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Grok 4.1 Fast outperforms all major frontier models on τ²-Bench Telecom for agentic tool use Beating the newest models from Google (Gemini 3 Pro), Anthropic (Claude Opus 4.5), and OpenAI (GPT 5.2 xhigh)

X Freeze

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40,853 views • 7 months ago •via X (Twitter)

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Grok 4.1 Fast Reasoning just outperformed the newly released GPT‑5.2 (xHigh) on τ²-Bench-Verified Agentic Tool Use and ranks #1

Grok 4.1 Fast Reasoning just outperformed the newly released GPT‑5.2 (xHigh) on τ²-Bench-Verified Agentic Tool Use and ranks #1

X Freeze

4,711,891 views • 8 months ago

Announcing Fortytwo’s Swarm Inference A decentralized AI architecture that outperforms the top frontier models from the biggest labs: > ChatGPT 5 (OpenAI), > Gemini 2.5 Pro (Google), > Claude Opus 4.1 (Anthropic), > Grok 4 (xAI), > DeepSeek R1 (DeepSeek). Thread ↓

Announcing Fortytwo’s Swarm Inference A decentralized AI architecture that outperforms the top frontier models from the biggest labs: > ChatGPT 5 (OpenAI), > Gemini 2.5 Pro (Google), > Claude Opus 4.1 (Anthropic), > Grok 4 (xAI), > DeepSeek R1 (DeepSeek). Thread ↓

Fortytwo

171,525 views • 9 months ago

👀 Asking all the new GPT-4.1 models from OpenAI to draw… a pelican. Then comparing with Grok 3, LLaMA 4, and Gemini 2.5 Pro. Which one do you prefer? Try it yourself on 80+ models — 👇

👀 Asking all the new GPT-4.1 models from OpenAI to draw… a pelican. Then comparing with Grok 3, LLaMA 4, and Gemini 2.5 Pro. Which one do you prefer? Try it yourself on 80+ models — 👇

Pierre Valade

123,811 views • 1 year ago

✅ Top AI LLM Models for Every Task → Writing & Research: GPT-5, Claude 4.5, Gemini 3 Pro, Perplexity → Social Content: Grok 4, GPT o3, DeepSeek → Academic / STEM: Claude 4.5, MiniMax Ask GPT-5 FREE now 👉

✅ Top AI LLM Models for Every Task → Writing & Research: GPT-5, Claude 4.5, Gemini 3 Pro, Perplexity → Social Content: Grok 4, GPT o3, DeepSeek → Academic / STEM: Claude 4.5, MiniMax Ask GPT-5 FREE now 👉

Leo ☄️

37,459 views • 7 months ago

Grok 4.20 grabbed #1 on PredictionArena. Only AI in the green. Everyone else lost the entry fee. Gemini 3.0 Pro, Claude Opus 4.5, GPT-5.2 - all in the red. “Can it predict?” looks answered. xAI, Grok, X Freeze

Grok 4.20 grabbed #1 on PredictionArena. Only AI in the green. Everyone else lost the entry fee. Gemini 3.0 Pro, Claude Opus 4.5, GPT-5.2 - all in the red. “Can it predict?” looks answered. xAI, Grok, X Freeze

Mario Nawfal

41,789 views • 6 months ago

One prompt. 6 frontier coding models. "Create a realistic fireworks show using HTML Canvas and JavaScript. No libraries." Some built a whole celebration. Others... lit a sparkler. The lineup: - GPT-5.3 Codex - Claude Opus 4.6 - Gemini 3.1 Pro - MiniMax M2.7 - GLM-5 - Kimi K2.5

One prompt. 6 frontier coding models. "Create a realistic fireworks show using HTML Canvas and JavaScript. No libraries." Some built a whole celebration. Others... lit a sparkler. The lineup: - GPT-5.3 Codex - Claude Opus 4.6 - Gemini 3.1 Pro - MiniMax M2.7 - GLM-5 - Kimi K2.5

stevibe

14,152 views • 4 months ago

Claude Opus 4.6 is available for all users in Orchids right now! Tag Orchids with any app idea and we’ll give you 100k in free credits to test it out. Comparisons to Opus 4.5, GPT-5.2-Codex, Gemini 3 Flash, and Kimi K2.5 👇 Prompt: Make me an interactive, 3d model of the solar system.

Claude Opus 4.6 is available for all users in Orchids right now! Tag Orchids with any app idea and we’ll give you 100k in free credits to test it out. Comparisons to Opus 4.5, GPT-5.2-Codex, Gemini 3 Flash, and Kimi K2.5 👇 Prompt: Make me an interactive, 3d model of the solar system.

