GPT-5.4 vs Claude Opus 4.6
The two highest-rated AI models of 2026, head-to-head. OpenAI's versatile powerhouse versus Anthropic's coding champion — which deserves your subscription?
GPT-5.4 Thinking
OpenAI's most capable frontier model
Claude Opus 4.6
Anthropic's deep intelligence model
Both Score 4.95/5 — But For Different Reasons
Choose GPT-5.4 if you need:
- Long-document analysis (1M token context)
- Cost-effective API usage (6x cheaper input)
- Advanced math and scientific reasoning
- Terminal-heavy operations and computer use
Choose Claude Opus 4.6 if you need:
- Best-in-class code generation (SWE-Bench leader)
- Parallel agent teams for complex tasks
- Natural, human-quality writing
- Visual reasoning and multimodal understanding
12-Benchmark Head-to-Head
Independent benchmark scores from public evaluations, March 2026
GPT-5.4 wins more benchmarks overall, but Claude wins the most sought-after coding benchmark (SWE-Bench Verified).
Our Ratings
Pricing Breakdown
API Cost Winner: GPT-5.4 — At $2.50 per million input tokens, GPT-5.4 is 6x cheaper than Claude Opus 4.6 on input and 5x cheaper on output. For high-volume API users, this price difference is significant. However, for subscription users on the $20/mo tier, costs are equivalent.
Feature Comparison
GPT-5.4 Thinking
Strengths
- 1M context window — process entire codebases in one go
- 6x cheaper API pricing than Claude Opus 4.6
- Strongest math performance (47.6% FrontierMath)
- Intervene mid-response to correct course
- 33% fewer hallucinations vs GPT-5.2
- Best terminal operations (75.1% Terminal-Bench)
Weaknesses
- Behind Claude on real-world code quality (SWE-Bench)
- Writing feels less natural and more formulaic
- $200/mo Pro tier needed for full Thinking access
- Slower response times than non-reasoning models
Claude Opus 4.6
Strengths
- #1 on SWE-Bench Verified (80.8%) — best code quality
- Agent Teams spawn parallel sub-agents for complex work
- Most natural, human-like writing of any AI model
- Adaptive Thinking adjusts reasoning depth automatically
- Stronger on extreme difficulty tests (Humanity's Last Exam)
- Superior visual reasoning (85.1% MMMU-Pro)
Weaknesses
- 5x more expensive per API token than GPT-5.4
- 200K context — can't match GPT-5.4's 1M window
- Behind on math (27.2% vs 47.6% FrontierMath)
- No fine-tuning available yet
Best For Your Use Case
Pick GPT-5.4 Thinking for:
- Research & analysis — process entire books, legal documents, or codebases in one prompt
- Math & science — strongest mathematical reasoning of any model
- High-volume API usage — 6x cheaper makes it viable for production apps
- DevOps & terminal tasks — superior at shell commands and system operations
- Business analytics — excels at spreadsheet-heavy workflows and data analysis
Pick Claude Opus 4.6 for:
- Software engineering — best code quality on real-world GitHub issues
- Autonomous agents — Agent Teams can parallelize complex multi-step work
- Content writing — most natural, human-like prose of any AI model
- Image & document understanding — stronger visual reasoning capabilities
- Extremely hard problems — wins on Humanity's Last Exam by a wide margin
What Makes Each Model Unique
GPT-5.4: The Versatile All-Rounder
GPT-5.4 follows what OpenAI calls the "Versatile Tool User" path. It's the first model to integrate programming capabilities (from GPT-5.3 Codex), computer control, full-resolution vision, and tool search into a single general-purpose model.
The standout feature is mid-response intervention — GPT-5.4 Thinking outlines its plan upfront and lets you redirect it mid-task if you spot a missed detail. This is a first for reasoning models, which typically run to completion before you can course-correct.
GPT-5.4 is also the first mainline OpenAI model trained with compaction support, allowing it to compress and summarize earlier context during long agent trajectories. This makes the 1M context window practical for real-world agent workflows, not just a theoretical spec.
Claude Opus 4.6: The Deep Intelligence Specialist
Claude Opus 4.6 takes Anthropic's "Deep Intelligence" path. Rather than combining every capability into one model, it focuses on doing fewer things at an exceptional level — particularly coding and complex reasoning.
The Adaptive Thinking system automatically determines how much reasoning depth a problem requires. Simple questions get fast answers; complex coding tasks get extended chain-of-thought reasoning. This contrasts with GPT-5.4's approach where users manually select thinking modes.
The Agent Teams feature is unique to Claude — a main Claude instance can spawn multiple independent sub-agents that work in parallel on different parts of a task. For complex software engineering tasks that touch many files, this architectural advantage is difficult to match.
Frequently Asked Questions
Is GPT-5.4 better than Claude Opus 4.6?
It depends on your use case. GPT-5.4 wins more benchmarks overall (7 out of 12) and offers a much larger 1M token context window at lower API pricing. Claude Opus 4.6 leads in code quality (SWE-Bench Verified 80.8% vs 77.2%), visual reasoning, and natural writing. For coding-heavy work, Claude edges ahead; for general reasoning and long-document tasks, GPT-5.4 has the advantage.
Which is cheaper, GPT-5.4 or Claude Opus 4.6?
GPT-5.4 is significantly cheaper via API: $2.50/$15 per million tokens (input/output) compared to Claude Opus 4.6 at $15/$75. That makes GPT-5.4 roughly 6x cheaper on input and 5x cheaper on output. However, both are available through $20/month subscription tiers (ChatGPT Plus and Claude Pro) for casual use.
Which AI model is better for coding in 2026?
Claude Opus 4.6 is the stronger coding model. It scores 80.8% on SWE-Bench Verified (real-world GitHub issues) versus GPT-5.4's 77.2%. Claude also supports agent teams that can spawn parallel sub-agents for complex multi-file tasks. However, GPT-5.4 wins on Terminal-Bench (75.1% vs 65.4%) for terminal-heavy operations, and GPT-5.3 Codex (the dedicated coding model) scores even higher at 77.3% on Terminal-Bench.
Does GPT-5.4 have a larger context window than Claude?
Yes, GPT-5.4 supports up to 1 million tokens — 5x larger than Claude Opus 4.6's 200K context window. This means GPT-5.4 can process roughly 7 novels or an entire large codebase in a single conversation. Note that pricing increases for sessions exceeding 272K input tokens.
Can GPT-5.4 use a computer like Claude?
Yes. GPT-5.4 is OpenAI's first mainline model with built-in computer-use capabilities. Both GPT-5.4 and Claude Opus 4.6 can interact with desktop software, click buttons, fill forms, and navigate applications. On the OSWorld benchmark for computer control, GPT-5.4 scores 75.0% versus Claude's 72.7%.
Which model has fewer hallucinations?
GPT-5.4 claims 33% fewer false claims and 18% fewer error-containing responses compared to its predecessor GPT-5.2. Claude Opus 4.6 is known for cautious, well-calibrated responses. On graduate-level reasoning (GPQA), GPT-5.4 edges ahead with 92.8% vs 91.3%, but Claude wins on Humanity's Last Exam (53.1% vs 39.8%) — a test designed to be extremely difficult.
Should I switch from Claude to GPT-5.4?
Not necessarily. If you primarily use AI for coding and software engineering, Claude Opus 4.6 remains the stronger choice. If you need a versatile model for long-document analysis, general reasoning, math, or cost-effective API usage, GPT-5.4 offers better value. Many professionals use both — Claude for coding, GPT-5.4 for research and analysis.
What is GPT-5.4 Thinking vs GPT-5.4 Pro?
GPT-5.4 Thinking is the reasoning-focused variant available to Plus, Team, and Pro subscribers — it can outline its plan and let you intervene mid-response. GPT-5.4 Pro is the maximum-accuracy variant for enterprise use with the lowest hallucination rate, available only to Pro ($200/mo) and Enterprise subscribers. Both share the same 1M context window.
Related Comparisons & Reviews
The Best Choice? Use Both.
Many professionals pair GPT-5.4 for research, long-document analysis, and cost-effective API usage with Claude Opus 4.6 for coding, agents, and writing. They're complementary strengths, not an either-or decision.