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2026-07-10 11:13 27d ago
2026-07-10 03:45 28d ago
Grok 4.5 offer 'Opus-class' performance on the cheap. So, where's the catch?
GLEN Glencore
FMP Stock News
Original source text
The obvious question about Grok 4.5 is whether a model priced at a fraction of its rivals delivers a fraction of the performance.

The answer, on the published evidence, is that the pricing is not the point.

SpaceX Corp (NASDAQ:SPCX) released the model on Tuesday, its first since absorbing xAI and agreeing to buy the coding tool Cursor for $60 billion.

Elon Musk described it as Opus-class, referring to Anthropic's flagship family, but faster, more token-efficient and lower cost.

Where it sits

The benchmarks tell a mixed story rather than a triumphant one.

On SpaceXAI's own published charts, Grok 4.5 beats Anthropic's Opus 4.8 on two of four coding benchmarks and loses on the other two.

Anthropic's Fable 5 leads most of those charts outright.

Independent evaluation from Artificial Analysis places Grok 4.5 fourth on its GDPval index for real-world agentic knowledge work, behind the latest Claude releases, with an Elo rating of 1543.

So it is not the most capable model available, and SpaceXAI's own data does not claim otherwise.

Why the price is not the story

Grok 4.5 costs $2 per million input tokens and $6 per million output tokens, against $5 and $25 for Opus 4.8.

But the sharper number is consumption, not price.

On one software engineering benchmark, Grok 4.5 completed tasks using an average of about 15,900 output tokens against roughly 67,000 for Opus 4.8, a gap of more than four times.

Tokens are the units of text a model processes and generates, and they are what customers actually pay for.

A model that charges less per token and uses far fewer of them compounds the savings twice over.

Artificial Analysis put the cost at $0.49 per completed task and described the model as sitting clearly on the frontier for performance against cost.

That is the answer to the value question: not half the model for half the price, but a slightly weaker model at a substantially lower total cost per job done.

What makes it different

Grok 4.5 was trained differently from most coding models.

Rather than learning only from static code, it absorbed real developer session data from Cursor, including debugging traces, multi-file changes and the corrections users made when the tool got things wrong.

That gives it a signal about how software actually gets fixed, not merely how it looks when finished.

It runs at about 80 tokens per second, supports a 500,000-token context window, and is built on a 1.5 trillion-parameter foundation trained across tens of thousands of Nvidia chips.

Its strengths, per the launch material, cluster around long-running agentic tasks: building applications end to end from a single prompt, working across multiple code repositories, and operating inside Word, Excel and PowerPoint.

It also topped a legal benchmark from Harvey, suggesting the training mix reaches beyond engineering.

The catch

Vendor benchmarks are vendor benchmarks, and independent testing is still thin.

Grok 4.5 is unavailable in the European Union until mid-July, and the Cursor acquisition has not yet closed.

Whether developers switch will depend on how the model behaves on their own work, not on cost per task in a chart.
2026-07-09 13:38 28d ago
2026-07-09 07:39 29d ago
Physical AI has reached commercialisation, but scaling remains the hard part, says Citi
GLEN Glencore
FMP Stock News
Original source text
Physical AI has moved from promise to commercial reality, but deploying robots at scale remains the industry's central challenge, according to Citi.

The conclusion follows the bank's fourth annual Robotics and Physical AI Leadership Conference, which gathered founders, investors and operators working at the frontier of the field.

The dominant theme, Citi said, was that commercialisation has arrived but scaling remains hard.

Participants drew a clear line between the promise of physical AI models and the operational reality of deploying them in unstructured, safety-critical environments such as warehouses and factories.

Demand tailwinds are building, according to the bank.

Labour shortages, the reshoring of manufacturing to domestic markets and favourable regulation are all accelerating enterprise appetite for automation.

Set against that, significant friction points persist.

Citi flagged data scarcity, talent constraints, battery limitations and high deployment costs as the key obstacles holding back wider rollout.

The bank also drew a distinction between where investor enthusiasm sits and where returns are actually being generated.

Humanoid robots are attracting significant investment excitement, but near-term returns are being driven by purpose-built autonomous mobile robots and specialised systems.

Citi pointed to warehouse automation specialist Locus Robotics and robotic logistics firm Dexterity as examples of companies delivering measurable results today.

The distinction matters for investors weighing the hype around general-purpose humanoids against the proven economics of machines designed for specific tasks.