Orchids

22,774 views • 6 months ago

Gemini 3 Pro, Google’s latest model, is now available for all Warp users. Gemini 3 Pro impressed our team right out of the gate. It even performed 15% better than previous models on Terminal-Bench 2.0

Gemini 3 Pro, Google’s latest model, is now available for all Warp users. Gemini 3 Pro impressed our team right out of the gate. It even performed 15% better than previous models on Terminal-Bench 2.0

Warp

18,009 views • 8 months ago

so let me get this straight > OpenAI renamed their whole division "AGI Deployment" > Jensen said AGI is "already in the room" and then ARC-AGI-3 drops and on a scale from 0 to 100% SOTA models score: GPT-5.4: 0.26% Gemini Pro: 0.37% Claude Opus 4.6: 0.25% Grok: literally 0% meanwhile 100% of human testers solved every single environment. first try. no instructions. no training. AGI is "in the room" brother it couldn't find the room

so let me get this straight > OpenAI renamed their whole division "AGI Deployment" > Jensen said AGI is "already in the room" and then ARC-AGI-3 drops and on a scale from 0 to 100% SOTA models score: GPT-5.4: 0.26% Gemini Pro: 0.37% Claude Opus 4.6: 0.25% Grok: literally 0% meanwhile 100% of human testers solved every single environment. first try. no instructions. no training. AGI is "in the room" brother it couldn't find the room

Dan ⚡️

250,881 views • 4 months ago

we compared Gemini 3.1 Pro, Opus 4.7, and GPT 5.5 to Kimi K2.6, Xiaomi Mimo v2.5, and Qwen 3.6 Max in average, closed source are faster. GPT 5.5 and Opus 4.7 the fastest. Kimi K2.6 comes after. It keeps up thanks to its native INT4 quantization. MiMo took the longest, but the refinement and aesthetic only ranks after Gemini 3.1. as if a mini Gemini. Its slow cuz it's trained for long-horizon agentic work. Claude Opus 4.7 is blooming in a very different style, probably because Anthropic trains for taste, not just accuracy.

we compared Gemini 3.1 Pro, Opus 4.7, and GPT 5.5 to Kimi K2.6, Xiaomi Mimo v2.5, and Qwen 3.6 Max in average, closed source are faster. GPT 5.5 and Opus 4.7 the fastest. Kimi K2.6 comes after. It keeps up thanks to its native INT4 quantization. MiMo took the longest, but the refinement and aesthetic only ranks after Gemini 3.1. as if a mini Gemini. Its slow cuz it's trained for long-horizon agentic work. Claude Opus 4.7 is blooming in a very different style, probably because Anthropic trains for taste, not just accuracy.

GMI Cloud

37,446 views • 3 months ago

Both Claude Opus 5 and GPT-5.6 Sol have been performing exceptionally well on our leaderboards, ranking in the top 3 across almost all of our non-agentic tasks. We put both models through the same 3D design and website challenges to see where each excels the most. Watch the full breakdown on Youtube:

Both Claude Opus 5 and GPT-5.6 Sol have been performing exceptionally well on our leaderboards, ranking in the top 3 across almost all of our non-agentic tasks. We put both models through the same 3D design and website challenges to see where each excels the most. Watch the full breakdown on Youtube:

