Gemini 3 Flash vs GPT-OSS 120B

Detailed comparison between Gemini 3 Flash and GPT-OSS 120B for RAG applications. See which LLM best meets your accuracy, performance, and cost needs.

Model Comparison

Gemini 3 Flash takes the lead.

Both Gemini 3 Flash and GPT-OSS 120B are powerful language models designed for RAG applications. However, their performance characteristics differ in important ways.

Why Gemini 3 Flash:

  • Gemini 3 Flash has 304 higher ELO rating
  • Gemini 3 Flash delivers better overall quality (4.95 vs 4.85)
  • Gemini 3 Flash is 3.4s faster on average
  • Gemini 3 Flash has a 43.1% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Gemini 3 Flash

1607

GPT-OSS 120B

1303

Win Rate

Head-to-head performance

Gemini 3 Flash

61.0%

GPT-OSS 120B

17.9%

Quality Score

Overall quality metric

Gemini 3 Flash

4.95

GPT-OSS 120B

4.85

Average Latency

Response time

Gemini 3 Flash

7802ms

GPT-OSS 120B

11199ms

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

MetricGemini 3 FlashGPT-OSS 120BDescription
Overall Performance
ELO Rating
1607
1303
Overall ranking quality based on pairwise comparisons
Win Rate
61.0%
17.9%
Percentage of comparisons won against other models
Quality Score
4.95
4.85
Average quality across all RAG metrics
Pricing & Context
Input Price per 1M
$0.50
$0.04
Cost per million input tokens
Output Price per 1M
$3.00
$0.19
Cost per million output tokens
Context Window
1049K
131K
Maximum context window size
Release Date
2025-12-17
2025-08-05
Model release date
Performance Metrics
Avg Latency
7.8s
11.2s
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

MetricGemini 3 FlashGPT-OSS 120BDescription
Quality Metrics
Correctness
4.83
4.93
Factual accuracy of responses
Faithfulness
4.87
4.90
Adherence to source material
Grounding
4.87
4.90
Citations and context usage
Relevance
5.00
4.97
Query alignment and focus
Completeness
4.90
4.80
Coverage of all aspects
Overall
4.89
4.90
Average across all metrics
Latency Metrics
Mean
6852ms
5616ms
Average response time
Min3389ms1255msFastest response time
Max9837ms20330msSlowest response time

PG

MetricGemini 3 FlashGPT-OSS 120BDescription
Quality Metrics
Correctness
5.00
4.87
Factual accuracy of responses
Faithfulness
5.00
4.87
Adherence to source material
Grounding
5.00
4.87
Citations and context usage
Relevance
5.00
4.90
Query alignment and focus
Completeness
5.00
4.83
Coverage of all aspects
Overall
5.00
4.87
Average across all metrics
Latency Metrics
Mean
9444ms
19128ms
Average response time
Min5346ms1317msFastest response time
Max12549ms69491msSlowest response time

SciFact

MetricGemini 3 FlashGPT-OSS 120BDescription
Quality Metrics
Correctness
5.00
4.80
Factual accuracy of responses
Faithfulness
5.00
4.87
Adherence to source material
Grounding
5.00
4.87
Citations and context usage
Relevance
4.97
4.77
Query alignment and focus
Completeness
4.83
4.67
Coverage of all aspects
Overall
4.96
4.79
Average across all metrics
Latency Metrics
Mean
7110ms
8854ms
Average response time
Min3784ms0msFastest response time
Max18224ms35709msSlowest response time

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