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OPENAI 🔥: GPT-6.1 Sol Ultrafast is rolling out on ChatGPT Work, Codex, and the API. > GPT-6.1 Sol in Ultrafast mode is $12 per million input tokens and $60 per million output tokens. > Ultrafast mode delivers 8x faster speeds than Sol Standard. Ultrafast testing time 👀

🚨 AI News | TestingCatalog

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14,922 просмотров • 4 дней назад •via X (Twitter)

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At DevDay, OpenAI announced: - Their answer to Muse and Grokbot: Dots (although not free like Muse) - Their answer to Anthropic’s latest models: GPT-6.1-Sol - Their answer to Jev: The decision API They also announced ChatGPT Spaces and Ultrafast mode (at 6x cost) as well as everything being available in the cloud and an agents API (with computer use).

At DevDay, OpenAI announced: - Their answer to Muse and Grokbot: Dots (although not free like Muse) - Their answer to Anthropic’s latest models: GPT-6.1-Sol - Their answer to Jev: The decision API They also announced ChatGPT Spaces and Ultrafast mode (at 6x cost) as well as everything being available in the cloud and an agents API (with computer use).

Matt Wolfe

23,862 просмотров • 13 дней назад

personalized shopping with Astra is unbelievable I did something similar with GPT-5.6-Sol (not on ultrafast) and while Sol got the job done, Astra did a way better job on reproducing my like (face + body) and was ~4x faster (1 hr 33 min versus 4 hr 24 min)

personalized shopping with Astra is unbelievable I did something similar with GPT-5.6-Sol (not on ultrafast) and while Sol got the job done, Astra did a way better job on reproducing my like (face + body) and was ~4x faster (1 hr 33 min versus 4 hr 24 min)

Sarah Chieng

200,612 просмотров • 1 месяц назад

$GPT Astra vs. GPT-6.1 Sol and every previous Sol generation on the Mario test. Same prompt, same test. Astra still wins, finishing in just 15m 37s for $2.96. GPT-6.1 Sol took 34m 38s, more than twice as long, but cost just $0.64 and delivered the best result of any Sol model. Astra is still ahead, but 6.1 Sol is getting surprisingly close for a fraction of the price.$

GPT Astra vs. GPT-6.1 Sol and every previous Sol generation on the Mario test. Same prompt, same test. Astra still wins, finishing in just 15m 37s for $2.96. GPT-6.1 Sol took 34m 38s, more than twice as long, but cost just $0.64 and delivered the best result of any Sol model. Astra is still ahead, but 6.1 Sol is getting surprisingly close for a fraction of the price.

Luckey Faraday

33,047 просмотров • 12 дней назад

GPT-6 Sol and GPT-6 Luna, it’s your time to shine. Rolling out today in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu users.

GPT-6 Sol and GPT-6 Luna, it’s your time to shine. Rolling out today in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu users.

ChatGPT

1,114,658 просмотров • 20 дней назад

🚨 codex users!! We have a good and a bad news!! I used GPT-6.1 Sol at MAX and I got: - 2% weekly usage - 2.8 Million tokens - 52 mins of work The usage is GOOD!! You can use it for a LOT of work for only $20 Now the "BAD" news It is EXTREMELY SLOW!! And quality isn't great... (Check video) The city is smaller than what GPT-6 Astra built!! AND the car animations are lagging... I'd suggest using it as "implementor" and Astra as "orchestrator". NOTE: I used MAX because THAT is only on par with GPT-6 Astra.

🚨 codex users!! We have a good and a bad news!! I used GPT-6.1 Sol at MAX and I got: - 2% weekly usage - 2.8 Million tokens - 52 mins of work The usage is GOOD!! You can use it for a LOT of work for only $20 Now the "BAD" news It is EXTREMELY SLOW!! And quality isn't great... (Check video) The city is smaller than what GPT-6 Astra built!! AND the car animations are lagging... I'd suggest using it as "implementor" and Astra as "orchestrator". NOTE: I used MAX because THAT is only on par with GPT-6 Astra.

shownotover

90,186 просмотров • 13 дней назад

GPT-6.1 Sol Max vs Opus 5.5 just created an animation about OpenAI dots and how these agents actually work here is a simple promt that was created in less than one minute which model looks better

GPT-6.1 Sol Max vs Opus 5.5 just created an animation about OpenAI dots and how these agents actually work here is a simple promt that was created in less than one minute which model looks better

kepo

18,195 просмотров • 6 дней назад

PSA: Codex and ChatGPT Work are getting another usage reset. OpenAI says rate limits will reset twice in the next 24 hours for the GPT-5.6 Sol launch. If you have big tasks waiting, now is the time. Go full throttle.