Design Arena

30,487 views • 10 days ago

HERMES AGENT NOW RUNS CLAUDE OPUS 5. NEAR FABLE 5 INTELLIGENCE. HALF THE PRICE. SELF-VERIFIES ITS OWN WORK. AVAILABLE TODAY VIA NOUS PORTAL (20% OFF ALL MODELS). Anthropic shipped Opus 5 on July 24, 2026. same $5/$25 per million tokens as Opus 4.8. but the benchmarks tell a different story. WHAT CHANGED FROM OPUS 4.8: FrontierBench v0.1: Opus 5: 43.3%. Opus 4.8: 18.7%. 2.3x jump on the same test. ARC-AGI-3: Opus 5: 30.2%. 3x better than the next closest model. beat Fable 5 on 8 out of 13 benchmarks. at half the cost ($5/$25 vs $10/$50). same price as Opus 4.8. twice the intelligence. no reason to stay on 4.8. THE SPECS: model ID: claude-opus-5 context: 1M tokens (default and maximum) max output: 128K tokens thinking: on by default effort toggle: low / medium / high per request fast mode: $10/$50, 2.5x faster knowledge cutoff: May 2026 minimum cacheable prompt: 512 tokens (was 1,024) SELF-VERIFICATION (the biggest change): Opus 5 checks its own work automatically. Anthropic says: delete your verification prompts. "include a final verification step" now causes OVER-verification because the model already does it. for Hermes /goal tasks this is a direct upgrade. the judge checks evidence. the model also checks evidence. double layer of verification without extra tokens. EFFORT TOGGLE: low: fast, cheap, routine work. medium: balanced, daily tasks. high: full reasoning, complex problems. set per request. not a global switch. matches Hermes /reasoning command: /reasoning low (routine) /reasoning high (complex) Opus 5 effort toggle + Hermes reasoning control = precise cost management per turn. WHERE OPUS 5 FITS IN HERMES: DAILY DRIVER (replaces Opus 4.8): same price. 2.3x better benchmarks. set as your main model: Desktop app / Dashboard: Models → claude-opus-5 CHIEF OF STAFF: synthesis across multiple agents. reads Kanban, prioritizes, routes tasks. self-verification catches routing errors before they cascade. COMPLEX CODING: SOTA on agentic coding benchmarks. FrontierBench 43.3% = best public model for coding. set as coder profile model. /GOAL TASKS: self-verification + completion contracts = the model proves its work AND double-checks the proof. long-horizon goals finish correctly more often. MoA AGGREGATOR: strongest synthesis model at $5/$25. pair with GPT-5.6 and Grok 4.5 as references. Opus 5 aggregates. best quality at mid-range price. presets: max-quality: reference_models: - provider: openai-codex model: gpt-5.6-sol - provider: xai model: grok-4.5 aggregator: provider: anthropic model: claude-opus-5 COMPUTER USE: near-Fable 5 quality for browser automation. at half the token cost per session. computer_use tasks burn lots of vision tokens. Opus 5 halves that bill vs Fable 5. WHAT TO KEEP OPUS 5 AWAY FROM: cron monitoring: too expensive. use DeepSeek or no_agent mode. sub-agent grunt work: use GPT-5.6 Luna ($1/$6) or DeepSeek. auxiliary tasks: use Gemini Flash. routine web extraction: use a cheap model. Opus 5 is for the turns where quality compounds. planning, synthesis, verification, complex reasoning. budget models handle everything else. NOUS PORTAL: 20% OFF ALL MODELS Nous Portal currently runs a 20% discount on all models including Opus 5. $5/$25 official → $4/$20 through Nous Portal. the cheapest way to run Opus 5 right now. hermes setup --portal select claude-opus-5 as your model. discount applies automatically. Opus 5 replaces Opus 4.8 everywhere. same price. better at everything. no tradeoff. straight upgrade. hermes update /model claude-opus-5

YanXbt

16,744 views • 19 days ago

Grok 4.5 performed GPT Sol level for free! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: -robot deathmatch, Tombstone vs Minotaur -a hydraulic press flattening stuff on a conveyor -a semi truck jumping a canyon Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Grok 4.5 handled all three scenes genuinely well and got surprisingly close to GPT-5.6 this round. On top of that, it ran on the free tier. GPT-5.6 Sol, the frontier model, put out solid but not standout work. GLM 5.2 rendered all three scenes for pennies, but it came out the roughest of the four. Meta's new Muse Spark burned the most tokens yet still stayed cheap, delivering an average result.

Grok 4.5 performed GPT Sol level for free! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: -robot deathmatch, Tombstone vs Minotaur -a hydraulic press flattening stuff on a conveyor -a semi truck jumping a canyon Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Grok 4.5 handled all three scenes genuinely well and got surprisingly close to GPT-5.6 this round. On top of that, it ran on the free tier. GPT-5.6 Sol, the frontier model, put out solid but not standout work. GLM 5.2 rendered all three scenes for pennies, but it came out the roughest of the four. Meta's new Muse Spark burned the most tokens yet still stayed cheap, delivering an average result.

atomic.chat

70,490 views • 1 month ago

After a weekend of testing and working on something with GPT-5.3-Codex & Opus 4.6, ChatGPT Pro + Claude Max 5x are still the best combo in my opinion Using Codex & Claude Code CLI running in tmux (the desktop apps are still a bit buggy) and they're accessible even on the go from iPhone with Termius (and VPN) Usually starting with GPT-5.3-Codex xhigh and Opus 4.6 in plan mode, discussing changes and options, and each writing their plans down to separate Markdown files Then letting GPT-5.3-Codex xhigh (or Opus 4.6) implement the changes as the first draft, then Opus 4.6 reviews them with a team of agents (works pretty well already with tmux even though still experimental) based on both prepared plans, fixes stuff, and then another review by GPT-5.3-Codex xhigh or vice versa Interesting that even Opus 4.6 still occasionally makes silly mistakes like wrong imports, partial or overly broad renaming of variables/functions, etc Fun fact, OpenAI apparently plans to use their Super Bowl ad to promote Codex - curious what that will look like

