# GPT-5.6 Terra vs GPT-6 Sol > Side-by-side benchmark comparison for GPT-5.6 Terra and GPT-6 Sol across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks. - Canonical page: https://benchlm.ai/compare/gpt-5-6-terra-vs-gpt-6-sol - Last updated: September 22, 2026 - Shared sourced benchmarks: 5 - HTML indexing: indexable - Ranking lane: BenchAlign v5 ## Quick Verdict Pick GPT-6 Sol if you want the stronger benchmark profile. GPT-5.6 Terra only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score. ## Summary - GPT-6 Sol leads overall 80.45 to 70.71. - The clearest category separation is in reasoning, where the averages are 63.1 for GPT-5.6 Terra and 78.5 for GPT-6 Sol. - The biggest single benchmark swing is OSWorld 2.0 in Agentic, with scores of 50.2% and 60.5%. - GPT-6 Sol is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use. ## Model Snapshot | Property | GPT-5.6 Terra | GPT-6 Sol | |----------|----------|----------| | Creator | OpenAI | OpenAI | | Type | Proprietary | Proprietary | | Reasoning | Reasoning | Reasoning | | Context | 1.05M | 1.05M | | Overall Score | 70.71 | 80.45 | | Benchmarks Covered | 32 | 10 | | Pricing (input/output) | $2.00 / $12.00 | $2.00 / $10.00 | ## Category Breakdown ### Agentic - Winner: Coming soon - GPT-5.6 Terra public-lane score: 60.5 (Supported · #21/157) - GPT-6 Sol public-lane score: 69.7 (Estimated · #7/157) | Benchmark | GPT-5.6 Terra | GPT-6 Sol | Winner | |-----------|-----------|-----------|--------| | Terminal-Bench 3.0 | 20.8% | Coming soon | Coming soon | | Terminal-Bench 2.0 | 87.4% | Coming soon | Coming soon | | BrowseComp | 87.5% | Coming soon | Coming soon | | OSWorld 2.0 | 50.2% | 60.5% | GPT-6 Sol | | CyberGym | 81.8% | Coming soon | Coming soon | | ExploitGym | 23.2% | 22.1% | GPT-5.6 Terra | | Toolathlon | 53.1% | Coming soon | Coming soon | | Terminal-Bench 2.1 (Vals) | 77.5% | Coming soon | Coming soon | | ApprenticeBench | 16% | Coming soon | Coming soon | | Agents' Last Exam | Coming soon | 56.4% | Coming soon | | AutomationBench | Coming soon | 33.2% | Coming soon | ### Coding - Winner: Coming soon - GPT-5.6 Terra public-lane score: 67.9 (Supported · #8/159) - GPT-6 Sol public-lane score: 74.3 (Estimated · #6/159) | Benchmark | GPT-5.6 Terra | GPT-6 Sol | Winner | |-----------|-----------|-----------|--------| | SWE-bench Pro | 63.4% | Coming soon | Coming soon | | Terminal-Bench 2.0 | 87.4% | Coming soon | Coming soon | | DeepSWE | 69.6% | 68.8% | GPT-5.6 Terra | | FrontierCode 1.1 Extended | 55.8% | Coming soon | Coming soon | | cursorBench32 | 64.9% | Coming soon | Coming soon | | VulcanBench v3 | 87.0% | Coming soon | Coming soon | | LiveCodeBench (Vals) | 85.9% | Coming soon | Coming soon | | SWE-bench (Vals) | 95.4% | Coming soon | Coming soon | ### Reasoning - Winner: Coming soon - GPT-5.6 Terra public-lane score: 63.1 (#12/17) - GPT-6 Sol public-lane score: 78.5 (#5/17) | Benchmark | GPT-5.6 Terra | GPT-6 Sol | Winner | |-----------|-----------|-----------|--------| | ARC-AGI-2 | 