The conference reinforced Citi's view that physical AI is a decade-long buildout rather than an overnight revolution.

Durable value, the bank argued, will accrue to companies that own the data flywheel, meaning those whose deployed machines continuously generate the training data that improves their models.

Solving real deployment problems and meeting the highest safety standards will separate winners from the rest, Citi concluded.
2026-06-25 11:56 1mo ago
2026-06-25 03:08 1mo ago
Tertiary Minerals begins largest Zambian drill programme at A1 silver discovery
GLEN Glencore
FMP Stock News
Original source text
Tertiary Minerals PLC (AIM:TYM, OTC:TTIRF, FRA:TMU), the junior exploration company, has started drilling at its Target A1 silver oxide discovery within the Mushima North project in northwest Zambia.

The 4,000-metre reverse circulation programme is the largest the company has undertaken in Zambia to date.

Work is intended to support a maiden mineral resource estimate at Target A1, where Tertiary has already reported an exploration target of between 15 and 30 million tonnes at a grade of 40 to 60 grams per tonne of silver equivalent.

That equates to a target of up to 58 million ounces of silver equivalent, measured against the JORC code, the Australasian standard for reporting mineral resources.

The effort will also test extensions to the known mineralisation and provide initial drilling at two further prospects, Target A1 west and Target A2.

Target A1 is a near-surface, tabular body roughly 500 metres long, 300 metres wide and up to 75 metres thick, and remains open to the northwest, southwest and at depth.

The mineralisation is also associated with elevated levels of bismuth, antimony and gallium, though these have yet to be fully investigated.

Holes will be drilled to a vertical depth of up to about 125 metres, with the programme expected to take six to 12 weeks to complete.

Samples will first be analysed on site using a portable X-ray fluorescence analyser, with selected intervals sent to a certified external laboratory, and the first assay results are expected six to eight weeks after the initial batch is submitted.

Richard Belcher, managing director, said the programme aimed both to define a resource and to test possible extensions of the mineralisation.

The project sits 28 kilometres east of the historic Kalengwa copper mine, one of the highest-grade copper deposits ever mined in Zambia, which is currently under redevelopment.
2026-06-25 11:56 1mo ago
2026-06-25 04:51 1mo ago
Miners Hochschild and Fresnillo lead FTSE falls as gold pullback deepens
GLEN Glencore
FMP Stock News
Original source text
Hochschild Mining PLC (LSE:HOC) and Fresnillo PLC (LSE:FRES) led London's mining sector lower on Thursday as falling gold and silver prices hit precious metals producers.

Hochschild fell 1.8%, Endeavour Mining PLC (LSE:EDV) lost 1.8%, Pan African Resources PLC (LSE:PAF) shed 1.5% and Fresnillo dropped 1.3% in early trading.

The declines came as gold slipped 0.6% to $3,975 an ounce, falling below the $4,000 mark for the first time since November, while silver fell 1.2% to $56.70 an ounce, having yesterday broken below $60 for the first time since December.

The weakness was concentrated among precious metals miners. More diversified groups were mixed, with Glencore PLC (LSE:GLEN) down 0.3%, Rio Tinto Ltd (LSE:RIO) little changed, Anglo American PLC (LSE:AAL) up 0.6% and Antofagasta PLC (LSE:ANTO) gaining 1%, helped by copper prices. Comex copper was up 0.6% to $5.9796 a pound.

Bullion has come under pressure as the US dollar strengthened to its highest level in more than a year as investors continued to price in interest rates remaining higher for longer. Higher rates raise the opportunity cost of holding non-yielding assets such as gold.

Patrick Munnelly, market analyst at Tickmill, said: "Gold is stabilising around $4,000/oz after briefly falling below that level for the first time since November. A stronger Dollar and higher-for-longer rate expectations have weighed on the metal, while the easing of Middle East risks has reduced safe-haven demand.

"The fact that gold is only stabilising, rather than rebounding strongly, suggests that the market is less concerned about geopolitical tail risk and more focused on real yields and the Dollar."

Chris Beauchamp, market analyst at IG, said the gold price was seeing its "largest pullback for four years".

"The parabolic move of late 2024, through 2025 and on into 2026 has firmly come unstuck. The bigger the party, the bigger the hangover, and gold is still working off its own exuberance... As the dollar keeps strengthening, there is more pain to come for gold."