Why it is worth attention

It provides systematic multi-trial benchmarking with a focus on reliability, deployability, and real-world agentic use cases, giving actionable recommendations for high-RAM local rigs.

Who it is for

Developers building local AI agents
Researchers evaluating LLMs for tool use
Hobbyists with 96-128GB RAM systems
AI safety engineers needing reliable models

Use cases

Selecting a default production agent backend
Evaluating models for safety-critical or adversarial workloads
Optimizing for low latency with tight reliability
Avoiding models with dangerous injection vulnerabilities

Strengths

Comprehensive multi-category benchmark covering 84 scenarios, 16 categories
Transparent methodology with 8 trials per model and detailed metrics like Pass@8 and Pass^8
Clear tiered recommendations and ranking with actionable insights
Top model achieves zero never-pass scenarios across all core agent categories

Considerations

Benchmark data limited to models tested; may not cover all available local LLMs
Results specific to the Hermes Agent framework and tool-eval-bench evaluation
Requires hardware with 96-128GB RAM for top-performing models

README quick start

Best Local Model for Agentic Workflows for single DGX Spark or other 96-128gb rigs (2026)

Interactive comparison report for choosing a local LLM backend for agentic workflows — multi-turn tool orchestration, function calling, and autonomous planning as exercised by frameworks like Hermes Agent.

Benchmark data comes from tool-eval-bench: 84 scenarios, 16 categories, 8 trials per model (where available), scored pass / partial / fail.

Quick answer

Use Qwen 3.6 35B A3B UD Q8_K_XL as your default Hermes Agent backend.

Metric	Qwen 35B Q8_K_XL
Mean score	91.0
Pass@8 (capability ceiling)	91.7%
Pass^8 (reliability floor)	76.2%
Deployability	79
Median turn	2.5s
Never-pass scenarios	0

It is the only model with 100% across all core agent categories on every trial: multi-step chains, error recovery, tool selection, parameter precision, structured output, and instruction following.

View the reports

Open either HTML file in a browser — no build step, no server required.

Report	Theme	File
Primary	Dark	`agentic-model-comparison.html`
Alternate	Light	`agentic-model-comparison-light.html`

git clone https://github.com/MiaAI-Lab/Best-Local-Model_Agentic-Workflows_2026.git
cd Best-Local-Model_Agentic-Workflows_2026
xdg-open agentic-model-comparison.html   # Linux
open agentic-model-comparison.html         # macOS

Full ranking (agentic use)

Rank	Model	Score	Why
1	Qwen 3.6 35B A3B UD Q8_K_XL	91.0	Best overall: score, capability, deployability, zero never-pass
2	Qwen 3.6 27B NVFP4	89.0	Hard-mode / safety tier (93% hard, 96% safety, 81% Pass^8)
3	Qwopus 3.6 27B Coder MTP	85.2	Fastest reliable tier (2.2s, 4.8pp gap, 100% error recovery)
4	DeepSeek V4 Flash Q2	86.5	High ceiling (88.1% Pass@8) but TC-60 injection + 23 safety warnings
5	Agents-A1 Q8_0	83.4	High Pass@8 ceiling (90.5%), flaky floor (64.3%)
6	Gemma 4 26B NVFP4	81.4	Mid-tier
7	Nemotron 3 N

Description

Head-to-head comparison of local LLMs for agentic workflows (Hermes Agent, tool-eval-bench)

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