83.9% | Coming soon | Coming soon | | ARC-AGI-3 | 0.8% | Coming soon | Coming soon | ### Multimodal & Grounded - Winner: Coming soon - GPT-5.6 Terra public-lane score: 77.2 (#16/50) - GPT-6 Sol public-lane score: 82.8 (Unranked · 1 rankable row) | Benchmark | GPT-5.6 Terra | GPT-6 Sol | Winner | |-----------|-----------|-----------|--------| | MMMU-Pro | 80.7% | Coming soon | Coming soon | | MMMU-Pro w/ Python | 82% | Coming soon | Coming soon | ### Knowledge - Winner: Coming soon - GPT-5.6 Terra public-lane score: 70.4 (Supported · #14/189) - GPT-6 Sol public-lane score: 80.2 (Estimated · #6/189) | Benchmark | GPT-5.6 Terra | GPT-6 Sol | Winner | |-----------|-----------|-----------|--------| | GPQA | 92.9% | Coming soon | Coming soon | | GPQA-D | 92.9% | Coming soon | Coming soon | | HLE-Verified | 51.1% | Coming soon | Coming soon | | LABBench2 | 81.2% | Coming soon | Coming soon | | HealthBench Professional | 57.7% | 60.8% | GPT-6 Sol | | HealthBench Hard | 32.7% | 30.1% | GPT-5.6 Terra | | GPQA Diamond (Vals) | 90.9% | Coming soon | Coming soon | | MMLU-Pro (Vals) | 86.7% | Coming soon | Coming soon | | HealthBench (raw) | Coming soon | 47.1% | Coming soon | | HealthBench (length-adjusted) | Coming soon | 53.2% | Coming soon | | HealthBench Professional (raw) | Coming soon | 59.5% | Coming soon | ### Instruction Following - Winner: Coming soon - GPT-5.6 Terra public-lane score: 85.7 (#35/124) - GPT-6 Sol public-lane score: Coming soon ### Mathematics - Winner: Coming soon - GPT-5.6 Terra public-lane score: 96.8 (Unranked · 3 rankable rows) - GPT-6 Sol public-lane score: Coming soon | Benchmark | GPT-5.6 Terra | GPT-6 Sol | Winner | |-----------|-----------|-----------|--------| | FrontierMath (legacy) | 84.9% | Coming soon | Coming soon | | FrontierMath v2 (Tiers 1-3) | 84.900% | Coming soon | Coming soon | | FrontierMath v2 (Tier 4) | 68.300% | Coming soon | Coming soon | ## FAQ ### Which is better overall, GPT-5.6 Terra or GPT-6 Sol? GPT-6 Sol is ahead overall on BenchLM right now. ### Where is the biggest gap between GPT-5.6 Terra and GPT-6 Sol? The widest category gap is in reasoning, where the averages are 63.1 for GPT-5.6 Terra and 78.5 for GPT-6 Sol. ### How many benchmarks does GPT-5.6 Terra cover on BenchLM? GPT-5.6 Terra currently has 32 sourced benchmark scores on BenchLM. ### How many benchmarks does GPT-6 Sol cover on BenchLM? GPT-6 Sol currently has 10 sourced benchmark scores on BenchLM. ## Related Comparisons - [GPT-5.6 Terra vs GPT-5.6 Sol](/compare/gpt-5-6-sol-vs-gpt-5-6-terra) - [GPT-6 Sol vs GPT-5.6 Sol](/compare/gpt-5-6-sol-vs-gpt-6-sol) - [GPT-5.6 Terra vs GPT-5.6 Luna](/compare/gpt-5-6-luna-vs-gpt-5-6-terra) - [GPT-6 Sol vs GPT-5.6 Luna](/compare/gpt-5-6-luna-vs-gpt-6-sol) ## Explore More - [GPT-5.6 Terra profile](/models/gpt-5-6-terra) - [GPT-6 Sol profile](/models/gpt-6-sol) - [Compare Pricing](/llm-pricing) - [Alternative Finder](/tools/alternative-finder) - [LLM Selector](/tools/llm-selector) - [Overall Rankings](/best/overall)