Pratik Dalal

Product @ Bespoke Labs

[Alex Dimakis @AlexGDimakis]

We added Gemini 4 Argon to our AutoResearchExam Pareto curve. It is 2-3 times cheaper compared to the other frontier models for almost the same ML engineering performance. Congratulations to the GDM team.

[Pratik Dalal @pratikdalal]

@npavlakis @madiator @bespokelabsai On the Decision Index public suite: Nimble-v4-max 68.46, Nimble-v4 63.70, Clef 61.71, Jev 57.96.

[Shreyas Pimpalgaonkar @sayshrey]

we just released a sota decision model on the decision index!

[Alex Dimakis @AlexGDimakis]

We are excited to announce Bespoke Nimble-v4, our decision models. Scoring 68.4 on the Decision index, ranking at no1 , +10.50 points over Jev 1.13.

[Pratik Dalal @pratikdalal]

@kartikb753 @madiator @bespokelabsai 50 pp is plain accuracy, so both count the same. When you split by type: picks a model that can’t serve the request →
Nimble-v4-max 0%
Nimble-v4 17%
Jev 1.13 57%

All our misses for Nimble-v4-max picked a model that qualified but cost more.

[Bespoke Labs @bespokelabsai]

The team cooked! Nimble-v4 and nimble-v4-max are pretty good models!

Please try it out via our API service: https://t.co/emUocaOZvH.

[Pratik Dalal @pratikdalal]

Nimble beats Jev in several use cases, in multiple domains.

[Pratik Dalal @pratikdalal]

Excited to announce Nimble, #1 decision model on public Decision Index... state of the art at 9B and 27B, outperforming Jev and other variants.

[Mahesh Sathiamoorthy @madiator]

Today, we are announcing Nimble-v4 and Nimble-v4-max which are pushing the frontier of decision models, outperforming Jev and other variants.

On the Decision Index public scores, nimble-v4-max and nimble-v4 score +10 and +6 against Jev 1.13, making nimble-v4-max the #1 model.

Beyond benchmarks, we have done a lot of internal evals, and see meaningful improvements: 43% fewer mistakes than Jev, 50pp improvement on model routing decisions, being great at coding use cases, fact checking etc.

The models are available via our API service.

Go build nimbly: https://t.co/nFnE4dn7OQ

[Mahesh Sathiamoorthy @madiator]

Today, we are announcing Nimble-v4 and Nimble-v4-max which are pushing the frontier of decision models, outperforming Jev and other variants.

On the Decision Index public scores, nimble-v4-max and nimble-v4 score +10 and +6 against Jev 1.13, making nimble-v4-max the #1 model.

Beyond benchmarks, we have done a lot of internal evals, and see meaningful improvements: 43% fewer mistakes than Jev, 50pp improvement on model routing decisions, being great at coding use cases, fact checking etc.

The models are available via our API service.

Go build nimbly: https://t.co/nFnE4dn7OQ

[Pratik Dalal @pratikdalal]

@bony_ghadiya_ Google

[Pratik Dalal @pratikdalal]

@sarfraj_ab75685 Skill

[Pratik Dalal @pratikdalal]

@fin465 Guide

[Pratik Dalal @pratikdalal]

@orchidsapp I'm interested.

[Pratik Dalal @pratikdalal]

@jspujji Sales

[Pratik Dalal @pratikdalal]

@StockOptions888 $1K

[SniperAlert @StockOptions888]

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[Pratik Dalal @pratikdalal]

@StockOptions888 Wow!

[Garry Tan @garrytan]

Intelligence is on tap now so agency is even more important

[Pratik Dalal @pratikdalal]

@sudu_cb @huggingface @SaveToNotion #thread

[Pratik Dalal @pratikdalal]

@sudu_cb @SaveToNotion #thread