Grok 3
xAI's flagship reasoning model with a 1M-token context window, real-time X (Twitter) data access, and Think mode for hard problems. The default for current-events research and large-context analysis on Renas AI.
Model Specs
- Released
- Feb 2025
- Context window
- 1.0M tokens
- Capabilities
- reasoningextended-thinkingreal-time-datalong-context
- Modalities
- textvision
About this model
Grok 3 is xAI's flagship reasoning model, released on February 19, 2025. Two things make it distinctive among frontier models: (1) a 1,000,000-token context window — among the largest available, on par with Gemini 2.0 Flash and 2.5x larger than GPT-5.2's 400K — and (2) native real-time access to X (Twitter) data, which means the model can pull current events, trending topics, and live discussions into its responses without a separate retrieval step.
On the public benchmarks xAI reports (Think mode, cons@64 — consistency over 64 samples), Grok 3 reaches 84.6% on GPQA Diamond, 93.3% on AIME 2025, and 79.4% on LiveCodeBench. These place it solidly in the frontier tier — not always the absolute leader (GPT-5.2's 100% AIME and 93.2% GPQA Diamond are higher) but consistently competitive while bringing the unique real-time-data and ultra-long-context advantages.
On Renas AI, Grok 3 costs 0.07 credits per word — the same tier as GPT-5.2 and Claude Sonnet 4.5. Reach for Grok 3 when (a) you need current events or trending data baked into the model's response, (b) the input is genuinely massive (multi-document research, long codebases) and 400K isn't enough, or (c) you want to compare against OpenAI/Anthropic on reasoning-heavy tasks. For tasks that don't specifically benefit from real-time data or ultra-long context, GPT-5.2 or Claude Sonnet 4.5 are usually the safer defaults.
Key Strengths
1M-token context window
1,000,000-token context — 2.5x larger than GPT-5.2 (400K) and 5x larger than Claude Sonnet 4.5 (200K). Useful for full-codebase analysis, multi-document research synthesis, and long content generation that maintains coherence across the full window.
Real-time X (Twitter) data access
Unique among frontier models — Grok 3 can pull current events, trending topics, and live discussions into responses. The data is filtered through xAI's pipeline, not raw social media noise. Useful for current-events research, brand monitoring, and time-sensitive content.
Think mode for hard reasoning
When extended thinking is enabled, Grok 3 spends additional inference time on chain-of-thought reasoning — boosting accuracy on math (AIME 93.3%), science (GPQA Diamond 84.6%), and coding (LiveCodeBench 79.4%) benchmarks substantially over the non-Think baseline.
Native vision input
Multimodal text + image input at no extra credit cost. Vision capability is on par with the GPT and Claude families.
Long-context retrieval (LOFT 128K)
xAI reports state-of-the-art accuracy on the LOFT 128K benchmark — the model actually uses its long context effectively rather than degrading near the end of the window.
Competitive flagship pricing
Same 0.07 credits per word as GPT-5.2 and Claude Sonnet 4.5 — frontier-tier capability without a price premium over the alternatives.
Benchmarks
How it compares
Grok 3 sits in the flagship tier alongside GPT-5.2 and Claude Sonnet 4.5 — same price, different strengths.
| vs. Model | Verdict | Outcome |
|---|---|---|
| GPT-5.2 | GPT-5.2 has higher reasoning benchmarks (GPQA Diamond 93.2 vs 84.6, AIME 100 vs 93.3) and more recent knowledge cutoff (Aug 2025 vs Grok's Feb 2025 release era). Grok 3 wins on context length (1M vs 400K) and unique real-time X data access. Pick GPT-5.2 for pure reasoning; Grok 3 for current events or ultra-long inputs. | Depends |
| Claude Sonnet 4.5 | Sonnet 4.5 leads on coding (SWE-bench Verified 77.2%) and computer-use automation. Grok 3 leads on context length (1M vs 200K) and real-time data. Same price (0.07 credits per word). Pick Sonnet for coding and agentic work; Grok for current events and long-context analysis. | Depends |
| Gemini 1.5 Pro | Gemini 1.5 Pro has a 2M context window — 2x larger than Grok 3 — and accepts native audio + video input. Grok wins on real-time X data and reasoning benchmarks. Gemini is older (Sept 2024) and on Renas costs less (0.05 vs 0.07 credits per word). Pick Gemini for cheap ultra-long context with multimodal; Grok for reasoning quality and current-events. | Depends |
Pros
- 1M-token context window — among the largest in the flagship tier
- Unique real-time X (Twitter) data access for current-events queries
- Think mode for high-quality reasoning (GPQA, AIME, LiveCodeBench)
- State-of-the-art on long-context retrieval (LOFT 128K benchmark)
- Native vision input at no extra credit cost
- Competitive flagship pricing — same tier as GPT-5.2 and Sonnet 4.5
Things to consider
- Lower scores than GPT-5.2 on hardest reasoning benchmarks (GPQA, AIME)
- Real-time data access requires careful prompt design — model needs to know when to pull current info
- X (Twitter) source bias — current data reflects what's discussed on the platform, not all of the internet
- Newer model = less prompt-engineering literature than GPT/Claude families
- No specific SWE-bench score reported by xAI — coding benchmark coverage uses LiveCodeBench instead
Best use cases
Current-events research
Brand monitoring, trend analysis, market sentiment work. Real-time X data access means you don't need a separate web-scraping or RSS pipeline — Grok pulls in current information directly.
Ultra-long document analysis
Full codebases (1M tokens fit ~75K lines of typical code), multi-document research syntheses, year-long meeting archives. Grok's context capacity exceeds GPT-5.2's 400K.
Math and competition reasoning
AIME 2025 score of 93.3% (cons@64) places Grok 3 near the top of competitive math benchmarks. Useful for math tutoring, technical problem-solving, and quantitative work.
Code generation and review
LiveCodeBench 79.4% — solid on contemporary coding problems (anti-contamination benchmark). Pairs well with the long context for full-codebase reasoning.
Multimodal technical analysis
Vision input + reasoning combined — interpreting scientific diagrams, technical charts, UI screenshots alongside text-based analysis.
Time-sensitive content workflows
News-adjacent content, market commentary, trend-driven blog posts. Real-time data access means content reflects the current moment, not the model's training cutoff.
How to use it on Renas AI
- 1
Step 1
Pick the surface that fits the task
Grok 3 is available in AI Chat, AI Editor, Blog Wizard, and the WordPress plugin on Renas AI. For current-events queries, AI Chat is the natural surface; for long content generation, the Blog Wizard.
- 2
Step 2
Switch to Grok 3 in the model picker
Sonnet 4.5 is the Renas chat default — switch to Grok 3 when (a) you specifically need real-time data access, (b) your input exceeds 400K tokens, or (c) you're benchmarking against other flagship models on reasoning tasks.
- 3
Step 3
Provide context and constraints
Paste long documents, attach images, or describe your task. The 1M context fits almost any realistic input in one message. For real-time-data queries, just ask naturally — Grok pulls in current information automatically when relevant.
- 4
Step 4
Iterate, export, or hand off
Read the response, follow up in the same conversation, then export to Markdown / Word / WordPress. For repeating workflows, save the prompt as a Persona — Grok 3 retains its real-time data character across long sessions.
Pricing
Pricing on Renas AI
Pay-as-you-go credits, no API keys, no rate limits.
~142,857 words on a 10,000-credit Spark plan
Frequently asked questions
Other xAI models
Other text models on Renas AI
Reasoning + real-time data + ultra-long context
Use Grok 3 with your Renas AI subscription credits — no API key, no setup, no per-seat fees.
Try Grok 3