PSA: Codex and ChatGPT Work are getting another usage reset. OpenAI says rate limits will reset twice in the next 24 hours for the GPT-5.6 Sol launch. If you have big tasks waiting, now is the time. Go full throttle.

Kai

64,674 просмотров • 3 месяцев назад

China is literally on 🔥 Baidu from China has launched ERNIE 4.5 and ERNIE X1 and it’s freaking cheap . Here is everything you need to know. ERNIE 4.5 - Native multimodal and Outperforms GPT 4.5 in multiple benchmarks at just 1% of GPT 4.5 price - OpenAI GPT 4.5 – Input: $75 / 1M tokens, Output: $150 / 1M tokens; - ERNIE 4.5 – Input: $0.55 / 1M tokens, Output: $2.20 / 1M tokens ERNIE X1 - A deep thinking reasoning model with multimodal capabilities on par with DeepSeek R1 at only half the price See it in action and check out the pricing details👇 📹 source : yiyan[.]baidu[.]com 1/6 ERNIE 4.5 is a multimodal which can take Audio files as well.

China is literally on 🔥 Baidu from China has launched ERNIE 4.5 and ERNIE X1 and it’s freaking cheap . Here is everything you need to know. ERNIE 4.5 - Native multimodal and Outperforms GPT 4.5 in multiple benchmarks at just 1% of GPT 4.5 price - OpenAI GPT 4.5 – Input: $75 / 1M tokens, Output: $150 / 1M tokens; - ERNIE 4.5 – Input: $0.55 / 1M tokens, Output: $2.20 / 1M tokens ERNIE X1 - A deep thinking reasoning model with multimodal capabilities on par with DeepSeek R1 at only half the price See it in action and check out the pricing details👇 📹 source : yiyan[.]baidu[.]com 1/6 ERNIE 4.5 is a multimodal which can take Audio files as well.

AshutoshShrivastava

324,324 просмотров • 1 год назад

Codex can now run Deepseek-v4- flash! There's a catch though. Deepseek's official setup switches your entire codex over to them, so your GPT models stop showing up at all. This is exactly what Codex Router is for. It adds models to the list instead of replacing them, so sol, grok, kimi and deepseek all sit in the same picker and i just grab whichever one suits the job. Deepseek v4-flash is $0.28 per million output tokens. opus 4.8 is $25. same picker, 89x apart. Links in the comment. setup's in the video 👇

Codex can now run Deepseek-v4- flash! There's a catch though. Deepseek's official setup switches your entire codex over to them, so your GPT models stop showing up at all. This is exactly what Codex Router is for. It adds models to the list instead of replacing them, so sol, grok, kimi and deepseek all sit in the same picker and i just grab whichever one suits the job. Deepseek v4-flash is $0.28 per million output tokens. opus 4.8 is $25. same picker, 89x apart. Links in the comment. setup's in the video 👇

Ziwen

145,018 просмотров • 2 месяцев назад

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 просмотров • 3 месяцев назад

GPT 5.6 Luna Max vs 5.6 Sol Medium… Yeah, it’s not even a question 😭 Sol on MEDIUM produced a much better result than Luna on MAX—and needed only around HALF the time. Same harness. Better generation. Faster result. Luna may be cheaper, but if you have the budget, I would absolutely use Sol. Saving money is not worth it when the weaker output creates hours of extra work later.

GPT 5.6 Luna Max vs 5.6 Sol Medium… Yeah, it’s not even a question 😭 Sol on MEDIUM produced a much better result than Luna on MAX—and needed only around HALF the time. Same harness. Better generation. Faster result. Luna may be cheaper, but if you have the budget, I would absolutely use Sol. Saving money is not worth it when the weaker output creates hours of extra work later.

