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GPT‑5.6 Sol, Terra, and Luna compared across official coding, agentic, professional, science, computer-use, long-context, academic, tool-use, and cybersecurity benchmarks—with pricing tables, charts, radar, and a practical routing guide.
GPT-5.6 Sol vs Claude Fable 5: Sol leads on agentic coding and price; Fable leads SWE-bench Pro and aggregate intelligence. Rich charts, radar, cost math, and sourced guidance.
GPT-5.6 Sol vs Terra: a detailed family comparison across pricing, 1M context, coding, professional work, science, computer use, charts, radar, and a practical routing strategy.
GPT-5.6 Sol vs Claude Opus 4.8: detailed comparison across pricing, caching, 1M context, coding and professional benchmarks, long context, MCP Atlas, graphs, radar, and routing guidance.
GPT-5.6 Terra vs Claude Sonnet 5: nearly identical standard output pricing, 1M+ context, and a close SWE-bench Pro result—yet sharply different terminal scores, tooling, availability, and intro pricing.
Hy3 (295B MoE, Apache 2.0, $0.80/1M) vs GPT-5.5 (proprietary, $30/1M). GPT-5.5 leads coding (+11-42 pts), but Hy3 fights back on agents: wins MCP Atlas (+3.8), edges HLE w/tools (+1.0), near-ties BrowseComp (84.2 vs 84.4). All at 1/37th the cost. 5 charts, full breakdown.
Claude Sonnet 5 ($3/$15, June 30) beats GPT-5.5 ($5/$30, April 23) on every directly comparable benchmark: +4.6 SWE-bench Pro, +2.2 Terminal-Bench 2.1, +5.2 HLE with tools. At 40% cheaper input and 50% cheaper output. Full benchmark comparison.
GLM-5.2 (62.1% Pro, MIT open-weight, $4.40/1M) beats GPT-5.5 (58.6%, $30/1M) on SWE-bench Pro by 3.5 points at 1/7 the cost. Also leads HLE w/tools (+2.5), FrontierSWE (+1.8), MCP Atlas (+1.7). GPT-5.5 counters with DeepSWE (+23.8), TB 2.1 (+3.0). Full comparison with 12 shared benchmarks from Z.AI/VentureBeat data.
GPT-5.5 and Kimi K2.6 are tied at 58.6% SWE-bench Pro. But Kimi leads HLE w/tools (54.0%), DeepSearchQA (+13.9), and Agent Swarm (300 sub-agents). GPT counters with OSWorld (+1.9), BrowseComp, Terminal-Bench (Codex CLI 82.7%), and 7.5× higher cost. The most evenly matched comparison of 2026.
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.
GPT-5.5 dominates agentic coding (+14.2 Terminal-Bench, +4.4 SWE-bench Pro). Gemini 3.1 Pro wins on price (2.5× cheaper), reasoning (GPQA 94.3%), and multimodal breadth. Real benchmarks, pricing analysis, and a 9-point decision matrix for choosing the right enterprise model.
MiniMax M3 (59.0% SWE-bench Pro, $1.20/1M) beats GPT-5.5 (58.6%, $30/1M) on the hardest coding benchmark at 25× less cost. But GPT-5.5 dominates Terminal-Bench (+16.7), OSWorld (+8.7), GPQA and HLE. 1M context, native video, MSA architecture, open-weight vs proprietary. Full comparison.