Gemini 2.5 Flash vs Mistral Nemo (Comparative Analysis)
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Comparative Analysis: Gemini 2.5 Flash vs. Mistral Nemo
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Overview
Mistral Nemo was released 11 months before Gemini 2.5 Flash.
 Gemini 2.5 Flash |  Mistral Nemo | |
|---|---|---|
Model Provider The organization behind this AI's development | Google | Mistral |
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 65.5K tokens | 16.4K tokens |
Release Date When this model first became publicly available | June 17, 2025 1 year ago June 17th, 2025 | July 19, 2024 2 years ago July 19th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | January 31, 2025 | April 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Gemini 2.5 Flash | Mistral Nemo | |
|---|---|---|
Input Types Supported input formats | 📁File🖼️Image📝Text🎵Audio🎬Video | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Gemini | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
Gemini 2.5 Flash is roughly 15.0x more expensive compared to Mistral Nemo for input tokens and roughly 83.3x more expensive for output tokens.
| Gemini 2.5 Flash | Mistral Nemo | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.30 per million tokens | $0.02 per million tokens |
Output Token Cost Cost per million output tokens | $2.50 per million tokens | $0.03 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.014 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.03 per million tokens | Not specified |
Cache Write Cost Cost to write input tokens to the cache | $0.08 per million tokens | Not specified |
Reasoning Token Cost Cost for internal reasoning tokens | $2.50 per million tokens | Not specified |
Image Input Cost Additional cost for each image input | $0.0000003 per image | Not specified |
Audio Input Cost Additional cost for audio input | $0.000001 per unit | Not specified |
Audio Cache Cost Cost to reuse cached audio input tokens | $0.10 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between Gemini 2.5 Flash and Mistral Nemo.
| Gemini 2.5 Flash | Mistral Nemo | |
|---|---|---|
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,159 Elo (#67 in Data Viz (48.4% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes Gemini 2.5 Flash and Mistral Nemo unique.
Gemini 2.5 Flash by Google understands both text and images, handles audio, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1M token context window. Reasonably priced at $0.30/M input and $2.50/M output tokens. Released June 17th, 2025.Mistral Nemo by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.02/M input and $0.03/M output tokens. Released July 19th, 2024.Explore More Comparisons
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