Claude 3.5 Sonnet vs Grok-1.5V Comparison

Comparing Claude 3.5 Sonnet and Grok-1.5V across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Claude 3.5 Sonnet outperforms in 5 benchmarks (AI2D, ChartQA, DocVQA, MathVista, MMMU), while Grok-1.5V is better at 0 benchmarks.

Claude 3.5 Sonnet significantly outperforms across most benchmarks.

Sat Mar 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Mar 21 2026 • llm-stats.com
Anthropic
Claude 3.5 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
xAI
Grok-1.5V
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Claude 3.5 Sonnet specifies input context (200,000 tokens). Only Claude 3.5 Sonnet specifies output context (200,000 tokens).

Anthropic
Claude 3.5 Sonnet
Input200,000 tokens
Output200,000 tokens
xAI
Grok-1.5V
Input- tokens
Output- tokens
Sat Mar 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3.5 Sonnet and Grok-1.5V support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude 3.5 Sonnet

Text
Images
Audio
Video

Grok-1.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Claude 3.5 Sonnet

Proprietary

Closed source

Grok-1.5V

Proprietary

Closed source

Release Timeline

When each model was launched

Claude 3.5 Sonnet was released on 2024-10-22, while Grok-1.5V was released on 2024-04-12.

Claude 3.5 Sonnet is 6 months newer than Grok-1.5V.

Claude 3.5 Sonnet

Oct 22, 2024

1.4 years ago

6mo newer
Grok-1.5V

Apr 12, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Larger context window (200,000 tokens)
Higher AI2D score (94.7% vs 88.3%)
Higher ChartQA score (90.8% vs 76.1%)
Higher DocVQA score (95.2% vs 85.6%)
Higher MathVista score (67.7% vs 52.8%)
Higher MMMU score (68.3% vs 53.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.5 Sonnet
xAI
Grok-1.5V