_url":"https://unfragile.ai/rekaai-reka-flash-3","categories":["llm-apis"],"tags":["rekaai","api-access","text"],"pricing":{"model":"paid","free":false,"starting_price":"$1.00e-7 per prompt token"},"status":"active","verified":false},"capabilities":[{"id":"openrouter-rekaai-reka-flash-3__cap_0","uri":"capability://text.generation.language.instruction.following.chat.completion.with.context.awareness","name":"instruction-following chat completion with context awareness","description":"Reka Flash 3 processes multi-turn conversational inputs and generates contextually appropriate responses using a 21B parameter instruction-tuned transformer architecture. The model maintains conversation history through context windowing and applies instruction-following fine-tuning to adhere to user directives, system prompts, and role-based constraints without explicit prompt engineering overhead.","intents":["Build a conversational AI assistant that understands and follows complex user instructions across multiple turns","Deploy a chatbot that maintains conversation context and adapts tone/style based on system prompts","Create a general-purpose dialogue system that handles open-ended questions without task-specific training"],"best_for":["Teams building general-purpose chatbots and conversational agents","Developers prototyping multi-turn dialogue systems with minimal fine-tuning","Startups needing cost-effective instruction-following without enterprise model pricing"],"limitations":["Context window size not explicitly specified — may truncate very long conversation histories","No built-in memory persistence across sessions — requires external state management for persistent conversations","Instruction-following quality degrades with adversarial or out-of-distribution prompts compared to larger models like GPT-4"],"requires":["API key for OpenRouter or direct Reka API access","HTTP client library (curl, Python requests, JavaScript fetch, etc.)","Network connectivity to Reka/OpenRouter inference endpoints"],"input_types":["text (natural language queries, instructions, system prompts)","multi-turn conversation history (array of message objects with role and content)"],"output_types":["text (natural language response)","structured text (JSON, markdown, code blocks when prompted)"],"categories":["text-generation-language","conversational-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-rekaai-reka-flash-3__cap_1","uri":"capability://code.generation.editing.code.generation.and.completion.with.multi.language.support","name":"code generation and completion with multi-language support","description":"Reka Flash 3 generates syntactically correct code snippets and complete functions across multiple programming languages using transformer-based code understanding trained on diverse codebases. The model accepts natural language descriptions, partial code, or function signatures and outputs executable code with proper indentation, imports, and error handling patterns learned during pre-training.","intents":["Generate boilerplate code and utility functions from natural language descriptions","Complete partial code implementations with context-aware suggestions","Translate code between programming languages or refactor existing implementations","Generate test cases and example usage for documented functions"],"best_for":["Solo developers and small teams accelerating routine coding tasks","Developers working across multiple languages who need quick syntax assistance","Educational contexts where students need code generation examples"],"limitations":["No real-time compilation or syntax validation — generated code may contain subtle bugs in complex algorithms","Limited context awareness of project-specific libraries or custom frameworks not in training data","Performance degrades on domain-specific languages (DSLs) or proprietary syntax not well-represented in training corpus","No built-in code execution environment — requires external testing/validation"],"requires":["API key for OpenRouter or Reka","Programming language knowledge to validate and test generated code","Development environment with appropriate language runtime/compiler"],"input_types":["text (natural language code descriptions)","code (partial implementations, function signatures, code snippets)","structured prompts (e.g., 'Write a Python function that...')"],"output_types":["code (complete functions, classes, scripts)","text (explanations of generated code)","structured code (JSON, YAML, configuration files)"],"categories":["code-generation-editing","developer-productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-rekaai-reka-flash-3__cap_2","uri":"capability://tool.use.integration.function.calling.with.schema.based.argument.binding","name":"function calling with schema-based argument binding","description":"Reka Flash 3 supports structured function calling by accepting JSON schemas that define available functions, parameters, and return types, then generating properly formatted function calls with bound arguments extracted from user intent. The model parses user requests, maps them to appropriate functions, and outputs structured JSON containing function name, arguments, and metadata without requiring manual prompt engineering for each function.","intents":["Enable LLM agents to invoke external APIs and tools by parsing natural language requests into structured function calls","Build