OmedTheVibeCoder

100,863 просмотров • 2 месяцев назад

My plush octopus got a little too attached to me 😂🐙 Claude Opus 5.5 vs GPT-6.1 Sol I prefer Opus: fluffier fur and livelier tentacles. Both run right in the browser on WebGPU - no ready-made models or textures, just code, soft-body physics, and fur you can comb Unexpectedly, Opus was cheaper too. Sol usually costs several times less in my tests Estimated API cost: Opus - $15.21 Sol - $18.03 Fluffier and cheaper? Which one would you pick? 👀

My plush octopus got a little too attached to me 😂🐙 Claude Opus 5.5 vs GPT-6.1 Sol I prefer Opus: fluffier fur and livelier tentacles. Both run right in the browser on WebGPU - no ready-made models or textures, just code, soft-body physics, and fur you can comb Unexpectedly, Opus was cheaper too. Sol usually costs several times less in my tests Estimated API cost: Opus - $15.21 Sol - $18.03 Fluffier and cheaper? Which one would you pick? 👀

Vib3Coded

137,680 просмотров • 8 дней назад

all GPT models and DeepSeek 4.1 are FREE on ZansLab right now an Indonesian AI gateway just unlocked free access to every GPT model plus DeepSeek 4.1 for vibe coding, no top-up needed, just sign up what you get: > GPT-6 Astra free > GPT-6 Sol free > GPT-6 Luna free > GPT-5.6 Sol free > DeepSeek 4.1 free > and Claude models also available on the platform how to claim (under 2 min): step 1: go to step 2: sign up with email and password no card, no top-up needed step 3: create an API key from the API Keys page step 4: set base URL to works in any OpenAI-compatible client, Cursor, Claude Code, Codex, custom scripts step 5: pick a model and start vibe coding important: > this is a third-party proxy so don't send any sensitive data through it > free access reportedly lasts until next week per the source > these free tiers rarely stick around, grab it while it's up

all GPT models and DeepSeek 4.1 are FREE on ZansLab right now an Indonesian AI gateway just unlocked free access to every GPT model plus DeepSeek 4.1 for vibe coding, no top-up needed, just sign up what you get: > GPT-6 Astra free > GPT-6 Sol free > GPT-6 Luna free > GPT-5.6 Sol free > DeepSeek 4.1 free > and Claude models also available on the platform how to claim (under 2 min): step 1: go to step 2: sign up with email and password no card, no top-up needed step 3: create an API key from the API Keys page step 4: set base URL to works in any OpenAI-compatible client, Cursor, Claude Code, Codex, custom scripts step 5: pick a model and start vibe coding important: > this is a third-party proxy so don't send any sensitive data through it > free access reportedly lasts until next week per the source > these free tiers rarely stick around, grab it while it's up

Rivon

18,453 просмотров • 11 дней назад

I think I want to eat Sonnet’s tree 🍊😂 Claude Sonnet 5.5 vs GPT-6.1 Sol I’m going with Sonnet this time. The mandarins look juicier, the greens feel more natural, and the colors are more realistic overall. And that soft, bouncy wobble when you shake the tree makes me want to poke it Sol did a pretty good job too, especially for the price. But next to Sonnet, its tree looks more like shiny plastic than jelly Estimated API cost: Sonnet - $10.74 Sol - $4.01 Almost 2.7x the price. Would you pay extra for this look? 👀

I think I want to eat Sonnet’s tree 🍊😂 Claude Sonnet 5.5 vs GPT-6.1 Sol I’m going with Sonnet this time. The mandarins look juicier, the greens feel more natural, and the colors are more realistic overall. And that soft, bouncy wobble when you shake the tree makes me want to poke it Sol did a pretty good job too, especially for the price. But next to Sonnet, its tree looks more like shiny plastic than jelly Estimated API cost: Sonnet - $10.74 Sol - $4.01 Almost 2.7x the price. Would you pay extra for this look? 👀

Vib3Coded

18,445 просмотров • 10 дней назад

BREAKING 🔥: GPT-6 Astra has been officially announced and will roll out in the coming days. > Astra was pre-trained on more than 100,000 GPUs at Stargate, and GPT-5.6 Sol has been helping supervise its training. > "Across the plans, Astra will be included in the normal usage allocation, and you will be able to use 100% of it for Astra." AGI? 👀

BREAKING 🔥: GPT-6 Astra has been officially announced and will roll out in the coming days. > Astra was pre-trained on more than 100,000 GPUs at Stargate, and GPT-5.6 Sol has been helping supervise its training. > "Across the plans, Astra will be included in the normal usage allocation, and you will be able to use 100% of it for Astra." AGI? 👀

