Artificial Analysis grades AI models. It just launched version five of its scorecard. Claude Opus 5.5 now sits in first place. It scored 58 points. GPT-6 Astra sits close behind at 57.

The new scorecard changed its own rules. Old tests sat in public view. Any lab could train on those same questions. Version five hides most tests instead. Six in ten questions now stay private. A high score gets harder to fake that way.

Two tests are brand new this round. One grades real coding work inside a private code library. A human checks if a real coder would accept the fix. The other test grades science work in a text terminal. Both replace old tests every lab had already memorized.

Reaction on X moved fast. The announcement pulled 3,796 likes in one day. It drew 401 replies from builders who checked the math. A Hacker News thread about the update reached 57 points. That same thread gathered 65 comments within hours.

The new top spot lands at a loaded moment. Anthropic just filed papers to sell stock to the public. A model in first place helps that pitch. OpenAI will want its own model back on top next time.

Hidden tests cut two ways for readers. They stop a lab from training on the answer key early. They also stop any outside coder from checking the math alone. Readers must trust one private firm's grading now. That trade sits at the center of this month's benchmark fight.

Artificial Analysis also launched a second new tool today. It is called the Progress Index. It plots every major model since November 2022 on one scale. Readers can see how fast real skill moved over four years. GPT-6.1 Sol sits a bit lower, at 55 points. Gemini 4 Argon trails further back, at 50 points.

A coder posted the new AI index on Reddit. The post explains what changed in version five. Open models now trail closed ones by more. The gap grew from 3 points to 12. Kimi K3.1 Pro leads open models at 46 points. Its own weights stay unreleased for now. Released open models trail further behind, at 32 points. That is 26 points under the new leader.

Some readers doubt the index now. Most of its tests sit hidden from everyone. A hidden test blocks outside coders from checking the math. The post pulled 183 comments on Reddit today. Many readers argued over which labs gain the most. Others asked how a private test gets checked at all.

A Hacker News thread about the same update reached 57 points. That thread gathered 65 comments in a single day. The same update's post on X pulled 3,796 likes. It also drew 401 replies from curious readers.

The gap says something plain about AI labs today. Big labs now lead by a wider margin each month. Smaller, open projects must work harder to catch up. A single new test can reshape the whole leaderboard overnight.

FrontierCode 2.0 is one new coding test. It uses real code from open repositories. A reviewer judges if a real maintainer would accept the fix. Terminal-Bench-Science is the other new test. It grades science work done inside a plain terminal. Both tests replace older ones every lab had memorized.

The thread's top comment questioned the firm's grading choices. Another comment asked for the raw test questions. The firm says it keeps most questions private on purpose. That choice stops a lab from training on the answer key. It also stops outside coders from checking each score alone. Readers on Reddit split over whether that trade is fair. Open source coders want proof they can see and test. Businesses mostly want one trusted number to compare models by.

Anthropic just expanded its deal with the US government. The deal runs through an agency called the GSA. GSA buys goods and services for the federal government. Claude now costs 40% less for many government buyers. The discount covers Claude Enterprise, Claude for Government, and the API.

Anthropic says the deal could save $1 billion total. About 500 government groups already use Claude today. Weekly government users grew about eightfold since February. State, local, and tribal governments can now join too. Agencies pay only for what they actually use. The deal skips any minimum order size.

Anthropic's own post about the deal spread fast today. It pulled 1,641 likes within hours on X. The post drew 252 replies from readers.

A separate fight runs next to this deal. The Justice Department wants an old ban back. That ban would block Anthropic from some federal work. The two moves show how messy AI rules are right now.

One office cuts Anthropic a discount for more work. Another pushes to block some of that same work. Both moves happened in the same short run of days. Claude's reach inside government keeps growing either way. More agencies now test it on real daily tasks.

That growth gives Anthropic a strong story before its stock sale. A busy client list helps investors trust the pitch. Anthropic says it exists to help the public as well as investors. Critics want to see the savings show up in real bills. A discount on paper is one thing. Real savings show up later, in real bills paid.

Government budgets move slowly, so proof takes time. For now, the numbers point toward fast, real growth. Claude's use inside federal agencies grew about twentyfold in a year.

