Codestral 25.01 wins on price ($0.9 vs $2.5/1M input). GPT-5.4 wins on coding (90 vs 88) and writing quality. For most workflows, GPT-5.4 is the stronger default — best for agentic automation and desktop control workflows.
The safest Codestral 25.01 vs GPT-5.4 default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
GPT-5.4 is the strongest answer here for Codestral 25.01 vs GPT-5.4 — pick it when quality of output matters more than the $2.50/1M/1M input you pay for it.
Codestral 25.01 handles the same job for about 79% less per token. Start here and only move up if the output is not good enough.
Codestral 25.01 is the fastest of these for Codestral 25.01 vs GPT-5.4 — worth it when latency is what the reader notices, not the last few points of reasoning depth.
GPT-5.4 leads on coding with a score of 90 vs 88 for Codestral 25.01.
GPT-5.4 has the larger context window: 272K vs 256K for Codestral 25.01.
Codestral 25.01 is cheaper at $0.9/1M input tokens vs $2.5/1M for GPT-5.4.
Choose GPT-5.4 for agentic workflows, desktop automation, and complex multi-step reasoning. Its coding and research scores are what carry the recommendation here.
Codestral 25.01 earns its place when your work is mostly affordable high-volume coding support, even though it loses the overall count here.
Codestral 25.01 is the more cost-efficient option at $0.9/1M input — GPT-5.4 costs 3x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.
Switch the scoring lens to see whether the Codestral 25.01 vs GPT-5.4 answer changes when cost, speed, or long-document depth leads the decision.
OpenAI / Premium / Sep 3, 2026
Best for agentic automation and desktop control workflows.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need the highest current coding benchmark scores — Claude Opus 4.7 and GPT-5.5 are newer premium picks.
Where the Codestral 25.01 vs GPT-5.4 recommendation shifts once you weigh price or latency differently.
Best budget-focused coding specialist for high-volume developer teams.
Best for agentic automation and desktop control workflows.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| GPT-5.4OpenAI | $2.50/1M | $15.00/1M | $55 | 272k tokens | Balanced | 90 | 88 | 88 |
| Codestral 25.01Mistral | $0.90/1M | $2.70/1M | $14 | 256k tokens | Very fast | 88 | 38 | 52 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for Codestral 25.01 vs GPT-5.4, what it is genuinely good at, and where we would steer you away from it.
Ranked first here for Codestral 25.01 vs GPT-5.4: 90/100 on coding, with the widest margin of anything in this line-up.
OpenAI's latest flagship with unique desktop-control capabilities — it can see your screen, click, and navigate apps via the API.
You need the highest current coding benchmark scores — Claude Opus 4.7 and GPT-5.5 are newer premium picks.
Best choice when you need a model that can operate software autonomously at the older GPT-5.4 price tier. For current premium coding quality, Claude Opus 4.7 leads.
Full pricing, benchmark table and release notes on the GPT-5.4 page.
Where most budgets should land for Codestral 25.01 vs GPT-5.4 — about 79% less per token than GPT-5.4, and still 88/100 on the coding axis.
Coding-specialist model designed for fast engineering assistance at a budget-conscious price point.
You need a single model that also handles writing or deep document synthesis.
The sharpest cheap coding specialist when cost control is part of the engineering plan.
Full pricing, benchmark table and release notes on the Codestral 25.01 page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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GPT-5.4 wins on more of the categories we score — coding, research, reasoning — so it is the better default of the two. Codestral 25.01 is the better pick when your work is mostly affordable high-volume coding support. Neither is universally "better": GPT-5.4 is aimed at agentic workflows and desktop automation, Codestral 25.01 at affordable high-volume coding support.
Codestral 25.01 is cheaper at $0.9/1M input and $2.7/1M output. GPT-5.4 costs $2.5/1M input and $15/1M output.
GPT-5.4 has the larger context window at 272K tokens vs Codestral 25.01's 256K. For large document analysis, GPT-5.4 is the stronger pick.
GPT-5.4 is better for coding with a score of 90 vs Codestral 25.01's 88 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
Codestral 25.01 is faster with a very fast speed rating (score: 5) vs GPT-5.4's balanced rating (score: 3). Speed matters most for interactive and high-throughput work; for batch jobs the GPT-5.4 latency penalty is usually invisible.
Claude Opus 4.7 and GPT-5.5 now outperform it on current premium coding benchmarks. Smaller context window (272K) vs Gemini 3.1 Pro (2M) for research. Avoid it if you need the highest current coding benchmark scores — Claude Opus 4.7 and GPT-5.5 are newer premium picks. That is the main case for looking at Codestral 25.01 instead.
Weaker on non-technical writing and nuanced strategy work. Grok 4 now offers stronger coding with a 2M context at only $2/$6. Avoid it if you need a single model that also handles writing or deep document synthesis. Against GPT-5.4 specifically, the gap shows up most on coding (90 vs 88).
Take a moderate workload of 10M input and 2M output tokens a month. Codestral 25.01 runs $14.40 (at $0.9/1M in and $2.7/1M out); GPT-5.4 runs $55.00 (at $2.5/1M in and $15/1M out). That is a $40.60/month difference — Codestral 25.01 is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Yes, and for most teams that beats picking one. A common split is GPT-5.4 for agentic workflows and desktop automation, with Codestral 25.01 handling affordable high-volume coding support. Routing high-volume, low-stakes calls to Codestral 25.01 at $0.9/1M and reserving GPT-5.4 for the hard cases is usually the cheapest arrangement that does not cost you quality.