Anti-hype ranking of 64 LLMs for multi-step agent loops: Gemini 4 Argon High (#1), DeepSeek-V4 (#2), Grok 4.7 (#3), Llama Spark 1.3 Max (#4), Qwen 3.8 Max (#5), Kimi K3 (#6), and Muse Spark 1.3 (#10).
Task Performance (30%) + Proactivity (20%) + Memory (15%) + Privacy (15%) + Independence (10%) + Real Usage (10%) [Social Volume = 0%].
2. Ranker Score Formula: Methodology Transparency (30%) + Coverage (25%) + Freshness (20%) + Independence (15%) + Reproducibility (10%).
3. Category Leaders: Agentic Models #1 Gemini 4 Argon High (93.1), #2 DeepSeek-V4 (92.9), #3 Grok 4.7 (92.3), #4 Llama Spark 1.3 Max (91.9); Workflow Builders #1 n8n AI Agent (85.3); Personal Agents #1 Grok Bot (88.5), #2 Scout (88.4), #3 Muse (86.9), while heavily hyped social-pump entries like Dots (#5 at 73.4) and closed chat wrappers (Claude Sonnet 5.5 at 79.6, GPT-6 Astra Max at 78.9) rank lower due to unverified autonomy claims, rate-limit throttling, and vendor lock-in.
| Rank | Model & Provider | Agentic Score | Tool Call % | Multi-Step % | Hype vs Proof | Actuarial Audit Notes |
|---|---|---|---|---|---|---|
| #1 |
Google DeepMind (US) • Last verified: 2026-10-27
|
93.8 | 97.5% | 95.5% | ✅ Verified | #1 Grounded Intelligence Engine (3.1% Reality Gap); native 2M episodic memory & multimodal DOM/video tool execution. |
| #2 |
DeepSeek AI (CN) • Last verified: 2026-10-27
|
92.9 | 91.0% | 90.5% | ✅ Verified | Sovereign MIT open-weights MoE; 4.8% Reality Gap and $0.20/M input cost enable unthrottled 24/7 autonomous agent swarms. |
| #3 |
xAI (US) • Last verified: 2026-10-27
|
92.3 | 95.5% | 97.0% | ✅ Verified | Colossus 200k-GPU real-time telemetry execution; zero bureaucratic refusal friction on autonomous CLI and terminal loops. |
| #4 |
Meta (US) • Last verified: 2026-10-27
|
91.9 | 92.0% | 89.0% | ✅ Verified | 80.9% SWE-bench & 69.4% OSWorld 2.0 on open weights; full VPC air-gapped agent deployment with zero vendor telemetry. |
| #5 |
DeepSeek AI (CN) • Last verified: 2026-10-27
|
91.5 | 90.5% | 88.0% | ✅ Verified | 75.9% SWE-bench Verified at $0.18/M input; #1 cost-adjusted autonomous repository refactoring model. |
| #6 |
Alibaba Cloud (CN) • Last verified: 2026-10-27
|
91.0 | 91.5% | 91.0% | ✅ Verified | Asian sovereign frontier model with industry-leading bilingual MCP schema adherence and deterministic JSON tool calling. |
| #7 |
Moonshot AI (CN) • Last verified: 2026-10-27
|
90.6 | 90.0% | 93.5% | ✅ Verified | 500k lossless long-horizon memory with built-in self-critique RL loops for multi-day research and coding agents. |
| #8 |
Google DeepMind (US) • Last verified: 2026-10-27
|
90.5 | 94.0% | 92.0% | ✅ Verified | Trillion-token audio-visual-code grounding with 2M context window and 3.9% empirical Reality Gap. |
| #9 |
Alibaba Cloud (CN) • Last verified: 2026-10-27
|
90.3 | 88.5% | 86.0% | ✅ Verified | 74.8% SWE-bench in a 32B footprint; runs 100% locally on consumer/workstation GPUs for zero-leakage coding agents. |
| #10 |
Muse Team / Meta Ecosystem (US) • Last verified: 2026-10-27
|
90.0 | 87.5% | 90.0% | ✅ Verified | Continuous-token visual autoregressive reasoning for local GUI, browser DOM, and desktop automation agents. |
| #11 |
xAI (US) • Last verified: 2026-10-27
|
89.7 | 92.0% | 94.5% | ✅ Verified | SWE Marathon & TerminalBench powerhouse with 2M context and high-frequency tool execution. |
| #12 |
Google DeepMind (US) • Last verified: 2026-10-27
|
89.3 | 91.5% | 89.5% | ✅ Verified | Workhorse 2M-context multimodal agent backbone with $0.20/M context caching. |
| #13 |
MiniMax (CN) • Last verified: 2026-10-27
|
89.1 | 83.5% | 86.5% | ✅ Verified | Linear-attention 4-million-token context window ideal for massive repository and legal/financial log ingestion. |
| #14 |
Zhipu AI (CN) • Last verified: 2026-10-27
|
89.0 | 88.0% | 91.5% | ✅ Verified | Native phone OS and desktop browser GUI action execution (AutoGLM) with strong bilingual tool chains. |
| #15 |
Shanghai AI Lab (CN) • Last verified: 2026-10-27
|
88.8 | 86.0% | 85.5% | ✅ Verified | Open-weights formal verification and Lagent/MindSearch multi-step tool orchestrator. |
| #16 |
DeepSeek AI (CN) • Last verified: 2026-10-27
|
88.3 | 86.0% | 83.0% | ✅ Verified | Pioneering MIT open-weights RL reasoning model powering sovereign enterprise agent verification. |
| #17 |
Google DeepMind (US) • Last verified: 2026-10-27
|
88.2 | 87.0% | 89.0% | ✅ Verified | Sub-dollar 1M-context high-frequency routing engine for parallel sub-agent swarms. |
| #18 |
DeepSeek AI (CN) • Last verified: 2026-10-27
|
88.0 | 83.0% | 84.0% | ✅ Verified | Battle-tested $0.14/M open-weights MoE powering thousands of self-hosted n8n and Dify workflows. |
| #19 |
Meta (US) • Last verified: 2026-10-27
|
87.6 | 85.5% | 84.0% | ✅ Verified | High-capacity open-weights foundation for on-premise multi-agent orchestration. |
| #20 |
xAI (US) • Last verified: 2026-10-27
|
87.4 | 89.5% | 91.0% | ✅ Verified | 2M context window and reliable long-horizon CLI execution on xAI Colossus. |
| #21 |
Alibaba Cloud (CN) • Last verified: 2026-10-27
|
87.4 | 83.0% | 83.5% | ✅ Verified | Top BFCL function-calling accuracy among 72B Apache-2.0 open-weights models. |
| #22 |
01.AI (CN) • Last verified: 2026-10-27
|
87.2 | 86.5% | 87.0% | ✅ Verified | Ultra-high tokens/sec inference speed critical for real-time voice and browser execution loops. |
| #23 |
NVIDIA (US) • Last verified: 2026-10-27
|
87.0 | 85.0% | 84.0% | ✅ Verified | Blackwell FP8 optimized open-weights agent model with synthetic tool-use distillation. |
| #24 |
DeepSeek AI (CN) • Last verified: 2026-10-27
|
87.0 | 82.5% | 82.0% | ✅ Verified | Distilled reasoning powerhouse running locally via Ollama/vLLM for private coding agents. |
| #25 |
DeepSeek AI (CN) • Last verified: 2026-10-27
|
87.0 | 82.0% | 84.0% | ✅ Verified | Open-weights MoE vision-language model for autonomous OCR and UI clicking. |