Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Gemini 1.0 Pro

Google

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.

Magistral Small 2506

Mistral AI

Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Gemini 1.0 Pro

Google

2024-02-15

Magistral Small 2506

Mistral AI

2025-06-10

1 year newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Magistral Small 2506

Max Context:-

Parameters:24.0B

Average performance across 1 common benchmarks

Gemini 1.0 Pro

Average Score:27.9%

Magistral Small 2506

+40.3%

Average Score:68.2%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

general

51.4%

Magistral Small 2506

general

+15.8%

67.2%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemini 1.0 Pro

2024-02-01

Magistral Small 2506

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

Magistral Small 2506

0 providers

Gemini 1.0 Pro

Avg Score:27.9%

Providers:1

Magistral Small 2506

+40.3%

Avg Score:68.2%

Providers:0