Gemini 2.0 Pro is Google's most advanced model to date, delivering exceptional coding performance and handling complex prompts with ease. It comes equipped with enhanced capabilities such as native tool integration, image generation, and speech synthesis. Designed for advanced reasoning, the model supports multimodal inputs, including text, images, video, and audio. Available via Google AI Studio and Vertex AI, it offers substantial performance improvements over previous versions while maintaining high efficiency.
Mistral Large 2, developed by Mistral, offers a 128K-token context window and is priced at $3.00 per million input tokens and $9.00 per million output tokens. Released on July 24, 2024, the model scored 84.0 on the MMLU benchmark in a 5-shot evaluation, demonstrating strong performance in diverse tasks.
| Gemini 2.0 Pro | Mistral Large 2 | |
|---|---|---|
Web Site
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Provider
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Chat
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Release Date
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Modalities
| text images voice video | text |
API Providers
| Google AI Studio, Vertex AI | Azure AI, AWS Bedrock, Google AI Studio, Vertex AI, Snowflake Cortex |
Knowledge Cut-off Date
| 08.2024 | Unknown |
Open Source
| No | Yes |
Pricing Input
| $0.10 per million tokens | $3.00 per million tokens |
Pricing Output
| $0.40 per million tokens | $9.00 per million tokens |
MMLU
| Not available | 84% 5-shot Source |
MMLU-Pro
| 79.1% Source | 50.69% Source |
MMMU
| 72.7% Source | Not available |
HellaSwag
| Not available | Not available |
HumanEval
| Not available | Not available |
MATH
| 91.8% Source | 1.13% Source |
GPQA
| 64.7% Diamond Source | 24.94% |
IFEval
| Not available | 84.01% |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - |
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