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Grok 4.5 operates at Opus-level intelligence and Sonnet-level pricing! We tested it against Claude Opus 4.8, Sonnet 5, and GLM 5.2 on a SpaceX mission: liftoff, stage sep, orbit insertion, satellite deploy. Grok 4.5 animates it more accurately and vividly than Sonnet 5 and GLM 5.2. Opus is the... show more

GMI Cloud

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150,679 views • 1 month ago •via X (Twitter)

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we asked GLM 5.2 and Claude Opus 4.8 to find and fix the bugs in two different scripts while Opus 4.8 finished a few seconds faster in both tests, GLM 5.2 burned roughly 17k–38k fewer tokens and absolutely crushed it on cost, coming in 15x to 22x cheaper! Test 1: GLM 5.2 ($0.068) vs. Opus 4.8 ($1.06) Test 2: GLM 5.2 ($0.045) vs. Opus 4.8 ($1.02)

we asked GLM 5.2 and Claude Opus 4.8 to find and fix the bugs in two different scripts while Opus 4.8 finished a few seconds faster in both tests, GLM 5.2 burned roughly 17k–38k fewer tokens and absolutely crushed it on cost, coming in 15x to 22x cheaper! Test 1: GLM 5.2 ($0.068) vs. Opus 4.8 ($1.06) Test 2: GLM 5.2 ($0.045) vs. Opus 4.8 ($1.02)

GMI Cloud

86,444 views • 1 month ago

Grok 4.5 is a "Wow!" moment. 🤯 > Opus 4.8 & GPT-5.5 level on benchmarks > Costs less than Sonnet 5 Is that real? Hard to believe. Added Grok 4.5 as an implementer agent in fable-advisor. It replaces Sonnet 5. Use Fable as the orchestrator and a combo of: 1. Grok 4.5 2. Opus 4.8 3. GPT-5.5 As implementer agents. Uses the Grok Build CLI so if you log in with an X premium account you don't have to pay API fees.

Grok 4.5 is a "Wow!" moment. 🤯 > Opus 4.8 & GPT-5.5 level on benchmarks > Costs less than Sonnet 5 Is that real? Hard to believe. Added Grok 4.5 as an implementer agent in fable-advisor. It replaces Sonnet 5. Use Fable as the orchestrator and a combo of: 1. Grok 4.5 2. Opus 4.8 3. GPT-5.5 As implementer agents. Uses the Grok Build CLI so if you log in with an X premium account you don't have to pay API fees.

Dan McAteer

191,013 views • 1 month ago

We ran a test comparing GLM 5.2 vs Sonnet 5. We used the same prompt, with /design in the command code. The difference is big - effects, motion, and especially the footer. Sonnet 5 had nice hover effects, but didn't come close to GLM 5.2 GLM 5.2 wins on quality and pricing.

We ran a test comparing GLM 5.2 vs Sonnet 5. We used the same prompt, with /design in the command code. The difference is big - effects, motion, and especially the footer. Sonnet 5 had nice hover effects, but didn't come close to GLM 5.2 GLM 5.2 wins on quality and pricing.

Command Code

44,260 views • 1 month ago

CLAUDE SONNET 5 vs. CLAUDE OPUS 4.8 RESULTS Prompt: "build a single html landing page about claude sonnet 5, the new AI model that just dropped from Anthropic." Claude Sonnet 5: - Tokens Used: 20.9k input, 14.2k output - Total Cost: $3.36 - Time elapsed: 2m 11s Claude Opus 4.8 Ultracode: - Tokens Used: 96.3k input, 73.8k output - Total cost: $20.66 - Time Elapsed: 20m 15s I ran both of them in UltraCode mode via the CLI. I think in terms of quality of output, Opus won. In terms of model speed and cost, Sonnet 5 won. What are your thoughts? Comment down below who you think won!

