Model comparison

Claude Sonnet 5 vs Grok 4.5

What we tested these two models on, what those tests found, and the published rates and limits that hold whatever the job is. Two jobs have a full write-up, and the ranking on the closest benchmark flips with the effort setting.

Aug 28, 2026 · 6 min read

How we compared them
One task at a time

We are not claiming one of these two is the better model. On the closest graded board the order changes with the effort setting, which is reason enough not to name a winner from a chart.

Two jobs have a full write-up behind them, and fourteen further articles put one of these two models against a different one. The cards below open both jobs, and the index further down lists the rest, so nothing here has to be taken on trust. Where a row rests on a vendor describing its own model rather than on a measurement, it says so.

What we compared is set out underneath. First the published rates and limits both models bring to any job, then the model-level dimensions where a board or a documented capability separates these exact versions. Those hold whatever you are doing. Which of the two to reach for does not, which is why the jobs come first.

One thing to be clear about before the tables. This page compares the two models through their APIs in one neutral setup, not the apps around them, so a sending tool or a newsletter platform is not part of anything here.

By the job
Which model wins which work

Neither model wins in general, so this pair is settled one job at a time. Each card names a job we tested, says which model took it and why, and opens the full test behind that answer. Two jobs on this pair have that test so far, and the index further down carries the rest of the library.

The shared facts
What each one costs and holds

The published figures both models bring to any job. The last column reads them for the pair rather than for one task.

Spec
Claude Sonnet 5
Grok 4.5
Why it matters
Context window
1,000,000 tokens
500,000 tokens
Twice the room on the Sonnet side, which only decides something when one request carries an unusually large dossier34
List price
$2 in / $10 out per million
$2 in / $6 out per million, up to 200,000 input tokens
The input rate is identical on both sides and Grok is well under half the price on output12
Long-context price
Standard rate across the full window
$4 in / $12 out per million above 200,000 input tokens
Grok's rates double past the threshold while Sonnet 5 holds one rate - the gap narrows rather than closing12
Reasoning effort
Effort low through max with adaptive thinking setting depth inside it
Low medium or high and cannot be turned off
Grok always reasons to some degree, so a short mechanical call costs more than it needs to36

Figures from Anthropic and xAI documentation, both re-fetched at the source on 28 August 2026. The two vendors count tokens differently, so cross-model cost arithmetic is directional.

Head to head
How they compare beyond one task

The general layer, underneath the jobs above. The first row is the reason this page refuses a headline verdict: the same benchmark ranks the pair differently depending on how each model was configured.

Dimension
Better choice
Why the edge exists
Best evidence
Graded knowledge work
Depends on the effort setting
The board grades professional deliverables built from fragmented sources. Sonnet 5 leads it at maximum effort and trails at high against Grok at high, so the configuration decides the ranking rather than the model
Sonnet 5 at 1,383 max and 1,193 high against Grok 4.5 at 1,313 high7
Broad capability
Grok 4.5, by one point
A composite across reasoning, coding and knowledge at each model's top setting. One point is inside the range where prompt shape decides the outcome, so read it as a tie
An index of 56 against 5589
Tokens spent reaching that score
Grok 4.5
The same index records how much output each model produced to get there, and the Sonnet run used about five times as much. That is a reason not to leave maximum effort on for short copy
About 60 million output tokens against about 300 million89
Following a stated rule literally
Claude Sonnet 5, documented
Anthropic describes literal instruction-following and advises stating when a rule covers every section, which is what separate limits for an opener and each follow-up need. Documented behaviour rather than a measured result
Anthropic's documented literalism and scope advice5
Price at volume
Grok 4.5
The same input rate on both sides with an output rate well under half, and output is where a batch of drafts lands. Above 200,000 input tokens Grok re-prices and Sonnet 5 does not
$6 out against $10 at ordinary lengths and $4 / $12 against a flat $2 / $10 above the threshold21
Cost of a short mechanical call
Claude Sonnet 5
Its effort can be set low for a job that needs no thinking at all, where xAI documents Grok's reasoning as reducible but not switchable off
Grok's reasoning is high by default and reducible to low63
Holding a specific brand voice
No published evidence
Nothing public grades either version on register or house voice. The livelier draft is a hypothesis to check on your own copy rather than a model fact
No exact-version register test on either board78

The index and benchmark figures were re-fetched on 28 August 2026. They moved since the cold-outreach page was written, which is corrected on that page in the same change, and they are not on a machine schedule, so they can move again.

