Feature request: Support for parallel thinking. #1625

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opened 2026-02-16 17:31:49 -05:00 by yindo · 4 comments
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Originally created by @mittalsuraj18 on GitHub (Sep 6, 2025).

Originally assigned to: @thdxr on GitHub.

Parallel thinking approaches have shown to perform extremely well. OpenAi and gemini both won the gold rank in IMO using this approach. But these techiques are expensive to implement.

However a new research paper makes it much more efficient, https://jiaweizzhao.github.io/deepconf/static/htmls/code_example.html.

There is already a python implementation of this paper available at https://github.com/martianlantern/ThinkMesh.

Considering that the newer GROK code fast 1 models have very high token/sec speed, this technique can be clubbed with the models to improve the performance.

Originally created by @mittalsuraj18 on GitHub (Sep 6, 2025). Originally assigned to: @thdxr on GitHub. Parallel thinking approaches have shown to perform extremely well. OpenAi and gemini both won the gold rank in IMO using this approach. But these techiques are expensive to implement. However a new research paper makes it much more efficient, https://jiaweizzhao.github.io/deepconf/static/htmls/code_example.html. There is already a python implementation of this paper available at https://github.com/martianlantern/ThinkMesh. Considering that the newer GROK code fast 1 models have very high token/sec speed, this technique can be clubbed with the models to improve the performance.
yindo closed this issue 2026-02-16 17:31:49 -05:00
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@mittalsuraj18 commented on GitHub (Sep 7, 2025):

There is another repo which does this. albeit they do it in a different way by using the model itself to generate parallel thinks. this looks much more simpler from an implementation pov as we can create agent directly in opencode.

https://github.com/ryoiki-tokuiten/Iterative-Contextual-Refinements

Gemini flash model itself gives amazing results with these

@mittalsuraj18 commented on GitHub (Sep 7, 2025): There is another repo which does this. albeit they do it in a different way by using the model itself to generate parallel thinks. this looks much more simpler from an implementation pov as we can create agent directly in opencode. https://github.com/ryoiki-tokuiten/Iterative-Contextual-Refinements Gemini flash model itself gives amazing results with these
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@rekram1-node commented on GitHub (Sep 7, 2025):

thx for sharing

@rekram1-node commented on GitHub (Sep 7, 2025): thx for sharing
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@rekram1-node commented on GitHub (Dec 27, 2025):

[automated] Closing due to 90+ days of inactivity. Feel free to reopen if you still need this!

@rekram1-node commented on GitHub (Dec 27, 2025): [automated] Closing due to 90+ days of inactivity. Feel free to reopen if you still need this!
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@mittalsuraj18 commented on GitHub (Jan 9, 2026):

I would have loved to have some implementation of this. But i understand that there are other things to work on.
Thanks for considering it :)

@mittalsuraj18 commented on GitHub (Jan 9, 2026): I would have loved to have some implementation of this. But i understand that there are other things to work on. Thanks for considering it :)
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Reference: anomalyco/opencode#1625