CharXiv-R

CharXiv-R is the reasoning component of the CharXiv benchmark, focusing on complex reasoning questions that require synthesizing information across visual chart elements. It evaluates multimodal large language models on their ability to understand and reason about scientific charts from arXiv papers through various reasoning tasks.

Claude Mythos Preview from Anthropic currently leads the CharXiv-R leaderboard with a score of 0.932 across 35 evaluated AI models.

Paper

AnthropicClaude Mythos Preview leads with 93.2%, followed by AnthropicClaude Opus 4.7 at 91.0% and Moonshot AIKimi K2.6 at 86.7%.

Progress Over Time

Interactive timeline showing model performance evolution on CharXiv-R

State-of-the-art frontier
Open
Proprietary

CharXiv-R Leaderboard

35 models
ContextCostLicense
1
21.0M$5.00 / $25.00
3
Moonshot AI
Moonshot AI
1.0T262K$0.95 / $4.00
4
5
OpenAI
OpenAI
400K$1.75 / $14.00
6400K$5.00 / $30.00
7
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$0.50 / $3.00
8
9
OpenAI
OpenAI
101.0M$0.50 / $3.00
11
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
12
OpenAI
OpenAI
13
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
28B262K$0.60 / $3.60
14
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B
15
Moonshot AI
Moonshot AI
1.0T
15
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B262K$0.25 / $2.00
171.0M$5.00 / $25.00
18
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B262K$0.40 / $3.20
191.0M$0.25 / $1.50
20
OpenAI
OpenAI
21
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B262K$0.45 / $3.49
22
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
23
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
24
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B262K$0.30 / $1.50
25
OpenAI
OpenAI
128K$2.50 / $10.00
261.0M$0.40 / $1.60
27
OpenAI
OpenAI
1.0M$2.00 / $8.00
28
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
29
OpenAI
OpenAI
30
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.18 / $2.09
31
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $1.00
32
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
33
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.08 / $0.50
341.0M$0.10 / $0.40
35
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $0.60
Notice missing or incorrect data?

FAQ

Common questions about CharXiv-R.

What is the CharXiv-R benchmark?

CharXiv-R is the reasoning component of the CharXiv benchmark, focusing on complex reasoning questions that require synthesizing information across visual chart elements. It evaluates multimodal large language models on their ability to understand and reason about scientific charts from arXiv papers through various reasoning tasks.

What is the CharXiv-R leaderboard?

The CharXiv-R leaderboard ranks 35 AI models based on their performance on this benchmark. Currently, Claude Mythos Preview by Anthropic leads with a score of 0.932. The average score across all models is 0.695.

What is the highest CharXiv-R score?

The highest CharXiv-R score is 0.932, achieved by Claude Mythos Preview from Anthropic.

How many models are evaluated on CharXiv-R?

35 models have been evaluated on the CharXiv-R benchmark, with 0 verified results and 35 self-reported results.

Where can I find the CharXiv-R paper?

The CharXiv-R paper is available at https://arxiv.org/abs/2406.18521. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does CharXiv-R cover?

CharXiv-R is categorized under multimodal, reasoning, and vision. The benchmark evaluates multimodal models.

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