Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-R1

DeepSeek

DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Grok-1.5

xAI

Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI's latest advancement in AI technology.

Grok-1.5

xAI

2024-03-28

DeepSeek-R1

DeepSeek

2025-01-20

9 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-R1

Larger context

Max Context:262.1K

Parameters:671.0B

Grok-1.5

Max Context:-

Average performance across 3 common benchmarks

DeepSeek-R1

+26.0%

Average Score:82.1%

Grok-1.5

Average Score:56.1%

Performance comparison across key benchmark categories

DeepSeek-R1

math

+32.8%

97.3%

code

+8.0%

82.1%

general

+19.2%

75.3%

Grok-1.5

math

64.5%

code

74.1%

general

56.1%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-R1

4 providers

Together

Throughput: 4 tok/s

Latency: 0.6ms

DeepInfra

Throughput: 0.9 tok/s

Latency: 0.3ms

Fireworks

Throughput: 2.1 tok/s

Latency: 0.3ms

DeepSeek

Throughput: 9 tok/s

Latency: 0.3ms

Grok-1.5

0 providers

DeepSeek-R1

+26.0%

Avg Score:82.1%

Providers:4

Grok-1.5

Avg Score:56.1%

Providers:0