Meet Drex Max: Nace AI’s Multimodal Resolution Mannequin for Pc-Use Brokers with a Rating 67.59

Nace AI has released Drex Max, a multimodal choice mannequin for brokers that use computer systems and browsers. The Drex Max multimodal choice mannequin reads textual content and pictures and returns calibrated possibilities. It writes no textual content. Nace group experiences 67.59 on the public Decision Index 0.3.2, 6.9 factors above TypeSafe’s Jev 1.14. For agent builders, which means one low-cost, typed name per click on.

TL;DR

Measurement: Parameters not disclosed. As much as 262,144 tokens per question on the API, together with picture tokens.
Runs on: Hosted API solely (drex-max on Nace Console). No open weights or quantized builds introduced.
Efficiency: 67.59 on Resolution Index 0.3.2 (public), the highest rating Nace lists for any choice mannequin.
Finest: 98.2 on BFCL instrument calling, and 92.2 on JevBench versus 86.7 for Jev 1.14.
Worst: 19.0 on HLE, and 72.5 on MMLU-Professional versus 82.1 for Jev 1.14.

What’s Drex Max?

Drex Max is a choice mannequin from Nace AI that solutions typed questions on textual content and pictures. It’s the most accurate model in the Drex family, and the one one which reads photos.

A call mannequin doesn’t generate tokens. You ship a state and named questions. Every query is one among 3 sorts: noul (sure/no), alternative (choose a label) or rating (ordered scale). The mannequin returns a probability distribution for each answer in 1 HTTP name. Drex can solely reply with the choices you gave it.

How does Drex Max work with photos?

Drex Max makes use of the identical POST /v1/systemone endpoint as each Drex mannequin. You choose it with "mannequin": "drex-max". It’s a pinned ID, so drex-latest doesn’t path to it.

Photographs go in an photos array. Each query sees the identical photos, earlier than the state and questions. You discuss with them as ‘Picture 1’ and ‘Picture 2’ in plain textual content. Every entry is both an uploaded workspace file or inline base64.

Key picture guidelines from the Drex Max guide:

Codecs: nonetheless PNG, JPEG or WebP.
As much as 8 photos per request, 16 MiB every, 32 MiB complete.
Every picture is resized to at most 1,638,400 pixels (1,280 × 1,280).
Every picture prices as much as 1,602 tokens in each query.
As much as 16 questions per request, with a 4 MiB request physique.

How does Drex Max carry out on benchmarks?

All scores beneath come from Nace’s Drex page. They’re self-reported. Nace says Drex trains on the index’s official coaching splits and is scored on held-out splits.

Resolution benchmarks: Drex Max scores 67.6 on the general public Resolution Index 0.3.2. Jev 1.14 scores 60.7 and Drex 2.0 scores 61.3. On JevBench, Drex Max reaches 92.2 towards 86.7 for Jev 1.14.
Agentic benchmarks: Drex Max posts 0.780 on OSWorld-Verified and 98.2 on BFCL. It scores 85.2 on When2Call and 84.8 on RAGTruth.
Imaginative and prescient: On the Resolution Index Imaginative and prescient public suite, Drex Max scores 74.5. GPT-6 Luna Choices scores 63.9. Mind2Web reaches 88.6 and InfographicVQA reaches 98.8.
The place it trails: Jev 1.14 leads on MMLU-Professional (82.1 vs 72.5), HLE (19.4 vs 19.0) and ARC-Problem (97.6 vs 97.4). On Hateful Memes, Drex Max trails GPT-6 Luna Choices, 70.6 vs 71.2.

<div class="tabs" function="tablist">
<button class="tab" function="tab" aria-selected="true" data-t="move">The way it works</button>
<button class="tab" function="tab" aria-selected="false" data-t="bench">Benchmarks</button>
<button class="tab" function="tab" aria-selected="false" data-t="vs">vs Jev 1.14</button>
<button class="tab" function="tab" aria-selected="false" data-t="lim">API limits</button>
<button class="tab" function="tab" aria-selected="false" data-t="price">Value calculator</button>
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<div class="pn on" data-p="move">
<div class="move">
<div class="node" data-n="0"><h4>1 · Enter</h4>
<p><code>state</code>: textual content or JSON</p>
<p><code>photos</code>: as much as 8, nonetheless PNG / JPEG / WebP</p>
<div class="imgs"><span></span><span></span><span></span></div>
</div>
<div class="arr"><i></i></div>
<div class="node" data-n="1"><h4>2 · Questions</h4>
<p><code>noul</code> sure / no</p>
<p><code>alternative</code> choose a label</p>
<p><code>rating</code> ordered scale</p>
<p type="colour:#a8a29e">As much as 16 per request</p>
</div>
<div class="arr"><i></i></div>
<div class="node" data-n="2"><h4>3 · Reply</h4>
<p type="margin-bottom:4px">"Which button subsequent?"</p>
<div class="prob"><em>search</em><div class="b"><u data-w="81"></u></div><b>0.81</b></div>
<div class="prob"><em>cart</em><div class="b"><u data-w="12"></u></div><b>0.12</b></div>
<div class="prob"><em>again</em><div class="b"><u data-w="7"></u></div><b>0.07</b></div>
</div>
</div>
<p class="cap" id="mtp-cap"></p>
<div class="ctl">
<button class="btn" id="mtp-prev"> Again</button>
<button class="btn pri" id="mtp-next">Subsequent step </button>
<button class="btn" id="mtp-play">Auto play</button>
<div class="dots"><i></i><i></i><i></i></div>
</div>
<p class="notice">Reply possibilities are an illustration of the response form, not actual mannequin output.</p>
</div>

