+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 1.5 Pro vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 18.1% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than o4-mini. o4-mini is $7.00 cheaper per million tokens. Overall, o4-mini is the stronger choice for coding tasks.
+
+
+
+
Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
+
+
+
+
OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
11 months newer
Gemini 1.5 Pro
2024-05-01
o4-mini
OpenAI
2025-04-16
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Gemini 1.5 Pro
Input:$2.50
Output:$10.00
+
+
+
+
o4-mini
Input:$1.10
Output:$4.40($7.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
Gemini 1.5 Pro
Average Score:64.4%
+
+
+
+
o4-mini
Average Score:82.4%(+18.1%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
o4-mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
o4-mini
+
+
+
+
Gemini 1.5 Pro
Avg Score:64.4%
Providers:1
+
+
+
+
o4-mini
Avg Score:82.4%(+18.1%)
Providers:1