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GLM-4.7 from Z.ai is live on Cerebras! - Frontier intelligence for coding, tool-driven agents, and multi-turn reasoning - Record coding speed: ~1,000 tokens per second (up to 1,700 TPS for other uses) - Strong price-performance: ~10x higher than Sonnet 4.5

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Cerebras

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134,887 просмотров • 6 месяцев назад •via X (Twitter)

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GLM 4.7 is one of the strongest open-source coding models available—but most developers aren't prompting it correctly. We put together 10 rules to help you get the most out of it: - Front-load instructions (it has a strong recency bias) - Use firm language: "must" and "strictly" > soft suggestions - Break complex tasks into smaller steps - Disable reasoning for simple tasks, enable it for hard ones - Use critic agents for code review, QA, and validation - Pair it with a frontier model for the hardest 10% of workloads - and more… GLM 4.7 hits 96% on Tau² Bench and 86% on GPQA Diamond. At 1,500 tokens/sec on Cerebras, it's 20x faster than closed-source alternatives on GPUs.
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GLM 4.7 is one of the strongest open-source coding models available—but most developers aren't prompting it correctly. We put together 10 rules to help you get the most out of it: - Front-load instructions (it has a strong recency bias) - Use firm language: "must" and "strictly" > soft suggestions - Break complex tasks into smaller steps - Disable reasoning for simple tasks, enable it for hard ones - Use critic agents for code review, QA, and validation - Pair it with a frontier model for the hardest 10% of workloads - and more… GLM 4.7 hits 96% on Tau² Bench and 86% on GPQA Diamond. At 1,500 tokens/sec on Cerebras, it's 20x faster than closed-source alternatives on GPUs.

Cerebras

633,658 просмотров • 5 месяцев назад

GLM 4.7 is one of the top open-source models on LM Arena—and it's going toe-to-toe with Claude Opus 4.5 and Gemini Pro. We sat down with Anastasios Nikolas Angelopoulos, co-founder and CEO of Arena.ai, to break down 8,000+ developer votes: → Within 30 points of Gemini Pro in math & coding → Frontier-level multi-turn & instruction following → The open-source model devs are actually switching to The best part? You can run it at 1,500+ tokens/sec on Cerebras—for free.
4:14

GLM 4.7 is one of the top open-source models on LM Arena—and it's going toe-to-toe with Claude Opus 4.5 and Gemini Pro. We sat down with Anastasios Nikolas Angelopoulos, co-founder and CEO of Arena.ai, to break down 8,000+ developer votes: → Within 30 points of Gemini Pro in math & coding → Frontier-level multi-turn & instruction following → The open-source model devs are actually switching to The best part? You can run it at 1,500+ tokens/sec on Cerebras—for free.

Cerebras

28,515 просмотров • 5 месяцев назад

GLM-4.6 is now live on Cerebras 🟧 - 1,000 TPS: 17x faster than Claude - World’s #1 tool calling model - Tasteful and reliable codegen - Self-serve API starting at $10 Try it now:
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GLM-4.6 is now live on Cerebras 🟧 - 1,000 TPS: 17x faster than Claude - World’s #1 tool calling model - Tasteful and reliable codegen - Self-serve API starting at $10 Try it now:

Cerebras

33,135 просмотров • 7 месяцев назад

Cerebras Code: 20x faster than Claude, 1x the price Today we are launching two monthly coding plans: ➡️Cerebras Code Pro: $50/m – for indie developers ➡️Cerebras Code Max: $200/m – for power users with 5x rate limits Both plans get: Qwen3-Coder at 2,000 tokens/s, 131K context, and no weekly limits. Sign up now:
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Cerebras Code: 20x faster than Claude, 1x the price Today we are launching two monthly coding plans: ➡️Cerebras Code Pro: $50/m – for indie developers ➡️Cerebras Code Max: $200/m – for power users with 5x rate limits Both plans get: Qwen3-Coder at 2,000 tokens/s, 131K context, and no weekly limits. Sign up now:

Cerebras

461,182 просмотров • 11 месяцев назад

Our coding workflows were designed to accommodate slow inference. OpenAI's Codex Spark powered by Cerebras changes the game. Here's how we make the most out of 1,200 tokens per second, with Sarah Fong.
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Our coding workflows were designed to accommodate slow inference. OpenAI's Codex Spark powered by Cerebras changes the game. Here's how we make the most out of 1,200 tokens per second, with Sarah Fong.

