GPT-5.4 vs Mistral Large (Comparative Analysis)
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Comparative Analysis: GPT-5.4 vs. Mistral Large
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Overview
Mistral Large was released 2 years before GPT-5.4.
 GPT-5.4 |  Mistral Large | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Mistral |
Input Context Window Maximum input tokens this model can process at once | 1.1M tokens | 128K 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 | March 5, 2026 4 months ago March 5th, 2026 | February 26, 2024 2 years ago February 26th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | November 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5.4 | Mistral Large | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text📁File |
Reasoning Controls Defaults and configurable reasoning effort | OptionalEffort: Extra High, High, Medium, Low, NoneDefault: 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 ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Pricing
GPT-5.4 is roughly 1.3x more expensive compared to Mistral Large for input tokens and roughly 2.5x more expensive for output tokens.
| GPT-5.4 | Mistral Large | |
|---|---|---|
Short Context Pricing Base rates before a long-context threshold applies | ||
Input Token Cost Cost per million input tokens | $2.50 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million output tokens | $15.00 per million tokens | $6.00 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 | $0.25 per million tokens | $0.20 per million tokens |
Long Context Pricing Rates for prompts with 272,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | $5.00 per million tokens | Not specified |
Output Token Cost Long-context output cost per million tokens | $22.50 per million tokens | Not specified |
Cache Read Cost Long-context cache read cost per million tokens | $0.50 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GPT-5.4 and Mistral Large.
| GPT-5.4 | Mistral Large | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 51.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 71.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 41.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,296 Elo (#19 in Game Dev (57.6% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-5.4 and Mistral Large unique.
GPT-5.4 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 1.1M token context window. Premium pricing at $2.50/M input and $15.00/M output tokens. Released March 5th, 2026.Mistral Large by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Reasonably priced at $2.00/M input and $6.00/M output tokens. Released February 26th, 2024.Explore More Comparisons
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Models optimized for creative writing
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💻Technology
Technical analysis and explanations
🔬Science
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🌐Translation
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