Mistral AIMistral Small 4VSOpenAIGPT-5.4 nano

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

We recommend GPT-5.4 nano for complex complex codebases, multi-file repositories, and architectural planning, or the 1.8x cheaper Mistral Small 4 if your budget requires optimizing costs for very high-volume pipelines. While GPT-5.4 nano offers a clear reasoning advantage, it carries a moderate price premium. Choose GPT-5.4 nano for architectural codebase planning, or Mistral Small 4 to save on API costs for simple scripts.

▶WHY?

Benchmark Calculations & Evidence:

Coding Evaluation: Mistral Small 4 was evaluated on LiveCodeBench (scoring 63.6%), while GPT-5.4 nano was evaluated on SWE-bench Pro (scoring 52.4%).

Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. GPT-5.4 nano scored 82.8%, while Mistral Small 4 scored 71.2%.

Cost Efficiency: Mistral Small 4 pricing ($0.15/M input, $0.6/M output) is 1.8x cheaper than GPT-5.4 nano ($0.2/M input, $1.25/M output).

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Model Specs

Mistral Small 4

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (live-code-bench)

63.6%

scripting single-file apps or clearly defined functions

Reasoning (gpqa-diamond)

71.2%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.8x cheaper

$0.26Input: $0.15 | Output: $0.60

Context Window

262.14k tokens

Model Specs

GPT-5.4 nano

Website

Benchmarks & Scores

Coding (swe-bench-pro)

52.4%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)Winner (+11.6%)

82.8%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$0.46Input: $0.20 | Output: $1.25

Context WindowLarger

400k tokens

Read our data collection methodology

Frequently Asked Questions about Mistral Small 4 vs GPT-5.4 nano

Mistral Small 4 is cheaper than GPT-5.4 nano. Mistral Small 4 has a blended cost of $0.26/1M tokens, which is about 1.8x cheaper than GPT-5.4 nano at $0.46/1M tokens.

For coding tasks, Mistral Small 4 scores 63.6% on live-code-bench (scripting single-file apps or clearly defined functions), while GPT-5.4 nano scores 52.4% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).

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