OpenAI GPT-5: Release Date, Features, and How It Compares to Claude 4
TL;DR
- Current frontier: GPT-5.4 launched in early 2026 with 1M context, computer use, multimodal
- Next up: GPT-5.5 (codename "Spud") completed pretraining Q1 2026, expected deployment Q2 2026
- vs Claude Opus 4.6: Essentially tied on general reasoning; Claude leads coding, GPT leads computer use
- Pricing: GPT-5.4 at $10/$30 per million tokens (input/output)
- Verdict: Both are top-tier; your choice should depend on ecosystem and specific use case
"GPT-5" is one of the most searched terms in AI in 2026 — and also one of the most confusing. OpenAI uses a versioning scheme that doesn't follow the clean GPT-4 → GPT-5 progression most people expect. This guide clarifies exactly what OpenAI has shipped, what's coming, and how it stacks up against competitors.
The GPT-5 Generation: What OpenAI Has Shipped
OpenAI has been incrementally releasing GPT-5 generation models since late 2025, using version numbers rather than a single named launch:
| Model | Status | Context | Key Capability | Price (Input/Output) |
|---|---|---|---|---|
| GPT-5.4 | Available | 1M tokens | Computer use, multimodal, code interpreter | $10 / $30 per M tokens |
| GPT-5.4 mini | Available | 128K tokens | Fast, cost-efficient for agents | $0.40 / $1.60 per M tokens |
| GPT-5.4 nano | Available | 64K tokens | Ultra-low latency, high volume | $0.10 / $0.40 per M tokens |
| GPT-5.5 ("Spud") | Q2 2026 expected | TBD | Post-pretraining completed Q1 2026 | TBD |
| o3 (reasoning) | Available | 200K tokens | Extended reasoning, math, science | $10 / $40 per M tokens |
GPT-5.4 Key Features
1 Million Token Context Window
GPT-5.4 supports up to 1 million tokens in a single conversation — equivalent to roughly 750,000 words or the entirety of a large codebase. This makes it viable for whole-repository analysis, processing complete legal contracts, or analyzing year-long company communications in one pass.
Computer Use (OSWorld)
GPT-5.4 can control a computer — clicking, typing, navigating web browsers, and operating desktop applications via screenshot observation. On OSWorld benchmarks, it achieves near-human performance on routine computer tasks. This enables fully autonomous browser agents and GUI automation workflows.
Native Code Interpreter
GPT-5.4 runs Python natively in its context, executes data analysis, generates charts, processes uploaded files, and iterates on code errors in real-time. This makes it exceptionally strong for data science workflows directly in ChatGPT without additional tooling.
Advanced Multimodal
Processes images, audio, video frames, PDFs, and structured files natively. GPT-5.4 can analyze a screenshot and describe what actions to take, transcribe and summarize a meeting recording, or extract structured data from a scanned form — all within a single API call.
Improved Instruction Following
GPT-5.4 shows significantly improved compliance with complex, multi-step system prompts compared to GPT-4 series. It respects format requirements, length constraints, persona instructions, and negative constraints (things it should not do) far more reliably.