Cerebras

13,370 просмотров • 3 месяцев назад

Introducing Fast Deep Coder by NinjaTech AI - a coding agent with its own cloud VM ‣ Sonnet-level capability (69.6% SWE-bench) ‣ 5–10x faster using Qwen3 Coder on Cerebras ‣ Runs in a persistent cloud VM, freeing up your laptop ‣ Native GitHub integration Try it here:
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Introducing Fast Deep Coder by NinjaTech AI - a coding agent with its own cloud VM ‣ Sonnet-level capability (69.6% SWE-bench) ‣ 5–10x faster using Qwen3 Coder on Cerebras ‣ Runs in a persistent cloud VM, freeing up your laptop ‣ Native GitHub integration Try it here:

Cerebras

21,091 просмотров • 10 месяцев назад

Introducing Cerebras Inference ‣ Llama3.1-70B at 450 tokens/s – 20x faster than GPUs ‣ 60c per M tokens – a fifth the price of hyperscalers ‣ Full 16-bit precision for full model accuracy ‣ Generous rate limits for devs Try now:
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Introducing Cerebras Inference ‣ Llama3.1-70B at 450 tokens/s – 20x faster than GPUs ‣ 60c per M tokens – a fifth the price of hyperscalers ‣ Full 16-bit precision for full model accuracy ‣ Generous rate limits for devs Try now:

Cerebras

706,706 просмотров • 1 год назад

Overview of our recent launch of Coding Agent benchmarks on Artificial Analysis and our first Youtube Video! We walk through the performance, cost, token usage and speed differences across different coding agents. This includes looking at Opus 4.7 in Claude Code's leading performance and Composer 2.5's strong positioning on the Coding Agent Index / Cost Pareto frontier. We have also launched our YouTube channel! Come say hi and subscribe:
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Overview of our recent launch of Coding Agent benchmarks on Artificial Analysis and our first Youtube Video! We walk through the performance, cost, token usage and speed differences across different coding agents. This includes looking at Opus 4.7 in Claude Code's leading performance and Composer 2.5's strong positioning on the Coding Agent Index / Cost Pareto frontier. We have also launched our YouTube channel! Come say hi and subscribe:

Artificial Analysis

10,623 просмотров • 1 месяц назад

Fast tokens are the most valuable tokens. Because inference speed is productivity. And Cerebras makes the fastest tokens in the world. Google DeepMind's Gemma 4 runs at 1,500+ tokens per second on Cerebras — more than an order of magnitude faster than on GPUs and 15x faster than Claude Haiku 4.5. Private preview today. GA later this month. Build blazing fast multimodal apps.
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Fast tokens are the most valuable tokens. Because inference speed is productivity. And Cerebras makes the fastest tokens in the world. Google DeepMind's Gemma 4 runs at 1,500+ tokens per second on Cerebras — more than an order of magnitude faster than on GPUs and 15x faster than Claude Haiku 4.5. Private preview today. GA later this month. Build blazing fast multimodal apps.

Andrew Feldman

12,008 просмотров • 19 дней назад

📣 Claude Sonnet 4.5, Anthropic’s most advanced model for coding and real-world agents, is now rolling out in GitHub Copilot to Copilot Pro, Pro+, Business, and Enterprise ⬇️
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📣 Claude Sonnet 4.5, Anthropic’s most advanced model for coding and real-world agents, is now rolling out in GitHub Copilot to Copilot Pro, Pro+, Business, and Enterprise ⬇️

GitHub

179,762 просмотров • 9 месяцев назад

Introducing GLM-5V-Turbo: Vision Coding Model - Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts. - Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for multimodal coding, tool use, and GUI Agents. - Deep Adaptation for Claude Code and Claw Scenarios: Works in deep synergy with Agents like Claude Code and OpenClaw. Try it now: API: Coding Plan trial applications:
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Introducing GLM-5V-Turbo: Vision Coding Model - Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts. - Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for multimodal coding, tool use, and GUI Agents. - Deep Adaptation for Claude Code and Claw Scenarios: Works in deep synergy with Agents like Claude Code and OpenClaw. Try it now: API: Coding Plan trial applications:

Z.ai

1,963,470 просмотров • 3 месяцев назад

How does the #1 open Text Arena model hold up in agentic coding tasks? We tested GLM-5 in Code Arena with head-to-head SVG prompts vs. top frontier AI models. What do you think? Scores for Z.ai 's GLM-5 in Code Arena coming soon. Test out GLM-5 for yourself and get voting.
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How does the #1 open Text Arena model hold up in agentic coding tasks? We tested GLM-5 in Code Arena with head-to-head SVG prompts vs. top frontier AI models. What do you think? Scores for Z.ai 's GLM-5 in Code Arena coming soon. Test out GLM-5 for yourself and get voting.

