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Claude Sonnet 5 vs Gemini 3.5 Flash: Speed vs Depth. Sonnet leads every coding benchmark (+8.1 Pro, +4.2 TB). Gemini leads MCP Atlas (83.6%), is 4x faster (289 tok/s), 2x cheaper. Coding specialist vs tool orchestration speed king — pick your weapon.
Interactive MCP Atlas leaderboard: 10 AI models ranked by multi-server tool orchestration. Gemini 3.5 Flash leads at 83.6%. Claude Opus 4.8 at 77.8%. GLM-5.2 at 77.0%. MCP Atlas measures how well models chain tools across MCP servers — the benchmark for real-world agentic reliability.
Anthropic's two best non-Mythos models face off. Claude Opus 4.8 ($25/1M, 69.2% Pro) leads Sonnet 4.6 ($15/1M) on all benchmarks by 1-13 pts. But Sonnet handles 1M context at standard pricing, costs 1.7x less, and was preferred by devs over Opus 4.5. Full sibling comparison.
Google's two best models face off. Gemini 3.1 Pro leads on reasoning (HLE +4.2, MRCR +7.6, ARC-AGI-2 +5.0). Gemini 3.5 Flash dominates agents & coding (+14.9 Finance, +5.9 Terminal-Bench, +5.4 MCP Atlas), is 25% cheaper, and 4× faster. All data from Google DeepMind's official model card.
Claude Opus 4.8 (69.2% Pro, $25/1M, AA Index #1) vs MiniMax M3 (59.0%, $1.20/1M, open-weight + video). Opus dominates 5 of 6 shared benchmarks by 8-13 points. But M3 is 21× cheaper, open-weight, and wins BrowseComp (-4.2). Full comparison with VP of VentureBeat research plus MiniMax/Minimax blog data.
GPT-5.5 (82.7% Terminal-Bench, 58.6% Pro, $30/1M) vs Gemini 3.5 Flash (83.6% MCP Atlas, 76.2% TB 2.1, $9/1M, 152 tok/s). GPT-5.5 dominates reasoning & long context. Flash dominates tool orchestration & speed. Official Google DeepMind model card data. 10-point verdict.