Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5

Google's Gemini 4 Carbon debuted as the #1 model on Artificial Analysis' Intelligence Index v5 with a score of 59, leading 4 of the 9 Index evaluations including HLE-Diamond, Terminal-Bench-Science, AA-Omniscience and AutomationBench-AA, Artificial Analysis reported on October 28, 2026. Gemini 4 Carbon placed second to Claude Opus 5.5 (max, 62) on the Artificial Analysis Coding Agent Index with a score of 59 using Antigravity CLI, and at standard pricing of $4/$20 per 1M input/output tokens it costs $7.76 per Intelligence Index task, about 23% less than Claude Opus 5.5 (max, $10.04) but roughly 1.2x GPT-6 Astra (max, $6.25). The model is being rolled out to selected users and is not yet publicly available, with a 50% launch discount and no confirmed end date; it carries a 1M-token context window and accepts text, image, video and speech input with text output.

October 28, 2026 Gemini 4 Carbon is the new 1 on the Artificial Analysis Intelligence Index v5 See model page https://artificialanalysis.ai/models/gemini-4-carbon Google’s Gemini 4 Carbon is the new 1 on the Artificial Analysis Intelligence Index v5, and second only to Claude Opus 5.5 on the Artificial Analysis Coding Agent Index Gemini 4 Carbon scores 59 on Intelligence Index v5, driven by leading performance in complex reasoning, knowledge, and scientific tasks. It also has large gains in coding and knowledge work, particularly when compared to other Gemini models, but it is not leading in all these areas. As with launch of Gemini 4 Argon, Gemini 4 Carbon is being rolled out to selected users and is not yet publicly available. Google is offering a 50% launch discount, with no confirmed end date. All our charts and figures use standard pricing for both Gemini 4 Carbon and Argon. Key results for Gemini 4 Carbon with high reasoning: ➤ Gemini 4 Carbon leads the Intelligence Index v5, with the 1 score in 4 of the 9 Index evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA. Carbon makes substantial gains elsewhere but is not leading in coding and knowledge work ➤ Behind only Claude Opus 5.5 on coding agents: With Antigravity CLI, Gemini 4 Carbon high scores 59 only 3 points behind Claude Code with Claude Opus 5.5 max, 62 on the Artificial Analysis Coding Agent Index. Carbon ranks second on both Terminal-Bench 4.0 64% and FrontierCode v1.1 51% , behind Claude Opus 5.5 max at 56%. Google has historically underperformed in this area and so this improvement stands out. ➤ Improved agentic knowledge work, but not yet leading: On AA-Briefcase, Gemini 4 Carbon high scores 1609 Elo, a 126-point improvement over Gemini 4 Argon high, 1483 , but still behind models including Grok 4.7 xhigh, 1638 , Muse Wonder max, 1659 and Kimi K3.1 Pro 1678 . The largest gain comes from Presentation, up 293 Elo to 1598, alongside a 120-point improvement in Analytical Quality to 1671 ➤ Lower Cost per Task than Claude Opus 5.5 for comparable overall intelligence: With standard pricing, Gemini 4 Carbon costs $7.76 per Intelligence Index task, ~23% less than Claude Opus 5.5 max, $10.04 but ~1.2x GPT-6 Astra max, $6.25 . It uses 123k output tokens per task, 29% fewer than Claude Opus 5.5 max, 173k . At the same $4/$20 standard pricing, its Cost per Task is in line with Gemini 4 Argon $7.68 , while scoring 9 points higher on the Intelligence Index ➤ Leading AA-Omniscience v1.1 score, with low hallucination: Gemini 4 Carbon scores 54 on our recently updated AA-Omniscience v1.1, 6 points ahead of Claude Opus 5.5 max, 48 and 8 points ahead of Gemini 4 Argon 46 . Accuracy % correct rises 10 points over Argon to 58%, while its hallucination rate rises from 4% to 11%. This is still the second lowest of any model, behind only Argon, compared with 50% for both Claude Opus 5.5 max and GPT-6 Astra max Key model details: ➤ Context Window: 1M tokens ➤ Multimodality: Text, image, video, and speech input, with text output ➤ Pricing: $4/$20 per 1M input/output tokens, the same as Gemini 4 Argon’s standard pricing, with a 50% discount. Cached input tokens receive a 95% discount $0.20 per 1M at standard pricing Read the latest GitHub Copilot Fusion orchestrates Anthropic and OpenAI models to balance performance and cost itHub has released Copilot Fusion in GitHub Copilot, which orchestrates between Anthropic and OpenAI models. It scores 2 points below Opus 5.5 in Claude Code at half the Cost per Task in the Coding Agent Index October 28, 2026 Announcing Artificial Analysis Intelligence Index v5 Index v5 features 2 new benchmarks and 3 upgrades. For the first time, the majority of the Index is built on private datasets October 27, 2026 Code2Video-AA: how well do AI models design videos in code? Artificial Analysis' implementation of HeyGen's Code2Video Bench, evaluating how well models create short product and brand videos from 114 design briefs using HyperFrames HTML. October 26, 2026