CLAUDE SONNET 5 vs. CLAUDE OPUS 4.8 RESULTS Prompt: "build a single html landing page about claude sonnet 5, the new AI model that just dropped from Anthropic." Claude Sonnet 5: - Tokens Used: 20.9k input, 14.2k output - Total Cost: $3.36 - Time elapsed: 2m 11s Claude Opus 4.8 Ultracode: - Tokens Used: 96.3k input, 73.8k output - Total cost: $20.66 - Time Elapsed: 20m 15s I ran both of them in UltraCode mode via the CLI. I think in terms of quality of output, Opus won. In terms of model speed and cost, Sonnet 5 won. What are your thoughts? Comment down below who you think won!

Mark Santos

325,767 views • 1 month ago

"Its (Sonnet 5) performance is close to Opus 4.8, at lower prices." So I ran 4 canvas test through both. > Opus 4.8, 4/4 actually animating. > Sonnet 5, 2/4 came back as static images. And "lower price"? On the paper shredder task, Sonnet 5 spent $0.36 for a static image. Opus 4.8 spent $0.18 and it actually animated. The 4 tests: > Win 98 drag-to-BSOD > Self-typing keyboard + CRT > Letter burning > Paper shredder

"Its (Sonnet 5) performance is close to Opus 4.8, at lower prices." So I ran 4 canvas test through both. > Opus 4.8, 4/4 actually animating. > Sonnet 5, 2/4 came back as static images. And "lower price"? On the paper shredder task, Sonnet 5 spent $0.36 for a static image. Opus 4.8 spent $0.18 and it actually animated. The 4 tests: > Win 98 drag-to-BSOD > Self-typing keyboard + CRT > Letter burning > Paper shredder

stevibe

60,788 views • 1 month ago

Actual usage of SpaceXAI Grok 4.5. First person reports that there are programmers successfully replacing Opus and Sonnet in all of his systems today with Grok 4.5. Grok 4.5 worked great. Spending can drop 50-80%. $200-500 instead of $1000. Grok 4.5 is faster than Opus 4.8. Maybe 2 to 3 times faster. OpenAI GPT 5.6 is coming tomorrow and will be faster but more expensive than Grok 4.5. Grok 4.5 can own the low end of developer usage (pretty, efficient value and good enough). This could send Cursor-SpaceXAI enterprise revenue up from $4 Billion ARR to $8-15 billion ARR in 1-2 months. SpaceXAI Elon Musk

Actual usage of SpaceXAI Grok 4.5. First person reports that there are programmers successfully replacing Opus and Sonnet in all of his systems today with Grok 4.5. Grok 4.5 worked great. Spending can drop 50-80%. $200-500 instead of $1000. Grok 4.5 is faster than Opus 4.8. Maybe 2 to 3 times faster. OpenAI GPT 5.6 is coming tomorrow and will be faster but more expensive than Grok 4.5. Grok 4.5 can own the low end of developer usage (pretty, efficient value and good enough). This could send Cursor-SpaceXAI enterprise revenue up from $4 Billion ARR to $8-15 billion ARR in 1-2 months. SpaceXAI Elon Musk

nextbigfuture

50,072 views • 1 month ago

I couldn't believe the results of this benchmarking test. I blind-tested 6 frontier models — Sonnet 5, Opus 4.8, Fable 5, GPT 5.5, GLM 5.2, and Kimi 2.5 — on knowledge work, not engineering. Writing. Analysis. Design. Vibe coding. Subagent simulations. The stuff we actually do all day. Same prompts, each model running its own subagent, every output graded blind before the labels were revealed. The results: → GLM 5.2 (the dirt-cheap open-source model from China) took first → Sonnet 5 took second, beating Fable 5 for knowledge work → Opus 4.8 got whooped Then I had Composer 2.5 judge every output independently — and it picked Fable 5 almost across the board. My blind picks and the AI judge completely disagreed. Full breakdown, method, and prompts in the video below. Which model are you running as your daily driver right now?

