Frontier Log

Gemini 4 Carbon's Table Moves Rivals' Scores

Google's Gemini 4 Carbon table took Terminal-Bench 4.0 scores from Artificial Analysis; a month earlier, Argon's table had Claude Opus 5.5 6.8 points higher.

Terminal-Bench 4.0 scores, a column per model with score up the axis. Each figure is the model's lab logo, ringed by who published it, joined by arrows in date order: the lab's own launch report (Anthropic orange or OpenAI charcoal ring), Google's Gemini 4 Argon table of Sep 30 (dashed Google blue ring) and Google's Gemini 4 Carbon table of Oct 28, from Artificial Analysis (solid Google blue ring, on a tinted band). Gemini 4 Carbon: 65.2 in Carbon's table only. Claude Opus 5.5: 66.4, 66.4, then 59.6. GPT-6 Astra: 57.9, 58.2, then 59.1. Below the chart, the three published tables, each cropped to its header and Terminal-Bench 4.0 row: Anthropic's Claude Opus 5.5 post (Opus 5.5 66.4%, Fable 5.1 55.8%, Opus 5 52.3%, GPT-6 Astra 57.9%, GPT-5.6 Sol 37.3%); Google's Gemini 4 Argon post (Argon 57.4%, GPT-6 Astra 58.2%, Claude Fable 5.1 57.9%, Claude Opus 5.5 66.4%); Google's Gemini 4 Carbon post, row marked (AA) (Carbon 65.2%, Argon 57.1%, GPT-6 Astra 59.1%, Claude Opus 5.5 59.6%, Claude Fable 5.1 52.0%).
On Terminal-Bench 4.0, Google's Argon table (Sep 30) and Carbon table (Oct 28, from Artificial Analysis) print different scores for the same models: Claude Opus 5.5 at 66.4% then 59.6%, Fable 5.1 at 57.9% then 52.0%. Carbon's 65.2% is AA's figure. Download

Google launched Gemini 4 Carbon on Oct 28 with a table comparing it with Gemini 4 Argon, GPT-6 Astra, Claude Opus 5.5 and Claude Fable 5.1. Its Terminal-Bench 4.0 row is marked "(AA)": Google's evaluation document says the results "are sourced from Artificial Analysis" for every model, Carbon included. Argon’s launch table printed the same row for the same four models on Sep 30, from other sources.

Three figures for most models

For Claude Opus 5.5, Anthropic reported 66.4% at its "xhigh" effort setting, and Argon's table printed the same 66.4%. Carbon's table prints 59.6%, 6.8 points lower. For Claude Fable 5.1, Anthropic reported 55.8%, Argon's table printed 57.9% and Carbon's prints 52.0%.

GPT-6 Astra moves the other way: OpenAI reported 57.9%, Argon's table printed 58.2% and Carbon's prints 59.1%. Google's own Argon scored 57.4% in Google's run at its launch and 57.1% in Artificial Analysis's figure in Carbon's table.

Where each table's figures came from

Argon's evaluation document says Google computed Argon's score itself and took the others "from the official public leaderboard", using "the highest scoring thinking level for each model as reported by the Terminal Bench authors". Carbon's document gives no harness or effort setting for the Artificial Analysis figures.

Carbon's own 65.2% is also Artificial Analysis's figure, and it is the top score in Carbon's row. In Argon's table, the top score was Opus 5.5's 66.4%.

For Gemini 3.8 Flash on Sep 2, Google took other models' Terminal-Bench 2.1 scores "from the public leaderboard and Artificial Analysis", its evaluation document says, without marking which came from where.

Two other launches printed AA's runs

Of the 70 flagship launch posts in Frontier Log's reporting inventory, from January 2025 to mid-October 2026, two printed Artificial Analysis's runs of benchmarks made by others. MiniMax-M2’s model card in October 2025 headed its table "Metric (AA)" and said all other models' scores came from Artificial Analysis. Mistral Large 4, on Oct 6, labelled its Terminal-Bench 4.0 chart "AA - Terminal-Bench 4". Benchmarks that Artificial Analysis builds itself, such as GDPval-AA, appear far more often.

For how much the agent harness alone can move one model's score, see Does the Harness Version Change a Model's Score?.

Terminal-Bench 4.0, each lab's own report

ModelScoreSources
Claude Fable 5.155.8%Announcementbenchmark table, row 'Terminal-Bench 4.0', column 'Fable 5.1' (the cell also prints a Mythos 5.1 figure)
GPT-6 Astra57.9%AnnouncementCoding table, row 'Terminal-Bench 4.0', column 'GPT‑6 Astra'
Claude Opus 5.566.4%Announcementbenchmark table, row 'Terminal-Bench 4.0', column 'Opus 5.5'
Gemini 4 Argon57.4%Announcementbenchmark table (image), row 'Terminal-bench 4.0', column 'Gemini 4 Argon'

Terminal-Bench 4.0, in Google's Gemini 4 Argon table

ModelValueSources
Gemini 4 ArgonGemini 4 Argon, computed by Google57.4%Announcementbenchmark table (image), row 'Terminal-bench 4.0', column 'Gemini 4 Argon'
Gemini 4 ArgonGPT-6 Astra, from the public leaderboard58.2%Announcementbenchmark table (image), row 'Terminal-bench 4.0', column 'GPT-6 Astra'
Gemini 4 ArgonClaude Opus 5.5, from the public leaderboard66.4%Announcementbenchmark table (image), row 'Terminal-bench 4.0', column 'Claude Opus 5.5'
Gemini 4 ArgonClaude Fable 5.1, from the public leaderboard57.9%Announcementbenchmark table (image), row 'Terminal-bench 4.0', column 'Claude Fable 5.1'

Terminal-Bench 4.0, in Google's Gemini 4 Carbon table, from Artificial Analysis

ModelValueSources
Gemini 4 CarbonGemini 4 Carbon, from Artificial Analysis65.2%Announcementbenchmark table (image), row 'Terminal-Bench 4.0 (AA)', column 'Gemini 4 Carbon'
Gemini 4 CarbonGemini 4 Argon, from Artificial Analysis57.1%Announcementbenchmark table (image), row 'Terminal-Bench 4.0 (AA)', column 'Gemini 4 Argon'
Gemini 4 CarbonGPT-6 Astra, from Artificial Analysis59.1%Announcementbenchmark table (image), row 'Terminal-Bench 4.0 (AA)', column 'GPT-6 Astra'
Gemini 4 CarbonClaude Opus 5.5, from Artificial Analysis59.6%Announcementbenchmark table (image), row 'Terminal-Bench 4.0 (AA)', column 'Claude Opus 5.5'
Gemini 4 CarbonClaude Fable 5.1, from Artificial Analysis52.0%Announcementbenchmark table (image), row 'Terminal-Bench 4.0 (AA)', column 'Claude Fable 5.1'

Timeline

  1. MiniMax MiniMax-M2's model card prints every model's scores from Artificial Analysis, under the heading 'Metric (AA)'MiniMax, model card, launch-day revision
  2. Google Gemini 3.8 Flash's table takes other models' Terminal-Bench 2.1 scores from the leaderboard and Artificial AnalysisGoogle, model evaluation document
  3. Google Gemini 4 Argon's table computes Argon's Terminal-Bench scores itself and takes other models' from the leaderboardGoogle, model evaluation document
  4. Mistral AI Mistral Large 4's Terminal-Bench 4.0 chart is labelled 'AA - Terminal-Bench 4'Mistral AI, blog post
  5. Google Gemini 4 Carbon's table takes both Terminal-Bench rows from Artificial Analysis for every modelGoogle, model evaluation document

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