Would you use Grok 3 in production? Or is this more noise than signal?
LLMS
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Grok 3 API Launch Signals xAI’s Ambition in AI Race
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What's next? With the Grok 3 API now live, xAI is stepping directly into the ring with OpenAI, Anthropic, and Google. Pricing signals ambition, but performance, transparency, and adoption will ultimately decide who wins.
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Grok’s unfiltered promise questioned after left-leaning tests
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A quick political detour: Remember Grok’s edgy, unfiltered promise? Musk said it wouldn’t be “woke.” But earlier Grok models leaned left in tests. It’s unclear if Grok 3 corrected that or simply rebranded it.
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Grok 3 API context limit maxes at 131K tokens, not 1M
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Some early catches: The API maxes out at 131K tokens,
not the 1M tokens xAI previously claimed. Users on X have already pointed it out. Also, Grok 3’s context behavior seems narrower than advertised. -
Grok 3 pricing and benchmark concerns versus Claude and Gemini
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It’s not the cheapest model on the market. Grok 3 is on par with Claude 3.7 Sonnet, but pricier than Google’s Gemini 2.5 Pro. And benchmark results? Let’s just say xAI’s reporting has raised a few eyebrows.
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Grok 3 Pricing Breakdown for Standard, Speed, Mini
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Here’s the full pricing breakdown: Grok 3 Standard • $3M / input tokens
• $15M / output tokens Grok 3 Speed • $5M / input
• $25M / output Grok 3 Mini Standard • $0.30M / input
• $0.50M / output Grok 3 Mini Speed • $0.60M / input
• $4M / output -
Grok 3 versions: Full model and Mini, each in Standard and Speed.
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There are 2 versions: • Grok 3 (full model)
• Grok 3 Mini (lighter, cheaper) Each one comes in Standard and Speed editions. -
xAI launches Grok 3 API: fast, expensive, real-world ready
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BREAKING: Elon Musk’s xAI just launched the API for Grok 3. It’s fast, expensive, and ready for real-world use. Here’s everything you need to know
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Early AI Agents: Building Intelligent Systems Before LLMs
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Before LLMs were cool, I made ai "agents". Can you believe it? Here's an example of one of the "agents" that I made back then:
– user inputs a query such as "book a flight to london to new york on 24th may"
– intent classification model figures out the intent: book flight
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Seed-Thinking-v1.5: Advanced AI Model Capabilities Showcase
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Now, can you imagine how strong Seed-Thinking-v1.5 will be?
Seed-Thinking-v1.5: https://
github.com/ByteDance-Seed
/Seed-Thinking-v1.5/blob/main/seed-thinking-v1.5.pdf
…
DAPO: https://
arxiv.org/abs/2503.14476
VAPO: