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Gemini 2.0 Flash vs Phi 4
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 7.1% higher average benchmark score. Gemini 2.0 Flash offers 1.0M more tokens in context window than Phi 4. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. Overall, Gemini 2.0 Flash is the stronger choice for coding tasks.
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Gemini 2.0 Flash was developed as the next generation of Google's fast multimodal model, designed to provide improved performance while maintaining the speed and efficiency that defines the Flash family. Built with enhanced reasoning and generation capabilities, it serves applications requiring both quality and responsiveness.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
11 days newer
Gemini 2.0 Flash
2024-12-01
Phi 4
Microsoft
2024-12-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.0 Flash
Input:$0.10
Output:$0.40
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Phi 4
Input:$0.07
Output:$0.14($0.29 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 2.0 Flash
Average Score:76.1%(+7.1%)
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Phi 4
Average Score:69.0%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
Gemini 2.0 Flash
2024-08-01
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 2.0 Flash
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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Phi 4
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Gemini 2.0 Flash
Avg Score:76.1%(+7.1%)
Providers:1
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Phi 4
Avg Score:69.0%
Providers:1