Originally published on Remote OpenClaw.
The best OpenAI model for most developers and professionals in April 2026 is GPT-5.4, which scores 92 on BenchLM's composite ranking and delivers native computer-use capabilities with a 1M token context window at $2.50/$15 per million tokens. If cost matters more than peak intelligence, GPT-5.4 Mini at $0.75/$4.50 per million tokens runs over 2x faster while retaining strong reasoning and coding performance across most practical workloads.
The entire GPT-5.4 family replaced every prior OpenAI model generation. As of April 2026, GPT-4o, o3, o4-mini, and GPT-4.1 are all retired from ChatGPT's model picker. If you still see those names referenced in older articles, that content no longer reflects the current lineup.
Using OpenClaw? See our dedicated OpenAI setup guide for OpenClaw, which covers API configuration and persona compatibility. This page is the general model comparison for anyone evaluating OpenAI's current offerings.
Key Takeaways
- GPT-5.4 is OpenAI's flagship model as of March 2026, with a 1M token context window and native computer-use capabilities.
- GPT-5.4 makes 33% fewer factual errors than GPT-5.2 and scores 83% on OpenAI's GDPval knowledge-work benchmark.
- GPT-5.4 Mini ($0.75/$4.50 per MTok) runs 2x faster than the standard variant and handles most production workloads.
- GPT-5.4 Pro ($30/$180 per MTok) is the ceiling option for maximum reasoning depth on hard problems.
- GPT-5.2 retires in June 2026 — developers still on it should migrate now.
In this guide
- The GPT-5.4 Model Lineup
- Benchmark Rankings and Competitive Standing
- Best OpenAI Model for Coding
- Best OpenAI Model for Reasoning
- Best OpenAI Model for Creative Work
- Pricing Tier Guide
- What Changed in 2026
- Limitations and Tradeoffs
- FAQ
The GPT-5.4 Model Lineup
OpenAI's current model family consists of five variants released between late 2025 and early 2026, each targeting a different cost-performance tradeoff. Every variant in the GPT-5.4 family shares the same base architecture but differs in size, speed, and pricing.
Model
Context Window
Input / Output (per MTok)
Best For
GPT-5.4
1M tokens
$2.50 / $15.00
General-purpose flagship
GPT-5.4 Thinking
1M tokens
Interactive reasoning
Hard multi-step problems
GPT-5.4 Pro
1M tokens
$30.00 / $180.00
Maximum reasoning depth
GPT-5.4 Mini
400K tokens
$0.75 / $4.50
High-volume production
GPT-5.4 Nano
400K tokens
Lowest tier
Edge and embedded use
The introduction of Mini and Nano is explicitly designed for the subagent era, where multi-agent systems need cheap, fast models for routing, classification, and simple tool calls while reserving the flagship for complex reasoning steps.
Benchmark Rankings and Competitive Standing
GPT-5.4 currently holds the top composite score on BenchLM at 92, ahead of Gemini 3.1 Pro at 87 and Claude Opus 4.6 at 85. The gap is meaningful on aggregate but narrows or reverses depending on the specific benchmark category.
Benchmark
GPT-5.4
Claude Opus 4.6
Gemini 3.1 Pro
BenchLM Composite
92
85
87
GDPval (knowledge work)
83%
—
—
GPQA Diamond
~89.9%
91.3%
~87.2%
SWE-bench Verified
~78.2%
80.8%
80.6%
Video-MME (multimodal)
~71.4%
—
78.2%
Two patterns stand out. Claude Opus 4.6 leads on scientific reasoning (GPQA Diamond) and coding (SWE-bench). Gemini 3.1 Pro leads on multimodal tasks, especially video understanding. GPT-5.4 wins on aggregate breadth — it does not lose badly anywhere, which is why it tops composite scores.
As of April 2026, Chatbot Arena still shows GPT-5.4 and Claude Opus 4.6 trading the top positions depending on the category, with Gemini 3.1 Pro close behind.
Best OpenAI Model for Coding
GPT-5.4 is a strong coding model but not the outright leader on SWE-bench Verified as of April 2026. Claude Opus 4.6 holds 80.8% and Gemini 3.1 Pro holds 80.6%, while GPT-5.4 sits around 78.2%.
Where GPT-5.4 genuinely excels for coding is computer-use workflows. It is the first general-purpose model with native desktop control, which means it can operate IDEs, run tests, navigate browser-based tools, and chain actions across applications. For agentic coding pipelines that go beyond pure code generation, this is a real differentiator.
For pure code generation and repository-scale refactoring, Claude Sonnet 4.6 at $3/$15 per million tokens often delivers comparable results at lower cost. The right choice depends on whether your coding workflow is mostly generation or mostly agent-driven automation.
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Best OpenAI Model for Reasoning
GPT-5.4 Pro is OpenAI's ceiling for hard reasoning tasks, priced at $30/$180 per million tokens. It is designed for problems that need extended thinking time — mathematical proofs, complex legal analysis, multi-step scientific reasoning — where the standard model hits its limits.
For most reasoning tasks that do not require that ceiling, GPT-5.4 Thinking mode provides the same extended reasoning capability at interactive pricing. OpenAI reports that GPT-5.4 makes 33% fewer factual errors than GPT-5.2 and 18% fewer errors in overall responses, which compounds significantly in multi-step reasoning chains.
