Compute Comparison
OpenAI/GPT-6FrontierPartial

gpt-6

chatcodingvisionreasoningresearch
gpt-6 Pricing per 1M tokens
Input$10.00
Output$50.00
Cached input$5.00
View OpenAI
Context Window
1.2M
tokens
gpt-6 Max Output
66K
tokens
gpt-6 Throughput
80
tokens/sec
gpt-6 Latency P50
900ms
time to first token
About gpt-6Editorial

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.

gpt-6 Intelligence Score
98/100
98

Composite quality score based on reasoning, coding, and instruction-following benchmarks.

gpt-6 Pricing vs Frontier Tier
CheapestThis modelMost expensive
$0.200$10.00$150.00

Input price vs 135 frontier models tracked. Avg: $5.69/1M.

Benchmark Scores4 categories

Industry-standard benchmarks grouped by capability. Higher is better. Hover a row for benchmark description.

Reasoningavg 76
HLE (Humanity's Last Exam)42/100
GPQA Diamond88/100
MMLU97/100
Codingavg 87
Coding (HumanEval / SWE composite)95/100
SWE-bench Verified78/100
Terminal-Bench (CLI)88/100
Agenticavg 67
OSWorld (Computer Use)82/100
BrowseComp (Web Browsing)90/100
AutoBench (Work Automation)28/100
Multimodalavg 94
Multimodal (composite)93/100
MMMU90/100
ChartQA96/100
DocVQA97/100
HLEHumanity's Last Exam
GPQAGraduate-level science Q&A
SWE-benchReal GitHub issues (agentic coding)
OSWorldGUI task completion on real desktop
BrowseCompComplex web research via agentic browsing
MMMUMultimodal college-level reasoning
ChartQAChart and figure understanding
DocVQADocument visual question answering
gpt-6 Capabilities
Vision / Images✓
Function Calling✓
Streaming✓
Prompt Caching✓
Reasoning / CoT✗
Open Weights✗
Computer Use✗
Web Search✗
gpt-6 Full Specifications
Model IDgpt-6
ProviderOpenAI
Model FamilyGPT-6
TierFrontier
Context Window1,200,000 tokens (1.2M)
Max Output Tokens65,536 tokens
Input Price$10 / 1M tokens
Output Price$50 / 1M tokens
Cached Input Price$5 / 1M tokens
Throughput80 tokens/sec
Latency (P50)900ms
Intelligence Score98/100
LiveBench Score—
Cost per Task (LiveBench)—
Data ConfidencePartial
HLE Score42/100
GPQA Diamond88/100
SWE-bench Score78/100
OSWorld Score82/100
BrowseComp Score90/100
Terminal-Bench Score88/100
AutoBench Score28/100
Parameters—
Vision SupportYes
Function CallingYes
StreamingYes
Reasoning ModelNo
Open WeightsNo
Data SourceStatic (verified)
Last Updated2026-09-01

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gpt-6 Frequently Asked Questions