Grok 4 Fast vs Gemini 2.5 Pro

Detailed comparison between Grok 4 Fast and Gemini 2.5 Pro for RAG applications. See which LLM best meets your accuracy, performance, and cost needs.

Model Comparison

Grok 4 Fast takes the lead.

Both Grok 4 Fast and Gemini 2.5 Pro are powerful language models designed for RAG applications. However, their performance characteristics differ in important ways.

Why Grok 4 Fast:

  • Grok 4 Fast has 228 higher ELO rating
  • Grok 4 Fast delivers better overall quality (4.96 vs 4.88)
  • Grok 4 Fast is 9.3s faster on average
  • Grok 4 Fast has a 24.7% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Grok 4 Fast

1657

Gemini 2.5 Pro

1429

Win Rate

Head-to-head performance

Grok 4 Fast

60.1%

Gemini 2.5 Pro

35.4%

Quality Score

Overall quality metric

Grok 4 Fast

4.96

Gemini 2.5 Pro

4.88

Average Latency

Response time

Grok 4 Fast

5851ms

Gemini 2.5 Pro

15199ms

Visual Performance Analysis

Performance

ELO Rating Comparison

Win/Loss/Tie Breakdown

Quality Across Datasets (Overall Score)

Latency Distribution (ms)

Breakdown

How the models stack up

MetricGrok 4 FastGemini 2.5 ProDescription
Overall Performance
ELO Rating
1657
1429
Overall ranking quality based on pairwise comparisons
Win Rate
60.1%
35.4%
Percentage of comparisons won against other models
Quality Score
4.96
4.88
Average quality across all RAG metrics
Pricing & Context
Input Price per 1M
$0.20
$1.25
Cost per million input tokens
Output Price per 1M
$0.50
$10.00
Cost per million output tokens
Context Window
2000K
1049K
Maximum context window size
Release Date
2025-09-19
2025-06-17
Model release date
Performance Metrics
Avg Latency
5.9s
15.2s
Average response time across all datasets

Dataset Performance

By benchmark

Comprehensive comparison of RAG quality metrics (correctness, faithfulness, grounding, relevance, completeness) and latency for each benchmark dataset.

MSMARCO

MetricGrok 4 FastGemini 2.5 ProDescription
Quality Metrics
Correctness
4.90
4.90
Factual accuracy of responses
Faithfulness
4.90
4.93
Adherence to source material
Grounding
4.90
4.93
Citations and context usage
Relevance
5.00
5.00
Query alignment and focus
Completeness
4.83
4.90
Coverage of all aspects
Overall
4.91
4.93
Average across all metrics
Latency Metrics
Mean
3894ms
12449ms
Average response time
Min1742ms7629msFastest response time
Max6649ms23066msSlowest response time

PG

MetricGrok 4 FastGemini 2.5 ProDescription
Quality Metrics
Correctness
5.00
5.00
Factual accuracy of responses
Faithfulness
5.00
5.00
Adherence to source material
Grounding
5.00
5.00
Citations and context usage
Relevance
5.00
5.00
Query alignment and focus
Completeness
4.93
5.00
Coverage of all aspects
Overall
4.99
5.00
Average across all metrics
Latency Metrics
Mean
9142ms
17834ms
Average response time
Min4767ms11067msFastest response time
Max17055ms49308msSlowest response time

SciFact

MetricGrok 4 FastGemini 2.5 ProDescription
Quality Metrics
Correctness
5.00
4.73
Factual accuracy of responses
Faithfulness
5.00
4.80
Adherence to source material
Grounding
5.00
4.80
Citations and context usage
Relevance
5.00
4.73
Query alignment and focus
Completeness
4.83
4.57
Coverage of all aspects
Overall
4.97
4.73
Average across all metrics
Latency Metrics
Mean
4516ms
15314ms
Average response time
Min2358ms8817msFastest response time
Max14942ms35365msSlowest response time

Explore More

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