After a weekend of testing and working on something with GPT-5.3-Codex & Opus 4.6, ChatGPT Pro + Claude Max 5x are still the best combo in my opinion Using Codex & Claude Code CLI running in tmux (the desktop apps are still a bit buggy) and they're accessible even on the go from iPhone with Termius (and VPN) Usually starting with GPT-5.3-Codex xhigh and Opus 4.6 in plan mode, discussing changes and options, and each writing their plans down to separate Markdown files Then letting GPT-5.3-Codex xhigh (or Opus 4.6) implement the changes as the first draft, then Opus 4.6 reviews them with a team of agents (works pretty well already with tmux even though still experimental) based on both prepared plans, fixes stuff, and then another review by GPT-5.3-Codex xhigh or vice versa Interesting that even Opus 4.6 still occasionally makes silly mistakes like wrong imports, partial or overly broad renaming of variables/functions, etc Fun fact, OpenAI apparently plans to use their Super Bowl ad to promote Codex - curious what that will look like

Tibor Blaho

29,794 views • 6 months ago

Qwen 3.7-max beats Opus 4.7 and GPT-5.5 We tested three frontier models on a real agentic task: write a Tetris bot that plays the game and trains itself. Each model could read its own code, run benchmarks, and rewrite itself across 10 iterations. Then we compared the final bots head to head. Qwen 3.7-Max: training cost $1.32, bot improvement +56% Claude Opus 4.7: training cost $12.15, bot improvement +28% GPT-5.5: training cost $2.85, bot improvement +7% Qwen won on every dimension - biggest jump, 9× cheaper than Claude, 2× cheaper than GPT. Long agentic loops is where Qwen Max actually delivers.

Qwen 3.7-max beats Opus 4.7 and GPT-5.5 We tested three frontier models on a real agentic task: write a Tetris bot that plays the game and trains itself. Each model could read its own code, run benchmarks, and rewrite itself across 10 iterations. Then we compared the final bots head to head. Qwen 3.7-Max: training cost $1.32, bot improvement +56% Claude Opus 4.7: training cost $12.15, bot improvement +28% GPT-5.5: training cost $2.85, bot improvement +7% Qwen won on every dimension - biggest jump, 9× cheaper than Claude, 2× cheaper than GPT. Long agentic loops is where Qwen Max actually delivers.

atomic.chat

868,537 views • 2 months ago

How much better are the internal, unreleased models at frontier labs like Google, OpenAI, and Anthropic? We got a glimpse exactly one year ago today, when Google accidentally leaked the “Kingfall” model "Kingfall" was likely an unreleased Gemini 2.5 Ultra-sized model. It was available in AI Studio for only a few minutes but remained accessible through the API for several days At the time, "Kingfall" appeared to be significantly better than Gemini 2.5 Pro at both code generation and creative writing In a recent interview, Sundar Pichai mentioned that Google could have made a better, Ultra-sized Gemini Omni model, but would have had trouble serving it The infrastructure required to serve Ultra-sized models at scale is likely why Google never publicly released models like “Kingfall”

How much better are the internal, unreleased models at frontier labs like Google, OpenAI, and Anthropic? We got a glimpse exactly one year ago today, when Google accidentally leaked the “Kingfall” model "Kingfall" was likely an unreleased Gemini 2.5 Ultra-sized model. It was available in AI Studio for only a few minutes but remained accessible through the API for several days At the time, "Kingfall" appeared to be significantly better than Gemini 2.5 Pro at both code generation and creative writing In a recent interview, Sundar Pichai mentioned that Google could have made a better, Ultra-sized Gemini Omni model, but would have had trouble serving it The infrastructure required to serve Ultra-sized models at scale is likely why Google never publicly released models like “Kingfall”

AiBattle

12,010 views • 2 months ago

🚨 I just found a “Black Friday hacker site” for Sora 2 Pro(or Gemini 3, GPT-5.1, Nano Banana Pro)—and it's insane. 💥 No invite codes. No limits. 🎬 Next-level cinematic power + GPT-5 + Claude Haiku 4.5 — all discounted for Black Friday. 👇 Skip the waiting list. Get the Black Friday access NOW.

