GPT-6 is OpenAI's flagship frontier model, representing a step-change in capability over the prior generation — higher scores across every major benchmark, a 1.2M-token context window, and native multimodal support spanning text, images, audio, and video inputs. GPT-6 is positioned as OpenAI's most capable model for complex reasoning, long-context analysis, and agentic workflows requiring sustained multi-step execution. It supports function calling, structured outputs, prompt caching, and streaming, and is available via the OpenAI API.
GPT-6 is priced at $10.00 per million input tokens and $50.00 per million output tokens — OpenAI's highest per-token price, reflecting its position as the most capable model in the lineup. Prompt caching reduces repeated input to $5.00/1M. At 1,000 input + 500 output tokens per call, it costs approximately $0.035 per 1,000 API calls. The Batch API cuts all prices by 50% for async workloads, making GPT-6 more accessible for high-volume offline tasks. For workloads where GPT-6's capability advantage over GPT-5.6 Sol is measurable — complex multi-step reasoning, full-codebase analysis, long-document synthesis — the cost premium is typically justified.
GPT-6 achieves an intelligence score of approximately 98/100 — the highest of any model in the catalog. The 1.2M-token context window enables full-codebase analysis, book-length document processing, and extended multi-turn agent sessions in a single API call. Vision capability covers images and video frames; audio input is supported via the same endpoint.
GPT-6 is best suited to tasks where maximum capability is required and cost is secondary: complex scientific reasoning, full-codebase refactoring, long-document synthesis, advanced agentic workflows, and research tasks requiring sustained multi-step execution. For cost-sensitive production workloads, lower-tier models in OpenAI's lineup deliver strong quality at a fraction of the price. GPT-6's main competitors are frontier-tier models from Anthropic and Google targeting the same high-capability tier. For teams already on OpenAI's API, GPT-6 is the natural upgrade path for tasks where lower-tier model quality is measurably insufficient.
Composite quality score based on reasoning, coding, and instruction-following benchmarks.
Input price vs 135 frontier models tracked. Avg: $5.69/1M.
Industry-standard benchmarks grouped by capability. Higher is better. Hover a row for benchmark description.
| Model ID | gpt-6 |
| Provider | OpenAI |
| Model Family | GPT-6 |
| Tier | Frontier |
| Context Window | 1,200,000 tokens (1.2M) |
| Max Output Tokens | 65,536 tokens |
| Input Price | $10 / 1M tokens |
| Output Price | $50 / 1M tokens |
| Cached Input Price | $5 / 1M tokens |
| Throughput | 80 tokens/sec |
| Latency (P50) | 900ms |
| Intelligence Score | 98/100 |
| LiveBench Score | — |
| Cost per Task (LiveBench) | — |
| Data Confidence | Partial |
| HLE Score | 42/100 |
| GPQA Diamond | 88/100 |
| SWE-bench Score | 78/100 |
| OSWorld Score | 82/100 |
| BrowseComp Score | 90/100 |
| Terminal-Bench Score | 88/100 |
| AutoBench Score | 28/100 |
| Parameters | — |
| Vision Support | Yes |
| Function Calling | Yes |
| Streaming | Yes |
| Reasoning Model | No |
| Open Weights | No |
| Data Source | Static (verified) |
| Last Updated | 2026-09-01 |
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