{"slug": "claude-opus-5-5-and-gpt-6-astra-are-dominating-the-latest-benchmarks", "title": "Claude Opus 5.5 and GPT-6 Astra are dominating the latest benchmarks", "summary": "GPT-6 Astra and Claude Opus 5.5 lead the Terminal-Bench-Science benchmark by roughly 20 points over Fable 5.1, with the strongest model outside those two labs, Qwen3.8 Max, at just 12%, according to the latest benchmark numbers. Claude Opus 5.5 scores 62% at \"xhigh\" reasoning effort but dips to 59% at \"max,\" and leads SimpleBench at 88.4% while costing roughly 60% less than Fable 5.1. Xiaomi's MIT-licensed MiMo-V2.6-Pro scores 46 on the AA index at $0.13 per task versus GPT-5.6 Sol's 47 at $1.99.", "body_md": "# Claude Opus 5.5 and GPT-6 Astra are dominating the latest benchmarks\n\nThe latest numbers from Terminal-Bench-Science show a massive gap between the top tier and everyone else. GPT-6 Astra and [Claude](https://promptcube3.com/en/tags/claude/) Opus 5.5 are leading Fable 5.1 by roughly 20 points. To put that in perspective, the strongest model outside those two labs, Qwen3.8 Max, is sitting at just 12%. It is an incredible time to be building with these tools because the performance ceiling is just skyrocketing.\n\n## How does Claude Opus 5.5 handle reasoning effort?\n\nThe scaling of reasoning effort on Terminal-Bench-Science is a bit surprising. Opus 5.5 jumps from 24% at \"low effort\" up to 62% at \"xhigh,\" but then it actually dips to 59% when set to \"max.\" If you are tuning your prompts, avoid the \"max\" setting; it imposes a minimum reasoning budget that seems to degrade the output slightly.\n\nOn the vision side, it is currently ranked as Anthropic’s strongest vision model, beating Fable 5 and GPT-6 Sol, though it still trails GPT-6 Astra. The best part is the efficiency—it is roughly 60% cheaper than Fable 5.1 while leading SimpleBench with an 88.4% score.\n\n## What is the current state of the GPT-6 family?\n\nThe different GPT-6 variants are carving out very specific niches:\n\n- **Astra:** This is the heavy hitter for reviews and audits. It reportedly beat NetHack on its third attempt and maintains an 82.5% win rate in DOOM agent matches.\n- **Luna [Max]:** The efficiency play. It hit #24 in Code Arena WebDev with a score of 1593 (which is +74 over GPT-5.6 Luna) at a blended cost of about $0.40/Mtok.\n- **Sol:** The speed king, though it loses to Luna on the wins-per-dollar metric.\n\n## How do the latest Flash and Open-Weight models compare?\n\n[Gemini](https://promptcube3.com/en/tags/gemini/) 3.8 Flash is putting up some wild numbers, hitting 291 tok/s with a 1M context window. It scored 89.2% on ARC-AGI v2 at $0.40 per task and 98.5% on v1. Interestingly, on v3, it hits 10.4% with the standard harness but jumps to 35% using the provider harness.\n\nThen there is the Xiaomi MiMo-V2.6-Pro. It is released under the MIT license, is omni-modal with 1M context, and scores 46 on the AA index. For comparison, GPT-5.6 Sol is at 47. The price difference is where Xiaomi wins—it costs $0.13 compared to $1.99 per task.\n\nIt is also worth noting that the $200 [Claude Code](https://promptcube3.com/en/tags/claude%20code/) plan is receiving a lot of praise right now, with a growing consensus that it is officially beating Codex. Whether you are optimizing for raw power with Astra or cost-efficiency with MiMo, there is a perfect tool for every single use case right now.\n\n[Next Deepfake Detection Fails Without Cross-Generator Generalization →](https://promptcube3.com/en/threads/9585/)\n\n## All Replies （1）\n\nWant a live back-and-forth? [Join the global AI chat room](https://promptcube3.com/en/chat/) — login to talk.\n\nThat 20 point gap is wild. I'm seeing a huge jump in complex logic tasks with Opus 5.5 compared to my old setup.", "url": "https://wpnews.pro/news/claude-opus-5-5-and-gpt-6-astra-are-dominating-the-latest-benchmarks", "canonical_source": "https://promptcube3.com/en/threads/9624/", "published_at": "2026-09-26 21:02:28+00:00", "updated_at": "2026-09-26 21:30:23.507518+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research", "ai-products"], "entities": ["Anthropic", "Claude Opus 5.5", "GPT-6 Astra", "Fable 5.1", "Qwen3.8 Max", "Gemini 3.8 Flash", "Xiaomi MiMo-V2.6-Pro", "Claude Code"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/claude-opus-5-5-and-gpt-6-astra-are-dominating-the-latest-benchmarks", "markdown": "https://wpnews.pro/news/claude-opus-5-5-and-gpt-6-astra-are-dominating-the-latest-benchmarks.md", "text": "https://wpnews.pro/news/claude-opus-5-5-and-gpt-6-astra-are-dominating-the-latest-benchmarks.txt", "jsonld": "https://wpnews.pro/news/claude-opus-5-5-and-gpt-6-astra-are-dominating-the-latest-benchmarks.jsonld"}}