OpenAI wants to buy AI chips straight from Google. The news came from a report by The Information. Google calls its AI chip a TPU. TPU stands for tensor processing unit. OpenAI already rents those chips through Google's cloud. Buying its own chips would mark a bigger step.

Most AI labs buy chips from Nvidia instead. Nvidia chips cost more and stay hard to find. OpenAI wants a second supplier to lower that risk.

News of the deal spread fast on X today. One widely shared post pulled 793 likes in hours. It drew 47 replies from traders and coders alike. A second post on the same story pulled 737 likes. That post drew 106 replies of its own.

Google's stock moved on the news right away. Shares in Alphabet rose about 1% before the market opened. Alphabet reports its own earnings later today. Investors want to hear how much AI work costs Google.

Google and OpenAI both stayed silent on the report. Terms and the size of any deal stay unknown. The move still says something plain about AI today. Even rival labs now shop at each other's chip counters. A cheaper chip supply could lower prices for every user. It could also speed up how fast new models train.

Google still leads cloud deals of its own kind. It already powers Anthropic and other AI labs today. A chip sale would tie two rivals closer together. OpenAI is also hiring engineers to tune its models for TPUs. That hints at a serious, long term shift in plans. Markets read it as one more sign that AI demand stays strong. Every extra chip supplier matters when demand runs this high. The story also lands right before Alphabet's own earnings call. That timing alone kept traders watching the stock closely today.

A Redditor predicts a GPU price crash next year. The post appeared on r/LocalLLaMA early today. The poster points to several signs at once. One sign comes from a coder named Dax. Dax posted that one GB300 server rack can handle huge AI traffic. A single rack could serve almost all of OpenRouter's DeepSeek traffic. That post pulled 2,753 likes on X.

The poster says that server math shows chips outrun real demand. Data centers plan for far more AI use than firms actually need. The poster also points to stalled data center projects. Some big builds already sit cancelled or on hold. Smaller AI models now handle most everyday requests just fine. That shift lowers how many huge chips firms truly need.

The post argues cheap GPUs could follow within a year. That claim lands right after the RTX 5090's price near $10,000. Gamers already struggle to find that card on store shelves today. The timing struck many readers as a sharp contrast.

The post pulled 186 comments on Reddit so far. Some readers agreed that a crash feels overdue. Others doubt any crash comes soon at all. They argue AI demand still grows faster than new supply. Big labs keep signing huge, multi year chip contracts. Those contracts make a sudden price drop harder to picture.

The debate says something plain about AI chip prices right now. Today's buyers face sky high prices and empty shelves. Tomorrow's buyers, this poster argues, could face the opposite problem. Either way, the chip market keeps swinging between extremes.

Nvidia stays quiet about why supply remains so tight. Some reports claim workers overseas even strip old cards for parts. They rebuild those parts into dense AI server racks instead. That practice alone shows how tight the chip supply really is. A crash next year would flip that story completely.

Claude Opus 5.5 can now rebuild real programs from scratch. A benchmark called ProgramBench tests that exact skill. It hands a model a compiled program and its docs. The model must rebuild the program's source code from that alone. Tasks include real tools like SQLite, FFmpeg, and ripgrep. Claude Opus 5.5 now solves 18.5% of those tasks. Every model scored 0% when the test launched in May. That jump marks real, fast progress in under six months.

A tech newsletter called Import AI first reported the score. A Reddit poster shared that report on r/artificial today. The poster asked what the test truly measures. Rebuilding a program leans on patience as much as skill. A model must guess hidden logic from a compiled binary alone. Some replies called that a strong stand in for real engineering work. Others called it closer to a puzzle than a coding job.

The thread pulled 13 comments on Reddit so far. Claude Fable 5.1, a smaller sibling model, scored just 7.0%. That gap shows a wide split between Anthropic's own model sizes. The newsletter's author expects the test to fill up by late 2027. A full test stops telling anyone much once every model passes.

Coders on Reddit already asked what test should replace it next. The jump still says something plain about AI coding skill today. A task that stumped every model in May now yields real progress. Progress like this moves fast once one lab finds the right approach. Rivals will race to match that same score within months.

The benchmark's own site ranks every model side by side. Claude Opus 5.5 sits well clear of every rival on that list. Few outside coders have the coding skill to check each task. That keeps most readers trusting the benchmark's own scoreboard instead. For now, Claude's score stands as the best anyone has reached.