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Gemini 2.5 Pro Preview 06-05 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 21.5% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 858.1K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $11.05 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
9 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Gemini 2.5 Pro Preview 06-05
2025-06-05
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro Preview 06-05
Input:$1.25
Output:$10.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($11.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 43 common benchmarks
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Gemini 2.5 Pro Preview 06-05
Average Score:20.8%
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Phi-3.5-mini-instruct
Average Score:42.3%(+21.5%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro Preview 06-05
2025-01-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Pro Preview 06-05
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Phi-3.5-mini-instruct
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Gemini 2.5 Pro Preview 06-05
Avg Score:20.8%
Providers:1
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Phi-3.5-mini-instruct
Avg Score:42.3%(+21.5%)
Providers:1