autonomous workflows where the model decides which functions to call based on user goals","Create multi-step task execution pipelines where function outputs feed into subsequent function calls"],"best_for":["Developers building LLM-powered agents and autonomous systems","Teams implementing tool-use patterns for AI assistants","Builders creating AI workflows that orchestrate multiple external services"],"limitations":["Function calling accuracy depends on schema clarity — ambiguous or poorly documented schemas lead to incorrect argument binding","No built-in error handling or retry logic when function calls fail — requires external orchestration layer","Limited to JSON schema format — cannot directly invoke functions in other serialization formats","No transaction semantics — failed function calls don't automatically rollback previous state"],"requires":["API key for OpenRouter or Reka","JSON schema definitions for all available functions","Function execution environment (external API endpoints, local functions, etc.)","Orchestration layer to handle function invocation and result processing"],"input_types":["text (natural language requests describing desired function calls)","JSON (function schema definitions with parameter types and descriptions)","structured prompts (system instructions defining available tools)"],"output_types":["JSON (structured function calls with function name and arguments)","text (explanations of function call decisions)"],"categories":["tool-use-integration","agent-orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-rekaai-reka-flash-3__cap_3","uri":"capability://text.generation.language.general.knowledge.question.answering.with.factual.grounding","name":"general knowledge question answering with factual grounding","description":"Reka Flash 3 answers factual questions across diverse domains (science, history, current events, technical topics) by retrieving relevant knowledge from its training data and synthesizing coherent responses. The model applies instruction-tuning to distinguish between confident answers and uncertain knowledge, enabling it to express confidence levels and acknowledge knowledge cutoffs without hallucinating unsupported claims.","intents":["Build knowledge-based chatbots that answer user questions without external search","Create educational assistants that explain concepts and provide factual information","Implement Q&A systems for internal knowledge bases or documentation"],"best_for":["Teams building knowledge-based assistants for general domains","Educational platforms needing factual Q&A without real-time search","Customer support systems handling common knowledge-based questions"],"limitations":["Knowledge cutoff date not specified — may provide outdated information for rapidly evolving topics (current events, technology releases, stock prices)","No real-time fact-checking or source attribution — answers cannot be verified against authoritative sources","Prone to hallucination on obscure or niche topics not well-represented in training data","Cannot distinguish between common misconceptions and factual information if both appear in training data"],"requires":["API key for OpenRouter or Reka","User acceptance that answers may contain inaccuracies and should be verified for critical applications"],"input_types":["text (natural language questions)","structured queries (e.g., 'Explain the concept of...')"],"output_types":["text (natural language explanations and answers)","structured text (bullet points, lists, formatted explanations)"],"categories":["text-generation-language","knowledge-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-rekaai-reka-flash-3__cap_4","uri":"capability://text.generation.language.creative.text.generation.with.style.and.tone.control","name":"creative text generation with style and tone control","description":"Reka Flash 3 generates creative content (stories, poetry, marketing copy, dialogue) with controllable style and tone through instruction-based prompting. The model learns style patterns from training data and applies them consistently across generated text, enabling users to specify tone (formal, casual, humorous) and genre without fine-tuning or specialized prompt engineering.","intents":["Generate marketing copy and product descriptions with specific brand voice","Create fictional narratives, dialogue, and character interactions","Produce creative writing samples for brainstorming and ideation","Generate multiple variations of content with different tones for A/B testing"],"best_for":["Content creators and marketing teams needing rapid copy generation","Game developers generating NPC dialogue and narrative content","Creative professionals using AI as a brainstorming and ideation tool"],"limitations":["Generated content may lack originality and reuse common phrases from training data","Tone control is approximate — subtle style distinctions may not be preserved across long outputs","No built-in plagiarism detection — generated content should be checked against existing works","Creative quality is subjective and may not meet professional standards without human editing"],"requires":["API key for OpenRouter or Reka","Clear style and tone specifications in prompts","Human editorial review for professional use cases"],"input_types":["text (creative prompts, story premises, character descriptions)","structured instructions (tone, style, genre