I couldn't believe the results of this benchmarking test. I blind-tested 6 frontier models — Sonnet 5, Opus 4.8, Fable 5, GPT 5.5, GLM 5.2, and Kimi 2.5 — on knowledge work, not engineering. Writing. Analysis. Design. Vibe coding. Subagent simulations. The stuff we actually do all day. Same prompts, each model running its own subagent, every output graded blind before the labels were revealed. The results: → GLM 5.2 (the dirt-cheap open-source model from China) took first → Sonnet 5 took second, beating Fable 5 for knowledge work → Opus 4.8 got whooped Then I had Composer 2.5 judge every output independently — and it picked Fable 5 almost across the board. My blind picks and the AI judge completely disagreed. Full breakdown, method, and prompts in the video below. Which model are you running as your daily driver right now?

JJ Englert

10,737 views • 1 month ago

Are AI agents shape rotators? In this new benchmark, we let the models play campaign puzzles in Opus Magnum, a puzzle game by Zachtronics. Ironically, Claude Opus 4.8 performed poorly, being beaten by GPT-5.5, Gemini 3.5 Flash, and GLM 5.2. Claude Fable 5 crushed them all.

Are AI agents shape rotators? In this new benchmark, we let the models play campaign puzzles in Opus Magnum, a puzzle game by Zachtronics. Ironically, Claude Opus 4.8 performed poorly, being beaten by GPT-5.5, Gemini 3.5 Flash, and GLM 5.2. Claude Fable 5 crushed them all.

Rob Haisfield

498,486 views • 1 month ago

sonnet 5 vs sonnet 4.6 vs opus 4.8 vs glm 5.2 – frontend tasks dropped sonnet 5 into a quick test today. same three prompts to all four models, single-shot html/canvas, no edits: • objects falling on a trampoline • rockets playing tennis • a slingshot breaking bottles ranked by speed (total across the 3 tasks): 1. opus 4.8 – 15m 09s 2. sonnet 5 – 16m 05s 3. glm 5.2 – 27m 18s 4. sonnet 4.6 – 35m 06s ranked by code shortness (total loc): 1. sonnet 5 – 1794 2. opus 4.8 – 2063 3. sonnet 4.6 – 2182 4. glm 5.2 – 3285 sonnet 5 came out on top here – leanest code overall and a near-tie for fastest it was also the most creative. in every task it added something none of the others did: – kept the trampoline vibrating after the objects landed – drew a +1 next to the rocket that scored the point – turned the slingshot to face the next bottle before each shot opus 4.8 evaluated the code sonnet 5 produced. four things stood out: • the sphere is a fake, and that's the smart move. the cube and star are real 3d meshes with proper culling and shading, but the ball is just a flat shaded circle. a lit sphere looks identical from every angle, so building it in 3d would burn compute for zero visible payoff. knowing where not to bother is its own kind of skill • weight actually means something on the trampoline. the star is heavy, so it barely bounces and dents the mat hard. the ball is light, so it's lively and leaves a shallow dip. the three objects aren't just different shapes – they have different temperaments, and the physics is what gives them that • the slingshot is framed like a shot, not just drawn. the handle is anchored below the bottom of the screen and runs off-frame, so it reads as something you're holding rather than a sprite parked in the scene. that's a staging instinct, not a rendering one • the paddle ai forward-simulates the ball to predict where it'll land, then adds a deliberate error bias (roughly 1 in 5 shots is a real miss). that's why scoring looks natural instead of robotic – plus four distinct fault types with a catch-all so a rally never hangs without a result bottom line: sonnet 5 does more with less. fastest tier, leanest code, and the only one that added small touches nobody asked for follow thehype. for 24/7 ai news, analysis and breakdowns

