Atomic Agent

@atomicagent_io

Local-First AI Agent. Team: @skinbagwbones @sosidudku @schwarzerrttr

California, USA

atomicagent.io

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Atomic Agent
@atomicagent_io
Aug 28
Atomic Agent made GLM 5.3 better and it costs only 77 cents more! We ran three prompts: ✦ Teddy bear falling apart mid-run ✦ Frog popping ✦ Snowman melting in a sauna Outputs: ✦ GLM 5.3, API only: 543,290 tokens, $2.39 ✦ GLM 5.3 + Atomic Agent: 1,091,380 tokens, $3.16 An
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Z.ai
@Zai_org
Aug 28
GLM-5.3 is now open-weight. Our most capable model for agentic coding and cyber defense is now available to download, run, and customize. Weights: huggingface.co/zai-org/GLM-5.3 Tech blog: z.ai/blog/glm-5.3
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Atomic Agent
@atomicagent_io
Aug 26
Qwen3.8-Flash-Next from @Alibaba_Qwen has day-0 support in Atomic Agent! 125B main model, 51B N-gram embeddings, 6B activated per token and 62.5 on SWE-bench Pro. We gave it a folder and it checked every file to sort them by content. Total: 25 steps + 230K tokens ≈ $0.07
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Qwen
@Alibaba_Qwen
Aug 26
⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight! The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens. 125B parameters + 51B N-gram
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Atomic Agent
@atomicagent_io
Aug 14
Qwen 3.8 27B on Atomic Agent was 2x faster than on Hermes and Prime agents! Outputs: Atomic: 5,535 lines, 19 modules, 2h35min Hermes: 10,424 lines, 109 modules, 4h15min Prime: 12,226 lines, 129 modules, 4h42min We gave three agents the same tasks, rebuild these games: ✦ Hole
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Qwen
@Alibaba_Qwen
Aug 14
We promised open weights for Qwen3.8. Now, time to meet them! 🎉 ⚡ Qwen3.8-27B: - A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows. - 262K native context, easily extendable to 1M
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Atomic Agent
@atomicagent_io
Jul 28
Open weight Kimi K3 performs at Claude Fable 5 level on 3D arcade games! We gave both models the same prompts: ✦ Pac-Man with four hunting ghosts ✦ Nokia Snake remade in 3D ✦ Retro space pinball table with real physics Outputs (thinking included): ✦ Kimi K3 (local, 8x
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Kimi.ai
@Kimi_Moonshot
Jul 27
Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window. New model architecture: 2.5x the intelligence per unit of compute, not just more params. Alongside
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Atomic Agent
@atomicagent_io
Jul 24
Atomic Agent beat Hermes on GAIA: 69.8% vs 58.5%, and it was 1.6x faster! We ran both agents through the full GAIA Level 1 benchmark, 53 real-world tasks, same 4-bit qwen-3.6-35b on the same Apple M4 Max. Results: ✦ Atomic Agent: 37 of 53 solved, done in 3h 12m ✦ Hermes
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