GPT-5.1 Codex mini (high) vs Mistral Large 3: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the GPT-5.1 Codex mini (high) vs Mistral Large 3 Showdown

After a comprehensive analysis, GPT-5.1 Codex mini (high) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Mistral Large 3 remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed GPT-5.1 Codex mini (high) vs Mistral Large 3 comparison will break down every critical metric to help you make the best decision.

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Model Snapshot

Key decision metrics at a glance.

GPT-5.1 Codex mini (high)

OpenAI

Reasoning: 9
Coding: 4
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 74.764tokens/sec

Mistral Large 3

Mistral

Reasoning: 4
Coding: 2
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 56.624tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the GPT-5.1 Codex mini (high) vs Mistral Large 3 matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our GPT-5.1 Codex mini (high) vs Mistral Large 3 analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GPT-5.1 Codex mini (high)` vs `Mistral Large 3`.

Benchmark Breakdown

For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the GPT-5.1 Codex mini (high) vs Mistral Large 3 debate, GPT-5.1 Codex mini (high) scores 90 against Mistral Large 3's 40. This data-driven approach is essential for any serious GPT-5.1 Codex mini (high) vs Mistral Large 3 comparison.

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Speed & Latency

Speed is a crucial factor in the GPT-5.1 Codex mini (high) vs Mistral Large 3 decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

GPT-5.1 Codex mini (high)300ms

Mistral Large 3300ms

Tokens per Second

GPT-5.1 Codex mini (high)74.764

Mistral Large 356.624

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The Economics of GPT-5.1 Codex mini (high) vs Mistral Large 3

Power is only one part of the equation. This GPT-5.1 Codex mini (high) vs Mistral Large 3 pricing analysis gives you a true sense of value.

Pricing Breakdown

Compare input and output pricing at a glance.

Real-World Cost Scenario

To process 1M input tokens and generate 250k output tokens, GPT-5.1 Codex mini (high) would cost $0.001, whereas Mistral Large 3 would cost $0.001. This practical calculation is vital for any developer considering the GPT-5.1 Codex mini (high) vs Mistral Large 3 choice.

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Which Model Wins the GPT-5.1 Codex mini (high) vs Mistral Large 3 Battle for You?

Choose GPT-5.1 Codex mini (high) if...

Your top priority is raw performance and capability.

You are working in a technical or scientific field requiring the highest accuracy.

Cost is a secondary concern to power in your GPT-5.1 Codex mini (high) vs Mistral Large 3 decision.

Choose Mistral Large 3 if...

You need a highly responsive model for user-facing applications.

Your budget is a primary consideration in the GPT-5.1 Codex mini (high) vs Mistral Large 3 choice.

You are developing at scale where operational costs are critical.

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Your Questions about the GPT-5.1 Codex mini (high) vs Mistral Large 3 Comparison

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Data source: https://artificialanalysis.ai/