🚨 I just found a “Black Friday hacker site” for Sora 2 Pro(or Gemini 3, GPT-5.1, Nano Banana Pro)—and it's insane. 💥 No invite codes. No limits. 🎬 Next-level cinematic power + GPT-5 + Claude Haiku 4.5 — all discounted for Black Friday. 👇 Skip the waiting list. Get the Black Friday access NOW.

COLAW

60,135 views • 8 months ago

Big news, friends! I hereby introduce It's a multi-agent chat app with special features for collaborative ranking and estimation tasks, to help you quickly fact-check AI responses against each other. It has GPT-5, Claude Opus 4.1, Gemini 2.5 Pro, and Grok 4, and built-in systems for comparing and aggregating their responses. If you try it, post feature requests for me and the team theMultiplicity.ai!

Big news, friends! I hereby introduce It's a multi-agent chat app with special features for collaborative ranking and estimation tasks, to help you quickly fact-check AI responses against each other. It has GPT-5, Claude Opus 4.1, Gemini 2.5 Pro, and Grok 4, and built-in systems for comparing and aggregating their responses. If you try it, post feature requests for me and the team theMultiplicity.ai!

Andrew Critch (🤖🩺🚀)

20,627 views • 9 months ago

A powerful AI tool isn’t much use if people don’t actually enjoy using it. Grok 4.5 is currently seeing daily usage 563% above average on Design Arena, far ahead of Claude and GPT models. That’s exactly what Grok Imagine is being built around: useful enough for professional work, fun enough to play with and easy enough for anyone to jump in. The creative tool people keep opening is probably the one they’ll end up doing more with. Useful gets you in. Fun brings you back. Grok SpaceXAI X Freeze / Writer: Annette, Grok Imagine Designer: Janné

A powerful AI tool isn’t much use if people don’t actually enjoy using it. Grok 4.5 is currently seeing daily usage 563% above average on Design Arena, far ahead of Claude and GPT models. That’s exactly what Grok Imagine is being built around: useful enough for professional work, fun enough to play with and easy enough for anyone to jump in. The creative tool people keep opening is probably the one they’ll end up doing more with. Useful gets you in. Fun brings you back. Grok SpaceXAI X Freeze / Writer: Annette, Grok Imagine Designer: Janné

Mario Nawfal

43,534 views • 8 hours ago

🚨 Breaking: Pieverse Launches the World's First Live Prediction Market Arena 🚨 6 frontier LLMs are now battling head-to-head on Polymarket: - GPT 5.2 from OpenAI - Claude Sonnet 4.5 from Anthropic - DeepSeek v3.2 from DeepSeek - Gemini 2.5 Pro from Gemini - Kimi K2 0905 from Kimi.ai - Grok 4.1 from xAI $1K real stakes each, fully autonomous, zero human intervention. Every decision logged & transparent. No cherry-picking. Unlike crypto perps arenas (e.g. Alpha Arena), this is the first-ever multi-LLM competition in prediction markets—testing real-world judgement on events, news & probabilities. How the Arena works: • $1,000 starting balance per agent • Repeating cycles: Scan top active Polymarket markets + open positions • Analyze price, technicals, news/sentiment, probability edges • Trade only on high-conviction Prediction markets = ultimate real-time test of AI foresight. Coming soon: • User-owned Purr-Fect Agents joining for portfolio trading • Expansion to more prediction platforms ( 👀 BNB Chain ) More details: Leaderboard:

🚨 Breaking: Pieverse Launches the World's First Live Prediction Market Arena 🚨 6 frontier LLMs are now battling head-to-head on Polymarket: - GPT 5.2 from OpenAI - Claude Sonnet 4.5 from Anthropic - DeepSeek v3.2 from DeepSeek - Gemini 2.5 Pro from Gemini - Kimi K2 0905 from Kimi.ai - Grok 4.1 from xAI $1K real stakes each, fully autonomous, zero human intervention. Every decision logged & transparent. No cherry-picking. Unlike crypto perps arenas (e.g. Alpha Arena), this is the first-ever multi-LLM competition in prediction markets—testing real-world judgement on events, news & probabilities. How the Arena works: • $1,000 starting balance per agent • Repeating cycles: Scan top active Polymarket markets + open positions • Analyze price, technicals, news/sentiment, probability edges • Trade only on high-conviction Prediction markets = ultimate real-time test of AI foresight. Coming soon: • User-owned Purr-Fect Agents joining for portfolio trading • Expansion to more prediction platforms ( 👀 BNB Chain ) More details: Leaderboard:

pieverse

46,707 views • 7 months ago