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# Blog

Research, comparisons, and updates on finetuning and inference, plus product and company news from the Maniac team.

All Posts

All PostsPlatform LandscapeModel LandscapeInference StacksLibraries & SDKsCompany Updates

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LLMsApr 12, 2026

## MiniMax M2.7 vs GLM 5.1 for long-horizon agents

For tool use, coding, and multi-step agent workflows, GLM 5.1 looks stronger on public benchmark rows, while MiniMax M2.7 is far cheaper to run.

![Dhruv Mangtani](/_next/image?url=%2Fimages%2Fblog%2Fauthors%2Fdhruv-mangtani.png&w=64&q=75)

Dhruv Mangtani

](/blog/minimax-m2-7-vs-glm-5-1-vals-benchmarks)[

AgentsApr 11, 2026

## OpenClaw vs. Hermes Agent vs. Maniac: Personal Automation, Agent Runtime, and Enterprise Copilot

OpenClaw is a powerful local-first stack for builders who want a 24/7 assistant on their own hardware. Hermes Agent is a runtime option for teams assembling their own agent stack. Maniac is a desktop copilot with 500+ built-in integrations, a recursive language model setup, and an open model tuned with reinforcement learning over time for real work.

![Dhruv Mangtani](/_next/image?url=%2Fimages%2Fblog%2Fauthors%2Fdhruv-mangtani.png&w=64&q=75)

Dhruv Mangtani

](/blog/openclaw-vs-hermes-agent)[

Model LandscapeApr 2, 2026

## Qwen 3.5 vs Gemma 4: the benchmark-by-size comparison

A deployment-class comparison of Qwen 3.5 and Gemma 4 that separates official model-card benchmark overlap from third-party Arena AI chat-preference evidence.

![Dhruv Mangtani](/_next/image?url=%2Fimages%2Fblog%2Fauthors%2Fdhruv-mangtani.png&w=64&q=75)

Dhruv Mangtani

](/blog/qwen-3-5-vs-gemma-4-benchmarks-by-size)[

VPCMar 25, 2026

## Private cloud and VPC AI agents: run frontier-quality automation without shipping data out of your network

ChatGPT and Claude run on their vendors’ clouds, not inside your VPC. Maniac’s agent platform lets you describe workflows and automations in natural language and run them on-premises or in your VPC so data and orchestration stay under your controls.

![Dhruv Mangtani](/_next/image?url=%2Fimages%2Fblog%2Fauthors%2Fdhruv-mangtani.png&w=64&q=75)

Dhruv Mangtani

](/blog/private-cloud-vpc-ai-agents)[

AgentsMar 22, 2026

## Introducing Agent Builder: infinite-context agents powered by Recursive Language Models

Agent Builder uses Recursive Language Models to give every agent unlimited context, code-augmented reasoning, and a dynamic execution graph, no static pipelines, no orchestration frameworks, no context window compromises.

![Dhruv Mangtani](/_next/image?url=%2Fimages%2Fblog%2Fauthors%2Fdhruv-mangtani.png&w=64&q=75)

Dhruv Mangtani

](/blog/introducing-agent-builder-infinite-context-rlm)[

LLMsMar 20, 2026

## Composer 2 vs Kimi K2.5 on coding benchmarks: what post-training is buying

Cursor's Composer 2 is widely understood to build on Kimi K2.5-style foundations with additional training. Here's how public coding benchmarks and Cursor's own API pricing compare, and what that suggests about the return on post-training.

![Dhruv Mangtani](/_next/image?url=%2Fimages%2Fblog%2Fauthors%2Fdhruv-mangtani.png&w=64&q=75)

Dhruv Mangtani

](/blog/composer-2-vs-kimi-k2-5-coding-benchmarks)[

ProductMar 10, 2026

## Introducing Analytics: Find Redundant LLM Calls and Cut Inference Costs with Embeddings

Maniac's new Analytics page automatically detects redundant LLM inputs using embedding similarity, measures workload specialization, and shows you exactly where to reduce token spend or switch to a fine-tuned model.

![Dhruv Mangtani](/_next/image?url=%2Fimages%2Fblog%2Fauthors%2Fdhruv-mangtani.png&w=64&q=75)

Dhruv Mangtani

](/blog/introducing-analytics)[

Model LandscapeFeb 28, 2026

## Chinese frontier models compared: GLM-5, MiniMax M2.5 & M2.7, Kimi K2.5, Qwen 3.5, and MiMo-V2-Pro

A benchmark-driven comparison of leading Chinese foundation models against Claude Opus 4.6, with Vals AI scores, March 2026 updates for MiniMax M2.7 and Xiaomi MiMo-V2-Pro, pricing, and production guidance.

![Dhruv Mangtani](/_next/image?url=%2Fimages%2Fblog%2Fauthors%2Fdhruv-mangtani.png&w=64&q=75)

Dhruv Mangtani

](/blog/chinese-frontier-models-compared-glm5-minimax-kimi-qwen)

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*Maniac, High throughput background agents. Opus-quality outputs at 1/50 of the cost. Learn more at [maniac.ai](https://www.maniac.ai).*