sonnet 5 vs sonnet 4.6 vs opus 4.8 vs glm 5.2 – frontend tasks dropped sonnet 5 into a quick test today. same three prompts to all four models, single-shot html/canvas, no edits: • objects falling on a trampoline • rockets playing tennis • a slingshot breaking bottles ranked by speed (total across the 3 tasks): 1. opus 4.8 – 15m 09s 2. sonnet 5 – 16m 05s 3. glm 5.2 – 27m 18s 4. sonnet 4.6 – 35m 06s ranked by code shortness (total loc): 1. sonnet 5 – 1794 2. opus 4.8 – 2063 3. sonnet 4.6 – 2182 4. glm 5.2 – 3285 sonnet 5 came out on top here – leanest code overall and a near-tie for fastest it was also the most creative. in every task it added something none of the others did: – kept the trampoline vibrating after the objects landed – drew a +1 next to the rocket that scored the point – turned the slingshot to face the next bottle before each shot opus 4.8 evaluated the code sonnet 5 produced. four things stood out: • the sphere is a fake, and that's the smart move. the cube and star are real 3d meshes with proper culling and shading, but the ball is just a flat shaded circle. a lit sphere looks identical from every angle, so building it in 3d would burn compute for zero visible payoff. knowing where not to bother is its own kind of skill • weight actually means something on the trampoline. the star is heavy, so it barely bounces and dents the mat hard. the ball is light, so it's lively and leaves a shallow dip. the three objects aren't just different shapes – they have different temperaments, and the physics is what gives them that • the slingshot is framed like a shot, not just drawn. the handle is anchored below the bottom of the screen and runs off-frame, so it reads as something you're holding rather than a sprite parked in the scene. that's a staging instinct, not a rendering one • the paddle ai forward-simulates the ball to predict where it'll land, then adds a deliberate error bias (roughly 1 in 5 shots is a real miss). that's why scoring looks natural instead of robotic – plus four distinct fault types with a catch-all so a rally never hangs without a result bottom line: sonnet 5 does more with less. fastest tier, leanest code, and the only one that added small touches nobody asked for follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

14,518 views • 1 month ago

Grok 4.5 is first xAI model that win my heart 🫡 this is better then glm 5.2 and on par with current opus and gpt They cooked with the frontend too , like see this quality it made a website to showcase its benchmark and i asked it for water effects on background Elon Musk great job

Grok 4.5 is first xAI model that win my heart 🫡 this is better then glm 5.2 and on par with current opus and gpt They cooked with the frontend too , like see this quality it made a website to showcase its benchmark and i asked it for water effects on background Elon Musk great job

Chetaslua

49,068 views • 1 month ago

⚡️ JUST IN: MUSK LAUNCHES GROK 4.5, CALLING IT "OPUS-CLASS" AI MODEL Musk just released Grok 4.5 on Grok Build, Cursor, and the SpaceXAI Console, calling it an "Opus-class" AI model. He says it is faster, more token-efficient and lower cost, with EU access expected by mid-July. Built on a 1.5 TRILLION parameter foundation model, it drops the same day as OpenAI's GPT-5.6. API pricing is $2 per million input tokens and $6 per million output tokens.

⚡️ JUST IN: MUSK LAUNCHES GROK 4.5, CALLING IT "OPUS-CLASS" AI MODEL Musk just released Grok 4.5 on Grok Build, Cursor, and the SpaceXAI Console, calling it an "Opus-class" AI model. He says it is faster, more token-efficient and lower cost, with EU access expected by mid-July. Built on a 1.5 TRILLION parameter foundation model, it drops the same day as OpenAI's GPT-5.6. API pricing is $2 per million input tokens and $6 per million output tokens.

Coin Bureau

50,488 views • 1 month ago

I just had to make a new video of GLM-4.7-Flash - Helping me refactor VLLM studio - Did a data analytics report for work - Managed to search my tweets - Made me a fully playable Pacman in 1 shot - Great at browser use This model is too good to be this small, the full thing will fit on a macbook, it's fast, precise and can do pretty much anything Sonnet can. It somehow benches higher than Sonnet 4, 3.7, Opus 4.5 no thinking, all the GPT models from last year and more.

I just had to make a new video of GLM-4.7-Flash - Helping me refactor VLLM studio - Did a data analytics report for work - Managed to search my tweets - Made me a fully playable Pacman in 1 shot - Great at browser use This model is too good to be this small, the full thing will fit on a macbook, it's fast, precise and can do pretty much anything Sonnet can. It somehow benches higher than Sonnet 4, 3.7, Opus 4.5 no thinking, all the GPT models from last year and more.