Everything we tested
Both models across the library

Every article on this site that puts one of these two models under a graded test, grouped by model. The two on this exact pair are the cards higher up the page.

Where else we tested Claude Sonnet 5

Where else we tested Grok 4.5

What this cannot tell you
Where the evidence runs thin

The one graded board that covers this pair ranks it two different ways depending on configuration, and nothing public grades the question both task pages actually turn on.

Take the effort setting seriously before reading any chart about these two. Claude Sonnet 5 scores 1,383 at maximum effort and 1,193 at high on the same knowledge-work board, and Grok 4.5 sits at 1,313 between them, so a comparison that names one winner has chosen a setting on your behalf. The composite index separates them by a single point, which is a tie, and the Sonnet run spent about five times the output tokens getting there.

What nothing public covers is voice. Neither board grades whether a model holds a stated register - warm but not chatty, direct but not pushy - which is the whole question on an outreach email and an all-hands update alike. Both task pages say so and both end with a blind test on your own copy for exactly that reason.

Playgram is not the right buy for everyone either. If one person needs one model and nothing else, a single vendor subscription is simpler and cheaper than a workspace built for a team.

The safest last step is to test the shape of your own material rather than a generic prompt from the internet. A fair test needs the same setup on both sides: the same sources, the same prompt and the same place to run them, so the result reflects the models and not the tool around them. In practice that is harder than it sounds, because most teams end up running one model in one app and the other somewhere else on a separate subscription, which tilts the comparison before the first answer arrives. The cleaner the setup, the more the difference you see is really Claude Sonnet 5 against Grok 4.5.

Run the comparison yourself
Right here inside Playgram

One workspace makes the day-to-day version of this easy. You put a brief in front of each model, read the two answers next to each other, and pass the work from one to the other without setting anything up twice.

Try it on three jobs you already have: a first email to someone who has never heard of you, a month of team updates that has to become one readable note, and a short post that has to sound like your company and not like a model. Paste the notes and the examples in once, put the same request to the latest Claude and Grok models, and keep going with whichever answer is closer instead of starting over for a second opinion.

The same memory then travels with the team, over the latest GPT, Claude, Gemini and Grok models and many more, all in one place, with retired models turned off and new ones added as they ship10.

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Frequently asked
questions

Two jobs so far, and both are cards below: a cold outreach email to someone who did not ask to hear from you, and an internal newsletter assembled from many team updates. Fourteen further articles put one of these two models against a different one, and the index further down lists them. Beyond that the page reports published rates, limits and the two boards that score these exact versions.

Because effort is a setting rather than a property. On the closest graded knowledge-work board Claude Sonnet 5 scores 1,383 at maximum effort and 1,193 at high, against Grok 4.5's 1,313 at high. So Sonnet leads at one configuration and trails at another, and any headline chart that names a winner has quietly picked a setting for you. Decide the effort level first and read the board second.

Well under half on output, which is where a batch of variants lands. Input is matched at $2 per million. Grok charges $6 per million output against Sonnet 5's $10 below 200,000 input tokens, and $4 and $12 above that threshold, while Sonnet 5 holds $2 and $10 across its full window. So Grok is the cheaper side on an ordinary prompt and the two converge on a very long one.

Rarely for this kind of work. Grok 4.5 publishes 500,000 tokens against Sonnet 5's 1,000,000, and a set of prospect notes or a quarter of team submissions does not come close to either. It becomes real only when one request carries an unusually large dossier or a long history of previous conversations.

Only Claude Sonnet 5. xAI documents Grok 4.5 as reasoning at high by default and reducible to low but not off, while Sonnet 5's effort runs from low upward with adaptive thinking setting depth inside it. On a short piece of copy that is a cost question rather than a quality one, since neither one needs deep reasoning to write three sentences.

No. Run the same prompt on both and compare the answers, or switch between them mid-conversation. You choose after reading both answers instead of guessing up front.

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