GPT-5
OpenAI's flagship general-purpose model. Superseded by GPT-5.5 in April 2026.
Specifications
- Context window
- 400,000 tokens
- Modality
- text, vision, audio
- License
- proprietary
- Family
- GPT
- Release date
- 2025-08-07
Links
Provider status
Timeline
Released
Initial public availability.
Pricing changes, lineage updates, and new benchmark results appear here as they happen. See the releases feed for the latest vendor activity.
API pricing
| Tier | Input / 1M tokens | Output / 1M tokens | Cache read | As of |
|---|---|---|---|---|
| standard | $5.00 | $30.00 | — | 2025-08-07 · source ↗ |
Looking for consumer subscriptions? See OpenAI's plans →
Benchmarks
Model Index →| Benchmark | Score | Setting | Measured | Source |
|---|---|---|---|---|
| MMLU-Pro general knowledge | 85.1% | 5-shot CoT | 2025-08-07 | source ↗ |
| GPQA Diamond reasoning | 87.3% | 0-shot CoT | 2025-08-07 | source ↗ |
| HumanEval coding | 95.2% | pass@1 | 2025-08-07 | source ↗ |
| Aider Polyglot coding | 85.4% | edit + test | 2025-09-01 | source ↗ |
| AIME 2025 math | 91.0% | CoT max-thinking | 2025-08-07 | source ↗ |
| LiveCodeBench coding | 74.5% | pass@1, post-cutoff | 2025-09-15 | source ↗ |
| MMMU multimodal | 74.1% | val | 2025-08-07 | source ↗ |
Want to see how GPT-5 ranks across these? Open the Model Index leaderboard →
Infrastructure context
All intelligence →Compute, silicon, and capex events that shape GPT-5's economics.
- Data center
Microsoft Fairwater Wisconsin: dedicated 1.5GW OpenAI training campus
Microsoft's Mount Pleasant, WI "Fairwater" campus — disclosed as a dedicated OpenAI training facility — reached 1.5GW configuration by Q1 2026 with NVIDIA GB200 NVL72 racks. The site uses closed-loop water cooling to reduce evaporative loss. Total Microsoft AI capex run-rate for FY26 is ~$110B.
Accelerators: GB200Power: 1.50 GWLocation: Mount Pleasant, WI - Data center
Stargate Abilene: OpenAI + Oracle + SoftBank $500B compute pact, first 1.2GW campus
Stargate is a 4-year, $500B compute commitment announced January 2025, jointly funded by OpenAI, Oracle, SoftBank, and MGX. The flagship 1.2GW Abilene, TX campus came online in phases through 2025–2026, anchored by Oracle Cloud. Additional sites in Wisconsin and New Mexico are under construction. Powers OpenAI's training fleet for GPT-5.5 and beyond.
Power: 1.20 GWCapex: $500BLocation: Abilene, TX
Compare GPT-5 with…
Agents built on GPT-5
Related news
Replit expands access to software creation with GPT-5.6 Luna
Replit introduced Free Mode powered by GPT-5.6 Luna, letting anyone turn ideas into working software without worrying about token costs. The change lowers the barrier to software creation by removing usage fees, which could broaden access for hobbyists and nontechnical users.
The builder’s guide to GPT‑5.6
Startups are using GPT-5.6 to build faster, more cost-efficient AI agents by combining smarter model selection with new Responses API capabilities. The update matters because it signals a practical shift toward routing tasks across models and APIs to improve agent performance while reducing cost.
Previewing Ultrafast mode: GPT-5.6 Sol at up to 14X the speed
OpenAI is previewing Ultrafast, a new API service tier that runs GPT-5.6 Sol up to 14× faster and, with Cerebras, can deliver up to 750 output tokens per second. The speedup matters for latency-sensitive applications and shows how specialized hardware is being used to push frontier model inference rates much higher.
Model ML completes finance work more efficiently with GPT-5.6 Sol
Model ML uses GPT-5.6 Sol to handle finance work from research and analysis through editable, traceable PowerPoint decks and Excel workbooks. It matters because the workflow keeps outputs in familiar business formats while preserving editability and traceability for finance teams.
Expanding Daybreak as the Cyber Defense Window Narrows
OpenAI has introduced GPT-5.6-Cyber, a cybersecurity-specific model available through Daybreak Red for authorized vulnerability research, exploit validation, and security testing. It matters because it gives defenders a dedicated model for controlled offensive security work as the window for identifying and validating vulnerabilities narrows.
Improving GPT-5.6 Sol in ChatGPT—and expanding access for free users
ChatGPT has improved GPT-5.6 Sol with better accuracy and consistency, while also expanding access for free users and adding unlimited everyday chats with GPT-5.6 Luna. This matters because it gives more users broader access to newer models and makes the higher-quality Sol variant more reliable for everyday use.
OpenAI SDK v2.53.0
Version 2.53.0, released 2026-08-03, adds gpt-5.5 and tool name/namespace fields to Responses types. It also fixes CI by avoiding NumPy source builds and duplicate HTTPX coverage, which mainly affects build reliability and SDK type coverage.
Advancing the price-performance frontier with GPT-5.6
OpenAI says GPT-5.6 lowers pricing for Luna and Terra as part of a push to improve price-performance for enterprise AI workflows. The notable detail is that more efficient models are being positioned to let companies scale deployments more affordably.