GPT-5 Nano vs Voxtral Small 24B 2507 (Comparative Analysis)
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Comparative Analysis: GPT-5 Nano vs. Voxtral Small 24B 2507
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Overview
GPT-5 Nano was released 2 months before Voxtral Small 24B 2507.
 GPT-5 Nano |  Voxtral Small 24B 2507 | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Mistral |
Input Context Window Maximum input tokens this model can process at once | 400K tokens | 32K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | Not specified tokens |
Release Date When this model first became publicly available | August 7, 2025 11 months ago August 7th, 2025 | October 30, 2025 8 months ago October 30th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | May 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5 Nano | Voxtral Small 24B 2507 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text🎵Audio📁File |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: High, Medium, Low, MinimalDefault: Medium | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-5 Nano is roughly 0.5x less expensive compared to Voxtral Small 24B 2507 for input tokens and roughly 1.3x more expensive for output tokens.
| GPT-5 Nano | Voxtral Small 24B 2507 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.05 per million tokens | $0.10 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $0.30 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.0050 per million tokens | $0.01 per million tokens |
Audio Input Cost Additional cost for audio input | Not specified | $0.0001 per unit |
Benchmarks
Compare relevant benchmarks between GPT-5 Nano and Voxtral Small 24B 2507.
| GPT-5 Nano | Voxtral Small 24B 2507 | |
|---|---|---|
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,132 Elo (#80 in Website (48.9% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-5 Nano and Voxtral Small 24B 2507 unique.
GPT-5 Nano by OpenAI understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 400K token context window. Very affordable at $0.05/M input and $0.40/M output tokens. Includes built-in content moderation for safer outputs. Released August 7th, 2025.Voxtral Small 24B 2507 by Mistral handles audio, can use external tools and APIs, generates structured data. It can handle standard conversations with its 32K token context window. Very affordable at $0.10/M input and $0.30/M output tokens. Released October 30th, 2025.Explore More Comparisons
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Compare Voxtral Small 24B 2507 with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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