25 LLMs Battle in 8 Brutal Rounds – Best Models for OpenClaw Agents in 2026
25 AI models battle in 8 brutal, objective rounds – perfect for powering OpenClaw agents in 2026. Which LLM crushes tool calling, code gen, debugging, and long context for your autonomous agents?
Surprises: Budget models like GPT-5 Nano and Claude Haiku 4.5 dominate real agent workflows, GLM-5 ties flagships at 1/5th the cost, and every model now aces 'long context' that matters for agent memory.
Ideal for OpenClaw users picking backends (Claude Opus, GPT-5.4, Gemini Flash, Grok, Kimi, DeepSeek, GLM-5 & more).
Surprises everywhere:
Budget Claude Haiku 4.5 scores perfect 10/10 on complex Expr…
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Chapters (17)
Intro: 25 Models, 8 Rounds, 1 Winner
0:09
How We Tested + Model Tiers (A/B/C)
0:37
Round Breakdown (What Each Tests)
1:31
Round 1: Code Generation (Express.js API Beast)
2:23
Round 2: Debugging Python Pipeline
3:11
Round 3: Pure Math & Logic (Einstein Puzzle Fail)
4:21
Round 4: Strict Nested JSON Instruction Following
5:18
Round 5: 73KB Long Context Comprehension (Everyone Wins)
5:57
Round 6: Tool/Function Calling with Traps
6:54
Round 7: Graduate-Level CS Knowledge
7:36
Round 8: Constrained Creative Writing (Judged by Claude Opus)
8:28
Spectacular Failures Montage
9:06
Head-to-Head Value Matchups (GLM-5 vs Sonnet, Grok 4.1 Fast vs Grok 3)
9:53
Final Leaderboard Reveal
11:01
Value Chart & Bang-for-Buck Kings
11:31
Top Picks: Best Overall, Best Budget, Best Value, Sleeper Hits
12:04
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