specifications)"],"output_types":["text (stories, poetry, marketing copy, dialogue)","structured text (formatted narratives, scene descriptions)"],"categories":["text-generation-language","creative-writing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-rekaai-reka-flash-3__cap_5","uri":"capability://text.generation.language.summarization.with.adjustable.detail.levels","name":"summarization with adjustable detail levels","description":"Reka Flash 3 condenses long-form text (articles, documents, conversations) into summaries of variable length and detail through instruction-based control. The model extracts key information, preserves essential facts, and adjusts summary granularity (brief bullet points vs. detailed paragraphs) based on user specifications without requiring separate models or fine-tuning.","intents":["Summarize long documents or articles into executive summaries","Extract key points from meeting transcripts or conversations","Generate brief abstracts for research papers or technical documentation","Create multiple summary versions at different detail levels for different audiences"],"best_for":["Knowledge workers processing large volumes of text","Teams managing documentation and knowledge bases","Researchers and analysts synthesizing information from multiple sources"],"limitations":["Summarization quality degrades on highly technical or domain-specific content","May omit important details if they appear late in source material","No source attribution — summaries cannot be traced back to specific passages","Context window limitations may prevent summarizing very long documents (>10k tokens)"],"requires":["API key for OpenRouter or Reka","Source text in plain text or structured format","Clear specifications for summary length and detail level"],"input_types":["text (articles, documents, transcripts, conversations)","structured instructions (summary length, detail level, focus areas)"],"output_types":["text (summaries in paragraph or bullet-point format)","structured text (key points, highlights, abstracts)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-rekaai-reka-flash-3__cap_6","uri":"capability://text.generation.language.translation.with.context.preservation","name":"translation with context preservation","description":"Reka Flash 3 translates text between languages while preserving meaning, tone, and context through multilingual transformer training and instruction-tuning. The model handles idiomatic expressions, cultural references, and technical terminology by learning translation patterns across diverse language pairs, enabling natural-sounding translations without requiring language-specific fine-tuning.","intents":["Translate user-generated content or customer communications across languages","Localize product documentation and marketing materials","Enable multilingual customer support by translating support tickets and responses","Support international teams working across language barriers"],"best_for":["Global teams and companies supporting multiple languages","Content platforms serving international audiences","Localization teams accelerating translation workflows"],"limitations":["Translation quality varies significantly by language pair — high-resource pairs (English-Spanish) perform better than low-resource pairs","Idiomatic expressions and cultural references may not translate accurately","No domain-specific terminology handling — technical translations may require post-editing","Context window limitations prevent translating very long documents in single requests"],"requires":["API key for OpenRouter or Reka","Source text in supported language","Target language specification","Optional: domain context or terminology glossary for specialized content"],"input_types":["text (content to translate in any supported language)","structured instructions (target language, tone, domain context)"],"output_types":["text (translated content in target language)","structured text (translations with alternative phrasings)"],"categories":["text-generation-language","localization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-rekaai-reka-flash-3__cap_7","uri":"capability://text.generation.language.instruction.following.with.constraint.adherence","name":"instruction-following with constraint adherence","description":"Reka Flash 3 strictly follows complex, multi-part instructions and adheres to specified constraints (output format, length limits, style requirements) through instruction-tuning that prioritizes constraint satisfaction. The model parses compound instructions, maintains constraint awareness throughout generation, and produces outputs that satisfy all specified requirements without requiring explicit constraint encoding in prompts.","intents":["Build systems that require strict adherence to output format specifications","Create assistants that follow complex, multi-step instructions reliably","Implement workflows where constraint violations cause downstream failures","Generate content that must meet specific requirements (length, style, structure)"],"best_for":["Developers building deterministic AI workflows with strict output requirements","Teams implementing AI systems in regulated industries requiring compliance","Builders creating AI-powered tools where output format is critical"],"limitations":["Constraint adherence degrades with conflicting or ambiguous instructions","No formal verification — constraints may be violated in edge cases","Complex constraints (e.g., 'output must be valid JSON AND follow specific schema') may not be fully satisfied","Instruction-following quality depends on clarity and specificity of constraints"],"requires":["API key for OpenRouter or Reka","Clear, unambiguous instruction specifications","Output validation layer to verify constraint adherence"],"input_types":["text (complex instructions with multiple constraints)","structured instructions (format specifications, style guides, length limits)"],"output_types":["text (outputs adhering to specified constraints)","structured data (JSON, YAML, formatted text)"],"categories":["text-generation-language","instruction-following"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-rekaai-reka-flash-3__cap_8","uri":"capability://text.generation.language.reasoning.and.explanation.generation.with.step.by.step.justification","name":"reasoning and explanation generation with step-by-step justification","description":"Reka Flash 3 generates detailed explanations and step-by-step reasoning for answers through instruction-tuning that encourages intermediate reasoning steps and explicit justification. The model breaks down complex problems into components, explains reasoning at each step, and provides transparent decision-making processes that enable users to understand and verify conclusions.","intents":["Generate educational explanations that teach concepts through step-by-step reasoning","Provide transparent decision-making for AI-assisted analysis and recommendations","Create debugging assistance that explains why code has errors and how to fix them","Build systems where reasoning transparency is required for user trust or compliance"],"best_for":["Educational platforms and tutoring systems","Explainable AI systems in regulated industries","Debugging and code review tools requiring transparent reasoning","Decision support systems where users need to understand AI recommendations"],"limitations":["Step-by-step reasoning increases output length and latency compared to direct answers","Reasoning quality degrades on highly complex problems requiring deep domain expertise","No formal verification of reasoning correctness — explanations may contain logical errors","Reasoning transparency may expose model limitations or knowledge gaps"],"requires":["API key for OpenRouter or Reka","Acceptance of longer response times due to reasoning generation","User capability to evaluate reasoning quality"],"input_types":["text (questions, problems, code snippets requiring explanation)","structured prompts (e.g., 'Explain your reasoning step-by-step')"],"output_types":["text (step-by-step explanations with intermediate reasoning)","structured text (numbered steps, reasoning chains, conclusions)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["API key for OpenRouter or direct Reka API access","HTTP client library (curl, Python requests, JavaScript fetch, etc.)","Network connectivity to Reka/OpenRouter inference endpoints","API key for OpenRouter or Reka","Programming language knowledge to validate and test generated code","Development environment with appropriate language runtime/compiler","JSON schema definitions for all available functions","Function execution environment (external API endpoints, local functions, etc.)","Orchestration layer to handle function invocation and result processing","User acceptance that answers may contain inaccuracies and should be verified for critical applications"],"failure_modes":["Context window size not explicitly specified — may truncate very long conversation histories","No built-in memory persistence across sessions — requires external state management for persistent conversations","Instruction-following quality degrades with adversarial or out-of-distribution prompts compared to larger models like GPT-4","No real-time compilation or syntax validation — generated code may contain subtle bugs in complex algorithms","Limited context awareness of project-specific libraries or custom frameworks not in training data","Performance degrades on domain-specific languages (DSLs) or proprietary syntax not well-represented in training corpus","No built-in code execution environment — requires external testing/validation","Function calling accuracy depends on schema clarity — ambiguous or poorly documented schemas lead to incorrect argument binding","No built-in error handling or retry logic when function calls fail — requires external orchestration layer","Limited to JSON schema format — cannot directly invoke functions in other serialization formats","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.43,"ecosystem":0.24,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.35,"quality":0.2,"ecosystem":0.1,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:24.485Z","last_scraped_at":"2026-05-03T15:20:45.776Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=rekaai-reka-flash-3","compare_url":"https://unfragile.ai/compare?artifact=rekaai-reka-flash-3"}},"signature":"r0AOOyotM3kQiaSasN0Lcl2ry9yBt4JiY+9oN8is7t+KxzygUrJiQg+nGmCI9wNnz2Hvu95MCuv/RoSvazYlAA==","signedAt":"2026-06-20T08:41:53.527Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/rekaai-reka-flash-3","artifact":"https://unfragile.ai/rekaai-reka-flash-3","verify":"https://unfragile.ai/api/v1/verify?slug=rekaai-reka-flash-3","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}