🚨 AI News | TestingCatalog

46,884 просмотров • 1 месяц назад

Grok 4.5 reached GPT-5.6 Sol level across 3 browser physics demos for free. Prompts were for robot combat, hydraulic pressing, and a canyon-jumping truck. Test was done on atomic chat (atomic.chat), a desktop app that runs LLMs locally. Each answer had to package rendering and physics inside self-contained HTML5 canvas code. These tasks force generated JavaScript to draw frames, apply gravity, detect collisions, and manage controls. 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) Physics demos expose a weakness that ordinary coding benchmarks often hide: a model can spend more tokens describing a richer scene while still failing the hard part, which is maintaining force, momentum, collision timing, and believable object behavior across frames. (Note, Grok 4.5 is currently free only through Grok Build and Cursor)

Grok 4.5 reached GPT-5.6 Sol level across 3 browser physics demos for free. Prompts were for robot combat, hydraulic pressing, and a canyon-jumping truck. Test was done on atomic chat (atomic.chat), a desktop app that runs LLMs locally. Each answer had to package rendering and physics inside self-contained HTML5 canvas code. These tasks force generated JavaScript to draw frames, apply gravity, detect collisions, and manage controls. 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) Physics demos expose a weakness that ordinary coding benchmarks often hide: a model can spend more tokens describing a richer scene while still failing the hard part, which is maintaining force, momentum, collision timing, and believable object behavior across frames. (Note, Grok 4.5 is currently free only through Grok Build and Cursor)

Rohan Paul

19,701 просмотров • 3 месяцев назад

Right now, you may not have access to models like GPT‑5.6 Sol, GPT‑4.6 Terra, GPT‑5.6 Luna, Claude Mythos 5, or Claude Fable 5. But you can run something surprisingly powerful today, locally, and completely free. in the next 10 mins on your 8 GB VRAM gaming laptop. Gemma 4 26B A4B QAT (MoE) delivers strong performance on a standard 8 GB VRAM GPU using Ollama, with no API, no usage limits, and no external dependencies. Out of the box, it reaches around 20 tokens per second without any optimizations. Only one command in your terminal: Ollama run gemma4:26b This means: Full offline capability (privacy by default) Zero recurring cost Competitive performance for many real world tasks Fast enough for interactive use on cheap consumer hardware If you're waiting for cutting edge cloud models, you're missing what is already practical today: a capable, local LLM that runs entirely on your own machine.

Right now, you may not have access to models like GPT‑5.6 Sol, GPT‑4.6 Terra, GPT‑5.6 Luna, Claude Mythos 5, or Claude Fable 5. But you can run something surprisingly powerful today, locally, and completely free. in the next 10 mins on your 8 GB VRAM gaming laptop. Gemma 4 26B A4B QAT (MoE) delivers strong performance on a standard 8 GB VRAM GPU using Ollama, with no API, no usage limits, and no external dependencies. Out of the box, it reaches around 20 tokens per second without any optimizations. Only one command in your terminal: Ollama run gemma4:26b This means: Full offline capability (privacy by default) Zero recurring cost Competitive performance for many real world tasks Fast enough for interactive use on cheap consumer hardware If you're waiting for cutting edge cloud models, you're missing what is already practical today: a capable, local LLM that runs entirely on your own machine.

Alok

65,387 просмотров • 3 месяцев назад

Comeback Journal Had to borrow SOL and got rekt all the way down to 0.7 SOL. Took a 0.5 SOL trade and scalped +0.2 SOL. Saturday, Aug. 2 – 12:59 AM Portfolio: 0.9 SOL By the end of Aug. 2... Back to 0 SOL. Aug. 3 0xW sent me 0.6 SOL because he made money from the NA shill. Thank you again. Started only risking 0.05–0.1 SOL per trade to protect capital. Built it back to 0.4 SOL. Then p sent me 1 SOL for the same reason. That genuinely helped me during survival mode. Portfolio: 1.4 SOL. Saw LMEOW at 40k. Put 0.5 SOL in, leaving me with 0.9 SOL on the sidelines. Yeah, I oversized, but I had that feeling. What made me buy wasn't the chart. The narrative made me extremely bullish. Volume kept increasing, and I kept seeing more smart wallets buying than selling. Sold 1.5 SOL around 255k. Then the timeline started pushing the "OG" coin again. Momentum died. Round-tripped a few SOL and finally sold my remaining 0.7 SOL around 114k. Turned that 0.5 SOL trade into roughly 2.2 SOL before closing the position. I still think splitting the attention between two coins as a marketing stunt hurts everyone involved. Btw LJC, a lot of traders look up to you. Encouraging more PvP because the "OG" needs marketing instead of letting the market naturally bag work only makes the trenches worse. If it wasn't for that in the back of my mind i could've been at 10 solana today, thanks. Aug. 3 – 12:04 PM Current portfolio: 3.1 SOL.