0xSero

38,263 views • 6 months ago

Tip: Ask Claude Code Community to use adapters, feature flags, and interfaces for implementations. 1. Model releases improve rapidly: 2024 June: Sonnet 3.5 2024 Oct: Sonnet 3.6 2025 Feb: Sonnet 3.7 2025 May: Sonnet/Opus 4 2025 Sept: Sonnet 4.5 Design key components around interfaces to do seamless rewrites with stronger released models. Use adapters and feature flags to gradually roll out usage. 2. There's tremendous value in simply updating api to use `claude-sonnet-4-5`. But remembering timeless software abstractions allows for the entire application to improve with the model. 3. Use Claude 4.5 Sonnet beyond code—it's a powerhouse for daily tasks. Try the Claude Chrome extension for forms, calendars, emails, or automating expense reports. These capabilities build on Sonnet 4.5's enhanced agentic capabilities making it easier to integrate to daily life. 4. We're living in a truly magical era, together. Enjoy the moment.

Tip: Ask Claude Code Community to use adapters, feature flags, and interfaces for implementations. 1. Model releases improve rapidly: 2024 June: Sonnet 3.5 2024 Oct: Sonnet 3.6 2025 Feb: Sonnet 3.7 2025 May: Sonnet/Opus 4 2025 Sept: Sonnet 4.5 Design key components around interfaces to do seamless rewrites with stronger released models. Use adapters and feature flags to gradually roll out usage. 2. There's tremendous value in simply updating api to use `claude-sonnet-4-5`. But remembering timeless software abstractions allows for the entire application to improve with the model. 3. Use Claude 4.5 Sonnet beyond code—it's a powerhouse for daily tasks. Try the Claude Chrome extension for forms, calendars, emails, or automating expense reports. These capabilities build on Sonnet 4.5's enhanced agentic capabilities making it easier to integrate to daily life. 4. We're living in a truly magical era, together. Enjoy the moment.

Claude Code Community

14,042 views • 10 months ago

Grok 4.5 is out!!! here is what you need to know : On cursor bench it matched fable 5 high at 83% cheaper, although the ui generation feels similar to gpt 5.5 in a bad way. Important to note, cursor bench was LEAKED to grok 4.5 and may have skewed the results! My initial thoughts are this could be a insanely cheap opus 4.8 level model that runs insanely fast. Will you be using grok build?

Grok 4.5 is out!!! here is what you need to know : On cursor bench it matched fable 5 high at 83% cheaper, although the ui generation feels similar to gpt 5.5 in a bad way. Important to note, cursor bench was LEAKED to grok 4.5 and may have skewed the results! My initial thoughts are this could be a insanely cheap opus 4.8 level model that runs insanely fast. Will you be using grok build?

Max Blade

19,431 views • 1 month ago

Dropping a new AI benchmark: TetrisBench and a human vs AI Tetris arena 🕹️ See how you rank against the frontier models. Only 1 human has beaten a model so far, so try it out be the 2nd! Stats so far: Opus 4.5 > GPT5.2 > Sonnet > Grok > most humans 🧵

Dropping a new AI benchmark: TetrisBench and a human vs AI Tetris arena 🕹️ See how you rank against the frontier models. Only 1 human has beaten a model so far, so try it out be the 2nd! Stats so far: Opus 4.5 > GPT5.2 > Sonnet > Grok > most humans 🧵

Yoko

35,709 views • 6 months ago

We tested 11 frontier LLMs on 200 real human–AI conversations to measure emotional intelligence The result that surprised us: EQ doesn't scale with size or recency. Claude Haiku 4.5 beats Sonnet 4.6. Opus 4.6 performs better than 4.7 It's an orthogonal capability and labs aren't optimizing for it

We tested 11 frontier LLMs on 200 real human–AI conversations to measure emotional intelligence The result that surprised us: EQ doesn't scale with size or recency. Claude Haiku 4.5 beats Sonnet 4.6. Opus 4.6 performs better than 4.7 It's an orthogonal capability and labs aren't optimizing for it

