{"slug": "gpt-6-1-sol-places-just-one-point-behind-gpt-6-astra-on-artificial-analysis", "title": "GPT 6.1 Sol Places Just One Point Behind GPT 6 Astra On Artificial Analysis Intelligence Index", "summary": "OpenAI's GPT-6.1 Sol scored 52 on the Artificial Analysis Intelligence Index at max reasoning effort, one point behind OpenAI's flagship GPT-6 Astra at 53, according to the independent benchmarking firm. The model is priced at $2 per million input tokens and $10 per million output tokens — one-fifth of Astra's $10 and $50 — with cached input halved to $0.10 per million tokens, and it is available in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users and via the API as gpt-6.1-sol. Anthropic's Claude Opus 5.5 leads the index (v4.3.2) at 58, followed by Claude Sonnet 5.5 at 56 and Claude Fable 5.1 at 53, tying GPT-6 Astra.", "body_md": "OpenAI’s newly released [GPT-6.1 Sol](https://officechai.com/ai/gpt-6-1-sol/) has landed just one point behind the company’s flagship GPT-6 Astra on the Artificial Analysis Intelligence Index, according to the independent benchmarking firm. GPT-6.1 Sol, running at max reasoning effort, scores 52 on the index, against 53 for GPT-6 Astra at max effort.\n\nThat is a significant jump from GPT-6 Sol, which [scored 48 on the same index at max effort](https://officechai.com/ai/gpt-6-sol-shows-modest-gain-over-gpt-5-6-sol-on-artificial-analysis-intelligence-index-but-at-a-much-cheaper-price/) when it launched last week. The four-point gain in a matter of days puts the upgraded model level with Astra’s standing on the benchmark for a fraction of the price: OpenAI lists GPT-6.1 Sol at $2 per million input tokens and $10 per million output tokens, one-fifth of Astra’s $10 and $50.\n\nThe result lines up with OpenAI’s own claim that GPT-6.1 Sol nearly matches Astra’s intelligence on agentic coding, computer use and professional work.\n\n## Where the rest of the field stands\n\nThe latest version of the index (v4.3.2) combines ten evaluations: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity’s Last Exam, GDP.pdf, CritPt, AA-Omniscience and AA-LCR v1.1.\n\nOn that index, Anthropic’s models still hold the top of the chart. Claude Opus 5.5 leads with a score of 58, followed by [Claude Sonnet 5.5 at 56](https://officechai.com/ai/claude-sonnet-5-5-benchmarks/). Claude Fable 5.1 scores 53, tying GPT-6 Astra. All three Anthropic scores are for the max setting with fallbacks enabled.\n\nGPT-6.1 Sol sits just below that group at 52, and ahead of Claude Opus 5 (max) at 51. Below it, Meta’s Muse Spark 1.3 (max) and GPT-6 Sol (max) are tied at 48, followed by xAI’s Grok 4.7 (xhigh) and Xiaomi’s MiMo-V2.6-Pro at 46. Alibaba’s Qwen3.8 Max and Zhipu’s GLM-5.3 (max) score 45 each, while Step 5 Preview and Moonshot’s Kimi K3 (max) are at 44. GLM-5.3-Flash scores 42 and Google’s Gemini 3.8 Flash (high) 41.\n\n## Price is the story\n\nThe headline for GPT-6.1 Sol is cost. OpenAI has kept the model’s standard API pricing at $2 and $10 per million input and output tokens, the same as GPT-6 Sol, and has halved the cached input price to $0.10 per million tokens. That makes it a much cheaper way to get close to Astra-level performance, particularly for agents that reuse a lot of context across requests.\n\nArtificial Analysis has not yet published a cost-per-task figure for GPT-6.1 Sol in the chart shared with the result. For reference, GPT-6 Sol at max effort cost about $1.06 per task to run the index, so the new model’s total cost will depend on how many tokens it uses to reach its higher score.\n\nGPT-6.1 Sol is available in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users, and through the API as `gpt-6.1-sol`. It is not yet available in Chat.", "url": "https://wpnews.pro/news/gpt-6-1-sol-places-just-one-point-behind-gpt-6-astra-on-artificial-analysis", "canonical_source": "https://officechai.com/miscellaneous/gpt-6-1-sol-places-just-one-point-behind-gpt-6-astra-on-artificial-analysis-intelligence-index/", "published_at": "2026-09-29 19:02:21+00:00", "updated_at": "2026-09-29 19:20:54.122122+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research", "ai-products", "ai-agents"], "entities": ["OpenAI", "GPT-6.1 Sol", "GPT-6 Astra", "Artificial Analysis", "Anthropic", "Claude Opus 5.5", "Claude Sonnet 5.5", "ChatGPT Work"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/gpt-6-1-sol-places-just-one-point-behind-gpt-6-astra-on-artificial-analysis", "markdown": "https://wpnews.pro/news/gpt-6-1-sol-places-just-one-point-behind-gpt-6-astra-on-artificial-analysis.md", "text": "https://wpnews.pro/news/gpt-6-1-sol-places-just-one-point-behind-gpt-6-astra-on-artificial-analysis.txt", "jsonld": "https://wpnews.pro/news/gpt-6-1-sol-places-just-one-point-behind-gpt-6-astra-on-artificial-analysis.jsonld"}}