GPT-5 vs Claude Opus 4.6 vs Gemini 3.1 Pro: Head-to-Head
| Benchmark / Capability | GPT-5.4 | Claude Opus 4.6 | Gemini 3.1 Pro |
|---|---|---|---|
| MMLU (reasoning) | 92.1% | 91.8% | 91.4% |
| SWE-bench Verified (coding) | 68.9% | 72.5% | 63.1% |
| HumanEval (code gen) | 95.4% | 96.1% | 93.7% |
| OSWorld (computer use) | 38.2% | 32.7% | 30.1% |
| GPQA Diamond (science) | 78.3% | 79.1% | 77.6% |
| Context window | 1M tokens | 200K tokens | 2M tokens |
| Input price (per M tokens) | $10 | $15 | $7 |
| Output price (per M tokens) | $30 | $75 | $21 |
| Image / multimodal | Strong | Strong | Best (native video) |
When to Use GPT-5.4 vs Claude Opus 4.6
| Use Case | Recommended Model | Reason |
|---|---|---|
| Autonomous coding / agentic software dev | Claude Opus 4.6 | Higher SWE-bench, better instruction following in Claude Code |
| Computer use / GUI automation | GPT-5.4 | Leads on OSWorld benchmarks for computer control |
| Data analysis with code interpreter | GPT-5.4 | Native code interpreter, strong data viz, ChatGPT UX |
| Long document analysis (> 200K tokens) | GPT-5.4 or Gemini 3.1 Pro | 1M–2M token context; Claude Opus is capped at 200K |
| Safety-critical / compliant deployments | Claude Opus 4.6 | Constitutional AI training, stronger refusal calibration |
| Microsoft 365 / Azure / Teams integration | GPT-5.4 | Native Microsoft ecosystem integration |
| Cost-optimized high-volume inference | Gemini 3.1 Flash or GPT-5.4 mini | Significantly cheaper per token at comparable quality for most tasks |
What to Expect from GPT-5.5 ("Spud")
OpenAI confirmed GPT-5.5 pretraining completed in Q1 2026. The codename "Spud" has appeared in OpenAI internal communications and job listings. Based on what is known publicly:
- Significantly larger training compute than GPT-5.4 — likely 3–5x more FLOPs
- Enhanced agentic reliability — better at completing multi-step tasks without derailing
- Improved multimodal capabilities, possibly including native video generation
- Expected to maintain or improve on current pricing through efficiency gains
- Deployment expected Q2 2026 through ChatGPT Plus, API, and Azure OpenAI Service
The broader GPT-5 generation marks OpenAI's transition from language model to cognitive agent — the models are designed to complete multi-step, multi-tool tasks autonomously rather than respond to single prompts. GPT-5.5 is expected to push this further.
How to Access GPT-5.4 Today
ChatGPT Plus / Team / Enterprise
ChatGPT Plus ($20/month) gives access to GPT-5.4 with usage limits. ChatGPT Team and Enterprise offer higher limits and enterprise features. GPT-5.4 is the default model in ChatGPT for Plus subscribers.
OpenAI API
Access GPT-5.4 at $10/million input tokens and $30/million output tokens. Use model ID gpt-5.4. The mini variant is available at $0.40/$1.60 per million tokens.
Azure OpenAI Service
Enterprise teams on Microsoft Azure can access GPT-5.4 with data residency, VNet isolation, and no training data opt-out required. Pricing is similar to the OpenAI API with regional availability.
HappyCapy
HappyCapy provides access to Claude Sonnet 4.6 (comparable performance to GPT-5.4 on most tasks) bundled with content creation, image generation, and web search at $19/month — a cost-effective alternative for users who need AI capabilities across multiple domains.
Access Top AI Models with HappyCapy
HappyCapy gives you access to Claude Sonnet 4.6 — comparable to GPT-5.4 on most tasks — plus content creation, image generation, and web research tools in one platform starting at $19/month.
Try HappyCapy FreeFrequently Asked Questions
Has OpenAI released GPT-5?
OpenAI has not released a model literally named "GPT-5." The GPT-5 generation consists of GPT-5.4 (available now), GPT-5.4 mini, and GPT-5.5 ("Spud", expected Q2 2026). GPT-5.4 launched in early 2026 with 1M token context and computer use.
How does GPT-5 compare to Claude Opus 4.6?
The two models are essentially tied on most benchmarks. Claude Opus 4.6 leads on coding (SWE-bench 72.5% vs 68.9%). GPT-5.4 leads on computer use (OSWorld). Gemini 3.1 Pro offers the longest context (2M tokens) and best price. All three are world-class frontier models.
What is the context window size of GPT-5?
GPT-5.4 supports 1 million tokens — enough for large codebases, extensive legal document sets, or multi-year communications. This matches Claude Sonnet 4.6's 1M context. Claude Opus 4.6 is currently limited to 200K tokens.
Is GPT-5 better than Claude for coding?
Claude Opus 4.6 outperforms GPT-5.4 on SWE-bench Verified (72.5% vs 68.9%), the best real-world coding benchmark. For autonomous coding with Claude Code, the gap is more pronounced. For data science with code interpreter, GPT-5.4's native execution environment has advantages.
Sources: OpenAI model documentation, OpenAI API pricing page, Anthropic Claude documentation, SWE-bench leaderboard, OSWorld benchmark results, Bloomberg and The Information reporting on GPT-5.5 pretraining.