<div class="pn" data-p="bench">
<div class="seg" id="mtp-seg">
<button class="on" data-s="di">Resolution Index</button>
<button data-s="ag">Agentic</button>
<button data-s="vi">Imaginative and prescient</button>
</div>
<div id="mtp-bars"></div>
<p class="notice" id="mtp-bnote"></p>
</div>

<div class="pn" data-p="vs">
<desk class="vs">
<thead><tr><th>Benchmark</th><th type="text-align:proper">Drex Max</th><th type="text-align:proper">Jev 1.14</th><th>Consequence</th></tr></thead>
<tbody id="mtp-vs"></tbody>
</desk>
<p class="notice">All figures from Nace’s Drex web page (self-reported). Jev 1.14 rejects 15.9% of screenshots by measurement, per Nace.</p>
</div>

<div class="pn" data-p="lim">
<div class="grid" id="mtp-lims"></div>
<p class="notice">Faucet a card for element. Supply: Nace Drex Max API information.</p>
</div>

<div class="pn" data-p="price">
<div class="calc">
<div>
<label for="mtp-dec">Choices per day: <b id="mtp-decv" type="colour:#f5f5f4">10,000</b></label>
<enter sort="vary" id="mtp-dec" min="1000" max="1000000" step="1000" worth="10000">
<label for="mtp-img">Screenshots per choice: <b id="mtp-imgv" type="colour:#f5f5f4">1</b></label>
<enter sort="vary" id="mtp-img" min="0" max="8" step="1" worth="1">
<label for="mtp-txt">Textual content tokens per choice (state + query): <b id="mtp-txtv" type="colour:#f5f5f4">500</b></label>
<enter sort="vary" id="mtp-txt" min="50" max="20000" step="50" worth="500">
</div>
<div class="out">
<small>Estimated every day price, higher sure</small>
<div class="large" id="mtp-cost">$0.00</div>
<small id="mtp-tok"></small>
<small type="margin-top:10px">Makes use of $0.06 per 1M enter tokens and the 1,602-token most per picture. Output tokens aren’t billed. Actual picture token counts might be decrease.</small>
</div>
</div>
</div>

<div class="ft">
<span class="src">Sources: <a href="https://www.nace.ai/drex" goal="_blank" rel="noopener">nace.ai/drex</a> · <a href="https://console.nace.ai/docs/drex/guides/drex-max" goal="_blank" rel="noopener">Drex Max information</a></span>
<a href="https://www.marktechpost.com" goal="_blank" rel="noopener">© Marktechpost</a>
</div>
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How briskly and the way low-cost is Drex Max?

Nace lists a 174 ms median per screenshot decision. Jev 1.14 takes 253 ms on the identical 243 questions. Nace says Drex Max accepts each screenshot measurement, whereas Jev 1.14 rejects 15.9% by measurement.

Throughout its benchmark desk, Nace experiences a 183 ms median latency. The launch submit cites 34 ms per choice and below 1 second at 262K tokens. These figures use completely different setups, so deal with them as separate claims.

Pricing is $0.06 per 1M input tokens. Output tokens aren’t billed. New accounts get $25 in signup credit, and failed requests price nothing.

How does Drex Max examine with different choice fashions?

Function	Drex Max	Jev 1.14	Drex 2.0	d3-flash
Developer	Nace AI	TypeSafe AI	Nace AI	vLLM Semantic Router
Parameters	Not disclosed	Not disclosed	35B total, about 3B active (MoE)	8.39B
Context	262,144 tokens per question	64K per request, 262K with long-context header	16,384 default, up to 131,072	Not disclosed
Inputs	Text, images	Text (TypeSafe docs)	Text	Text, images, video
License	Proprietary (hosted)	Proprietary (hosted)	Nace.AI Open RAIL-M	Apache-2.0
Resolution Index (public)	67.6 (0.3.2)	60.7 (0.3.2, per Nace)	61.25 (0.3.1)	57.8 (0.3.2)
Imaginative and prescient index (public)	74.5	Not disclosed	Not relevant	69.9
Value per 1M enter tokens	$0.06	$0.042	$0.06	Self-host, free trial
Runs on	Nace Console API	TypeSafe API	Single accelerator, bf16 about 70 GB	1 AMD Instinct MI325X tested

Notice: d3-flash’s imaginative and prescient determine is its personal analysis on the 0.3.2 imaginative and prescient board. Drex Max’s determine is Nace’s personal run. Cross-vendor numbers aren’t a managed comparability.

Key Takeaways

Drex Max is Nace AI’s first multimodal choice mannequin.
It scores 67.59 on Resolution Index 0.3.2, 6.9 above Jev 1.14.
Screenshot selections take 174 ms, versus 253 ms for Jev 1.14.
Pricing is $0.06 per 1M enter tokens, with output free.
Measurement is undisclosed, weights are closed, and scores are self-reported.

Try the Drex Max guide, the Drex product page and the launch post. Additionally learn our earlier protection of Drex 1.5. All credit score goes to the researcher of this challenge. Additionally, be at liberty to observe us on Twitter and don’t neglect to hitch our 150k+ML SubReddit and Subscribe to our Newsletter. Wait! are you on telegram? now you can join us on telegram as well.

The submit Meet Drex Max: Nace AI’s Multimodal Resolution Mannequin for Pc-Use Brokers with a Rating 67.59 appeared first on MarkTechPost.

Meet Drex Max: Nace AI’s Multimodal Resolution Mannequin for Pc-Use Brokers with a Rating 67.59

TL;DR

What’s Drex Max?

How does Drex Max work with photos?

Key picture guidelines from the Drex Max guide:

How does Drex Max carry out on benchmarks?

How briskly and the way low-cost is Drex Max?

How does Drex Max examine with different choice fashions?

Key Takeaways

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