Arena.ai

115,220 просмотров • 4 месяцев назад

GPT-5.4 is here. Native computer-use capabilities. Up to 1M tokens of context in Codex and the API. Best-in-class agentic coding for complex tasks. Scalable tool search across larger ecosystems. More efficient reasoning for long, tool-heavy workflows.
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GPT-5.4 is here. Native computer-use capabilities. Up to 1M tokens of context in Codex and the API. Best-in-class agentic coding for complex tasks. Scalable tool search across larger ecosystems. More efficient reasoning for long, tool-heavy workflows.

OpenAI Developers

1,074,122 просмотров • 4 месяцев назад

🚨 Big news! Cerebras is launching six new AI data centers across North America & Europe. This expands our capacity to 40M+ tokens/sec, making Cerebras the first hyperscale cloud for high-speed AI inference. Read more:
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🚨 Big news! Cerebras is launching six new AI data centers across North America & Europe. This expands our capacity to 40M+ tokens/sec, making Cerebras the first hyperscale cloud for high-speed AI inference. Read more:

Cerebras

27,477 просмотров • 1 год назад

We gave frontier AI coding agents 24 hours to write a complete Game Boy Advance emulator from scratch. GPT-5.5's emulator runs games best, with Claude Sonnet 4.6 and Opus 4.7 close behind. Gemini 3.1 Pro failed to produce a working emulator.
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We gave frontier AI coding agents 24 hours to write a complete Game Boy Advance emulator from scratch. GPT-5.5's emulator runs games best, with Claude Sonnet 4.6 and Opus 4.7 close behind. Gemini 3.1 Pro failed to produce a working emulator.

Mechanize

95,338 просмотров • 1 месяц назад

🚨 Calling all developers: Fetch Coder is live. This AI-native coding assistant built for Web3 understands entire codebases in seconds, coordinates multi-file edits that actually work and seamlessly integrates with Agentverse by Fetch.ai for instant agent deployment. Go from idea → prototype → live autonomous agents faster than ever. This is coding built for Web3. Try it now:
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🚨 Calling all developers: Fetch Coder is live. This AI-native coding assistant built for Web3 understands entire codebases in seconds, coordinates multi-file edits that actually work and seamlessly integrates with Agentverse by Fetch.ai for instant agent deployment. Go from idea → prototype → live autonomous agents faster than ever. This is coding built for Web3. Try it now:

Fetch.ai

93,666 просмотров • 8 месяцев назад

🐋 DeepSeek-R1 671B is on our Cloud! This BLACKBOX AI demo shows the advantages of coding significantly better w/ R1 671B & shows our speed against GPUs 😊. In CyberCoder, BlackBox uses R1 to improve the performance of coding agents, a primary use case for #DeepSeekR1 671B.
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🐋 DeepSeek-R1 671B is on our Cloud! This BLACKBOX AI demo shows the advantages of coding significantly better w/ R1 671B & shows our speed against GPUs 😊. In CyberCoder, BlackBox uses R1 to improve the performance of coding agents, a primary use case for #DeepSeekR1 671B.

SambaNova

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Built with GLM 4.7 Z.ai 🤝 Factory
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Built with GLM 4.7 Z.ai 🤝 Factory

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22,365 просмотров • 6 месяцев назад

Qwen3.5 is here 🚀 397B params, just 17B active. Native multimodal agents for coding, reasoning, GUI + video. 200+ languages. Open weights. Real scale. The next frontier is open. 🔗
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Qwen3.5 is here 🚀 397B params, just 17B active. Native multimodal agents for coding, reasoning, GUI + video. 200+ languages. Open weights. Real scale. The next frontier is open. 🔗

Hugging Models

107,897 просмотров • 4 месяцев назад

OpenAI Codex-Spark powered by Cerebras You can now just build things faster—at 1,000 tokens/s.
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OpenAI Codex-Spark powered by Cerebras You can now just build things faster—at 1,000 tokens/s.

Cerebras

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