GPT-5.1 Codex mini (high) vs Mistral 7B Instruct: 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 7B Instruct 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 7B Instruct 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 7B Instruct comparison will break down every critical metric to help you make the best decision.

Explore best-for scenarios•Let the AI Selector recommend next steps

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 7B Instruct

Mistral

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 108.326tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the GPT-5.1 Codex mini (high) vs Mistral 7B Instruct 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 7B Instruct 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 7B Instruct`.

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 7B Instruct debate, GPT-5.1 Codex mini (high) scores 90 against Mistral 7B Instruct's 60. This data-driven approach is essential for any serious GPT-5.1 Codex mini (high) vs Mistral 7B Instruct 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 7B Instruct 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 7B Instruct300ms

Tokens per Second

GPT-5.1 Codex mini (high)74.764

Mistral 7B Instruct108.326

Head to the playground to validate these results yourself

The Economics of GPT-5.1 Codex mini (high) vs Mistral 7B Instruct

Power is only one part of the equation. This GPT-5.1 Codex mini (high) vs Mistral 7B Instruct 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 7B Instruct would cost $0.000. This practical calculation is vital for any developer considering the GPT-5.1 Codex mini (high) vs Mistral 7B Instruct choice.

Review the complete pricing and packaging strategy

Which Model Wins the GPT-5.1 Codex mini (high) vs Mistral 7B Instruct 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 7B Instruct decision.

Choose Mistral 7B Instruct 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 7B Instruct choice.

You are developing at scale where operational costs are critical.

Explore all Best picks Use the AI Selector for a tailored recommendation

Your Questions about the GPT-5.1 Codex mini (high) vs Mistral 7B Instruct Comparison

Review the full evaluation methodology · Read the latest analysis posts

Data source: https://artificialanalysis.ai/