Codestral 2508 vs Nova Pro 1.0 (Comparative Analysis)
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Comparative Analysis: Codestral 2508 vs. Nova Pro 1.0
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Overview
Nova Pro 1.0 was released 7 months before Codestral 2508.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 256K tokens | 300K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 5.1K tokens |
Release Date When this model first became publicly available | August 1, 2025 12 months ago August 1st, 2025 | December 5, 2024 1 year ago December 5th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2025 | October 31, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Codestral 2508 | Nova Pro 1.0 | |
|---|---|---|
Input Types Supported input formats | 📝Text📁File | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Mistral | Nova |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function CallingStructured OutputReasoning Mode✓Content Moderation |
Pricing
Codestral 2508 is roughly 0.4x less expensive compared to Nova Pro 1.0 for input tokens and roughly 0.3x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.30 per million tokens | $0.80 per million tokens |
Output Token Cost Cost per million output tokens | $0.90 per million tokens | $3.20 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.03 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between Codestral 2508 and Nova Pro 1.0.
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,078 Elo (#85 in 3D (45.5% win rate)) | 821 Elo (#119 in Website (21.4% win rate)) |
At a Glance
Quick overview of what makes Codestral 2508 and Nova Pro 1.0 unique.
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