On graduate-level scientific reasoning (GPQA Diamond), Claude Opus 4.6 still leads at 91.3% compared to GPT-5.4's approximately 89.9%. For most practical reasoning work, this difference is marginal, but it matters in research and scientific analysis use cases.
Best OpenAI Model for Creative Work
GPT-5.4 is a capable creative writing model, but independent blind evaluations in Q1 2026 show that Claude-generated content was preferred 47% of the time versus 29% for GPT-5.4 and 24% for Gemini 3.1 Pro in writing quality tests.
GPT-5.4's strength in creative work is versatility rather than raw prose quality. Its native computer-use capability means it can research, draft, format, and publish in a single workflow — an advantage for content teams that value end-to-end automation over peak writing style.
For long-form content specifically, Claude Opus 4.6 supports a 64K max output window compared to GPT-5.4's standard output limits, which makes a practical difference for novel-length generation, detailed technical documentation, and multi-chapter outputs.
Pricing Tier Guide
OpenAI's pricing structure as of April 2026 spans a 40x range from Nano to Pro, making model selection primarily a cost-performance tradeoff decision.
Model
Input (per MTok)
Output (per MTok)
Batch Discount
Context
GPT-5.4 Pro
$30.00
$180.00
—
1M
GPT-5.4
$2.50
$15.00
50% ($1.25/$7.50)
1M
GPT-5.4 Mini
$0.75
$4.50
Available
400K
GPT-5.4 Nano
Lowest
Lowest
—
400K
Regional processing endpoints carry a 10% price uplift. For high-volume production, the Batch API cuts GPT-5.4 standard pricing to $1.25/$7.50 per million tokens, making it competitive with Mini for latency-insensitive workloads.
Compared to competitors at the flagship tier: Claude Opus 4.6 costs $5/$25 per million tokens, and Gemini 3.1 Pro costs $2/$12. GPT-5.4 sits between Gemini and Claude on price while generally sitting between them on most benchmarks as well.
What Changed in 2026
The biggest structural change in OpenAI's 2026 lineup is the retirement of every pre-GPT-5 model family. The o-series reasoning models (o1, o3, o4-mini) and the GPT-4 family (GPT-4o, GPT-4.1) are gone. Everything is now GPT-5.4.
This simplification matters because it eliminated the confusing split between "reasoning models" and "chat models" that defined 2025. GPT-5.4 Thinking mode absorbs the o-series use case, while GPT-5.4 standard absorbs GPT-4o and GPT-4.1. Developers no longer need to route between fundamentally different model architectures.
The other major shift is native computer use. GPT-5.4 is the first model from any major provider to ship with built-in desktop control as a core feature rather than a research preview. This changes the competitive landscape for agentic frameworks that depend on tool-calling and browser automation.
Limitations and Tradeoffs
GPT-5.4 is not the best choice for every use case.
Coding purists should benchmark against Claude. On SWE-bench Verified, Claude Opus 4.6 and Gemini 3.1 Pro both outperform GPT-5.4. If your primary workload is code generation and repository-scale refactoring, test both before committing.
Cost-sensitive production should evaluate Gemini. Gemini 3.1 Pro at $2/$12 per million tokens undercuts GPT-5.4 while scoring within a few points on most benchmarks. For high-volume API calls, that pricing gap compounds fast.
Writing quality lags behind Claude. In blind evaluations, Claude-generated content is preferred roughly 1.6x more often than GPT-5.4 content. If writing quality is your primary metric, Claude is the stronger pick.
The 400K context limit on Mini and Nano matters. If your workflow needs the full 1M context window, you are locked into the standard or Pro tier. Mini and Nano are not just smaller — they see less of your input.
Related Guides
- Best Claude Models in 2026 — Sonnet vs Opus vs Haiku Compared
- Best Google Gemini Models in 2026 — Pro vs Flash vs Nano
- AI Agent Frameworks Compared 2026
- Best AI Tools for Productivity 2026
FAQ
What is the best OpenAI model in 2026?
GPT-5.4 is the best overall OpenAI model as of April 2026. It holds a 92 composite score on BenchLM, supports a 1M token context window, and is the first model with native computer-use capabilities. For budget-conscious workloads, GPT-5.4 Mini delivers strong performance at roughly one-third the cost.
Is GPT-5.4 better than Claude Opus 4.6?
It depends on the task. GPT-5.4 wins on composite benchmarks and has stronger computer-use capabilities. Claude Opus 4.6 leads on coding (80.8% vs 78.2% SWE-bench), scientific reasoning (91.3% vs ~89.9% GPQA Diamond), and writing quality. Neither dominates across all categories.
What happened to GPT-4o and the o3 models?
All GPT-4 series models and o-series reasoning models were retired in early 2026. The entire ChatGPT and API lineup is now part of the GPT-5 family, with GPT-5.4 as the current generation. GPT-5.2 is scheduled for retirement in June 2026.
How much does the OpenAI API cost in 2026?
OpenAI API pricing in April 2026 ranges from GPT-5.4 Nano at the lowest tier up to GPT-5.4 Pro at $30/$180 per million tokens. The standard GPT-5.4 model costs $2.50 input and $15.00 output per million tokens, with a 50% batch discount available.
Should I use GPT-5.4 or GPT-5.4 Mini?
Use GPT-5.4 Mini for high-volume production where speed and cost matter more than peak reasoning. Use GPT-5.4 standard when you need the 1M context window or maximum intelligence. Mini runs 2x faster and costs roughly 70% less, making it the default choice for most automated pipelines.
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