すべての評価

VIALS-AA Benchmark

VIALS-AA is Artificial Analysis' implementation of Handshake AI's VIALS benchmark. It tests whether language models can interpret scientific images and answer questions about the evidence they contain.
タスク例を見る

VIALS: A Benchmark for Visual Interpretation of Artifacts in the Life Sciences

Elaine Lau、Thanuka Udumulla、Lee Izhaki-Tavor、Francisco Guzmán、Nicholas Magazine、Jonas Mueller。

VIALS-AA スコア

Gemini 4 Carbon (High)がVIALS-AA スコアで最高スコア64%を獲得。次いでGPT-6 Astra (Max)(スコア:63%)、Claude Opus 5.5 (Max, Default Fallback)(スコア:61%)

タスクあたりのコスト

GPT-6 Luna (Max)はVIALS-AAのタスクあたりのコストが$0.02で最も低い。次いでGPT-6.1 Sol (Max)($0.06)、Claude Haiku 5.5 (Max)($0.07)

使用した出力トークン

GPT-6 Astra (Max)はVIALS-AAの実行に使用した出力トークンが356kで最も少ない。次いでGPT-6.1 Sol (Max)(410k)、GPT-6.1 Terra (Max)(1.21M)

スコア

VIALS-AA: スコア

3回すべて正解したタスクの割合 (pass^3)
No publicly available API

VIALS-AA:スコア vs. タスクあたりのコスト

VIALS-AA スコア · タスクあたりのコスト (USD) · 各タスクの3回の反復評価にわたって平均します
Most attractive quadrant
Pareto line

VIALS-AA: スコア・3回の平均・pass@3の比較

スコア(pass^3)、3回の反復評価の平均正答率、少なくとも1回正解したタスクの割合(pass@3)
No publicly available API

タスク例

アーティファクト分野
Blotting

質問

In the 2D gel electrophoresis image, find the labeled spot 22 and estimate its kDa range by observing its position on the y-axis (MW in kDa). Provide your answer as a kDa range (e.g., 10-20 kDa).

出典: VIALS 2.0.0

参照回答

40-50 kDa

元画像

クリックして拡大

画像の出典 · CC BY 4.0 (US)

モデルの回答

モデルごとに保存された1回の反復評価を表示します。合否はその反復評価に対するものです。

GPT-6.1 Sol (Max)

反復評価1

合格

最終回答

40-50 kDa

提出回答の全文

Spot 22 is just below the 50 kDa level on the y-axis. ANSWER: 40-50 kDa

採点モデルの説明

The candidate gives the same kDa range as the ground truth, so the numeric range matches exactly.

合格

最終回答

40-50 kDa

提出回答の全文

To determine the molecular weight (kDa) range of labeled spot 22 in the 2D gel electrophoresis image:

  1. Identification of Spot 22:

    • Looking at the acidic (left) side of the gel (around pH 4.8 - 5.1), the label '22' is located below spots 46 and 69, and to the left of spot 24.
    • An arrow under the label '22' points down and to the right toward the protein spot.
    • The protein spot is located at a vertical position just below the 50 kDa molecular weight marker.
  2. Observation of the y-axis (MW in kDa):

    • The molecular weight markers on the left y-axis are labeled at 220, 100, 70, 50, 40, 30, 20, and 10 kDa.
    • Spot 22 is located vertically between the 50 kDa marker line (above it) and the 40 kDa marker line (below it), migrating at approximately 47-49 kDa.
    • Thus, observing the position of spot 22 relative to the y-axis markers places it in the 40-50 kDa range.

ANSWER: 40-50 kDa

採点モデルの説明

The candidate gives the same kDa range as the ground truth, with no numeric or formatting difference.

Grok 4.7 (Xhigh)

反復評価1

不合格

最終回答

50-70 kDa

提出回答の全文

Spot 22 is on the acidic side of the gel, just above the 50 kDa marker and well below the 70 kDa marker. Its label lies between those two y-axis ticks, and the short leader ends on the 50 kDa line, so the spot is at the low end of the 50–70 kDa interval (about 50–55 kDa), not in the 40–50 kDa interval.

ANSWER: 50-70 kDa

採点モデルの説明

The ranges 50-70 kDa and 40-50 kDa do not match; numeric ranges must agree under the strict numeric rule.

エージェントの実行過程の例は公開記事をご覧ください。

分野別の結果

VIALS-AA: 分野別スコア

アーティファクト分野ごとの、3回すべて正解したタスクの割合。色は、テストしたすべてのモデルを対象に分野ごとに正規化しています。

コスト

VIALS-AA:タスクあたりのコスト

VIALS-AAのタスク当たり平均実行コスト(USD)。トークン使用量と、代表的なキャッシュヒット率を含むモデル料金から算出 · 各タスクの3回の反復評価にわたって平均します
No publicly available API

トークン使用量

VIALS-AA:タスクあたりの出力トークン

VIALS-AAのタスク当たりに消費した推論トークンと回答トークンの平均 · 各タスクの3回の反復評価にわたって平均します
No publicly available API

速度

VIALS-AA:タスクあたりの時間

タスクあたりの推定所要時間(分):回答・推論の生成時間とツール実行時間の合計 · 各タスクの3回の反復評価にわたって平均します · Lower is better
No publicly available API

ターン数

VIALS-AA: タスクあたりの平均ターン数

VIALS-AA タスクあたりの平均モデルターン数 · Lower is better
No publicly available API

ツール使用状況

VIALS-AA: ツール呼び出しの内訳

VIALS-AA タスクあたりの平均ツール呼び出し数、ツールの種類別
No publicly available API

ツール使用の詳しい分類は公開記事をご覧ください。

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