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Gemini 1.0 Pro vs Mistral Large 2
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Mistral Large 2 offers 215.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $6.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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Mistral AI
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
5 months newer
Gemini 1.0 Pro
2024-02-15
Mistral Large 2
Mistral AI
2024-07-24
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($6.00 cheaper)
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Mistral Large 2
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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Gemini 1.0 Pro
Average Score:33.5%
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Mistral Large 2
Average Score:33.7%(+0.2%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Mistral Large 2
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Gemini 1.0 Pro
Avg Score:33.5%
Providers:1
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Mistral Large 2
Avg Score:33.7%(+0.2%)
Providers:2