faisal

11,534 views • 2 months ago

FREE Fable 5, Opus 4.8, Sonnet 5, and GPT-5.6 in one IDE. Alibaba built it, 520 credits at signup - one Sonnet 5 message eats 4. It's called Accio. Web or Windows desktop, both free. Registration takes 30 seconds via Google or email. Inside: → Fable 5 for creative and long-context work. → Opus 4.6 through 4.8 - the full Anthropic frontier lineup. → Sonnet 5 for speed and reasoning at pennies per message. → GPT-5.5 for OpenAI native tasks. → Gemini 3.1 Pro and 3.5 Flash for multimodal. Real math: 520 credits divided by 4 = 130 Sonnet 5 messages in your first week. Cheaper models drop that even further. Anthropic charges $20/month for the same access with weekly limits. Custom MCP support built in. Profile > Settings > MCP. Every agent workflow you've built for Claude Desktop ports over instantly. Setup: → Go to accio(.)com → Sign up with Google → 520 credits land automatically → Pick your model and start firing prompts Bookmark this before Alibaba puts it behind a paywall.

Atenov int.

31,157 views • 26 days ago

ANTHROPIC 🔥: Claude Opus and Sonnet models will soon become available on Claude Voice Mode! The new model selector has been hidden in the UI for roughly three weeks, defaulting to Haiku regardless of the selection. Today, it changed, and now it responds via Opus and Sonnet models. The system is still built on TTS; however, it handles interruptions super well and can operate Connectors! Access to a broader range of tools makes it much more capable than what ChatGPT is offering at the moment, yet usage might become a tricky topic, at least for high-effort reasoning.

ANTHROPIC 🔥: Claude Opus and Sonnet models will soon become available on Claude Voice Mode! The new model selector has been hidden in the UI for roughly three weeks, defaulting to Haiku regardless of the selection. Today, it changed, and now it responds via Opus and Sonnet models. The system is still built on TTS; however, it handles interruptions super well and can operate Connectors! Access to a broader range of tools makes it much more capable than what ChatGPT is offering at the moment, yet usage might become a tricky topic, at least for high-effort reasoning.

🚨 AI News | TestingCatalog

101,646 views • 20 days ago

🚨 AI Agents Can Now Embed Any App And Create Complex Visualizations Weekend launches are the best!! - AI agents can embed and use any app - do detailed system and engineering design - create 3D models for data-centers and scientific research We cleverly mix and match LLMs. Opus 4.8 combined with GLM 5.2 and GPT 5..5 Here is a video of the Abacus AI agent designing a 3D data center

🚨 AI Agents Can Now Embed Any App And Create Complex Visualizations Weekend launches are the best!! - AI agents can embed and use any app - do detailed system and engineering design - create 3D models for data-centers and scientific research We cleverly mix and match LLMs. Opus 4.8 combined with GLM 5.2 and GPT 5..5 Here is a video of the Abacus AI agent designing a 3D data center

Bindu Reddy

7,750,487 views • 1 month ago

Grok 4.5 might be the BEST model to run inside Hermes or OpenClaw RIGHT NOW. I've been sleeping on Grok to be honestNot anymore. It's more than 60% cheaper than Opus 4.8 and lands around $2.49 per task versus ~$12 for Fable in Claude Code. And it's fast. So what happens when you give Hermes + Grok 4.5 its own email, its own phone number, its own debit card, and access to every tool you use? You pretty much get an AI co-founder. Everything you need to know about Grok 4.5 + Hermes below. Full episode is available to watch at The Startup Ideas Podcast (SIP) 🧃 ( thanks Nick Vasilescu for coming on) I slept on Grok. Not sleeping on it anymore. Watch

Grok 4.5 might be the BEST model to run inside Hermes or OpenClaw RIGHT NOW. I've been sleeping on Grok to be honestNot anymore. It's more than 60% cheaper than Opus 4.8 and lands around $2.49 per task versus ~$12 for Fable in Claude Code. And it's fast. So what happens when you give Hermes + Grok 4.5 its own email, its own phone number, its own debit card, and access to every tool you use? You pretty much get an AI co-founder. Everything you need to know about Grok 4.5 + Hermes below. Full episode is available to watch at The Startup Ideas Podcast (SIP) 🧃 ( thanks Nick Vasilescu for coming on) I slept on Grok. Not sleeping on it anymore. Watch

GREG ISENBERG

254,254 views • 1 month ago