Comeback Journal Had to borrow SOL and got rekt all the way down to 0.7 SOL. Took a 0.5 SOL trade and scalped +0.2 SOL. Saturday, Aug. 2 – 12:59 AM Portfolio: 0.9 SOL By the end of Aug. 2... Back to 0 SOL. Aug. 3 0xW sent me 0.6 SOL because he made money from the NA shill. Thank you again. Started only risking 0.05–0.1 SOL per trade to protect capital. Built it back to 0.4 SOL. Then p sent me 1 SOL for the same reason. That genuinely helped me during survival mode. Portfolio: 1.4 SOL. Saw LMEOW at 40k. Put 0.5 SOL in, leaving me with 0.9 SOL on the sidelines. Yeah, I oversized, but I had that feeling. What made me buy wasn't the chart. The narrative made me extremely bullish. Volume kept increasing, and I kept seeing more smart wallets buying than selling. Sold 1.5 SOL around 255k. Then the timeline started pushing the "OG" coin again. Momentum died. Round-tripped a few SOL and finally sold my remaining 0.7 SOL around 114k. Turned that 0.5 SOL trade into roughly 2.2 SOL before closing the position. I still think splitting the attention between two coins as a marketing stunt hurts everyone involved. Btw LJC, a lot of traders look up to you. Encouraging more PvP because the "OG" needs marketing instead of letting the market naturally bag work only makes the trenches worse. If it wasn't for that in the back of my mind i could've been at 10 solana today, thanks. Aug. 3 – 12:04 PM Current portfolio: 3.1 SOL.

Nofelines 🐂🀄️

61,484 просмотров • 2 месяцев назад

GLM 5.2 INPUT FELL FROM $1.40 TO SEVEN CENTS PER MILLION IN NINETY DAYS • what it costs now > $0.07 per million input at the cheapest of 20 providers, a 95% drop in three months. > direct still lists $1.40 in and $4.40 out, with cached input at $0.26. > Same model, same weights, twenty-fold spread depending on the door you walk through. • the free way in > New accounts on get 20M tokens: > 744B MoE, 1M context, MIT weights you can also just download and self-host. Nobody announced this. It happened one provider at a time -> and the model itself never changed. Check which provider you are actually routed through before you top up anywhere ↓

GLM 5.2 INPUT FELL FROM $1.40 TO SEVEN CENTS PER MILLION IN NINETY DAYS • what it costs now > $0.07 per million input at the cheapest of 20 providers, a 95% drop in three months. > direct still lists $1.40 in and $4.40 out, with cached input at $0.26. > Same model, same weights, twenty-fold spread depending on the door you walk through. • the free way in > New accounts on get 20M tokens: > 744B MoE, 1M context, MIT weights you can also just download and self-host. Nobody announced this. It happened one provider at a time -> and the model itself never changed. Check which provider you are actually routed through before you top up anywhere ↓

slash1s

30,276 просмотров • 2 месяцев назад

Holy moly: GLM-5.3 got much better in cybersecurity since our pre-release evaluation with Z.ai. It now matches GPT-5.6-Sol on our cybersecurity benchmark at 0.4x the cost 🤯 - At pass@1: it went from 60.4% to 65.6% CVEs rediscovered, crushing every other open model on one-shot tasks - At pass@3: it did 75% -> 78.1%, matching GPT-5.6-Sol - Its precision remained stable, reporting fewer false positives than DeepSeek models The performance increase comes from a behavioral change: the new version is more persistent. It tends to run longer, and had a ~43% reasoning tokens increase. But the performance upgrade is worth that additional cost. 1/3 🧵

Holy moly: GLM-5.3 got much better in cybersecurity since our pre-release evaluation with Z.ai. It now matches GPT-5.6-Sol on our cybersecurity benchmark at 0.4x the cost 🤯 - At pass@1: it went from 60.4% to 65.6% CVEs rediscovered, crushing every other open model on one-shot tasks - At pass@3: it did 75% -> 78.1%, matching GPT-5.6-Sol - Its precision remained stable, reporting fewer false positives than DeepSeek models The performance increase comes from a behavioral change: the new version is more persistent. It tends to run longer, and had a ~43% reasoning tokens increase. But the performance upgrade is worth that additional cost. 1/3 🧵

pilvar (Philippe Dourassov)

34,641 просмотров • 1 месяц назад