OpenAI's best general-purpose model — a strong flagship pick that punches above its price on input costs while delivering top-tier reasoning and multimodal capability.
90
Coding
88
Writing
91
Research
62
Images
58
Value
87
Long Context
Use this when
High-stakes professional tasks requiring deep reasoning, precise instruction-following, and reliable multimodal understanding.
Skip this if
You need real-time response speeds, are running high-volume automated pipelines where output token costs accumulate quickly, or require native image generation.
Pricing
$1.25/1M in
$10.00/1M out
→0%since May 2026
Context
400k tokens
Speed
Balanced
GPT-5specs & pricing
Verified Sep 4, 2026 against the AI Gateway catalog
Pricing is asymmetric: cheap on input ($1.25/1M) but expensive on output ($10/1M), so it favors read-heavy or summarization tasks over verbose generation. The 400K context window is one of the largest available at this price tier. Supersedes GPT-4o, which remains available at lower cost for lighter workloads.
Superior instruction-following and nuanced task interpretation compared to GPT-4o
400K context window handles large codebases, legal documents, or multi-document research sessions
Strong multimodal reasoning over images, charts, and mixed media inputs
Competitive pricing against Claude Sonnet 4.6 ($3/$15) while offering flagship-level capability
Weaknesses
Output cost of $10/1M tokens makes high-volume production workloads expensive relative to flash/mini alternatives
Speed is balanced rather than fast — not suitable for real-time or latency-sensitive applications
No native image generation; image capability is understanding only
Real-world use cases
What people actually use GPT-5 for.
Analyzing a 200-page legal contract and extracting key risk clauses with citations
Reviewing and refactoring a large multi-file Python codebase with architectural suggestions
Interpreting complex scientific charts and synthesizing findings from multiple uploaded research papers
How GPT-5 compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-6 Astra — Against GPT-6 Astra (OpenAI), GPT-5 runs about 81% cheaper per token, gives up 2.6x on context and answers faster. Take GPT-5 unless you specifically need what GPT-6 Astra does better.
vs Claude Fable 5 — Against Claude Fable 5 (Anthropic), GPT-5 runs about 81% cheaper per token, gives up 2.5x on context and answers faster. Take GPT-5 unless you specifically need what Claude Fable 5 does better.
vs Claude Fable 5.1 — Against Claude Fable 5.1 (Anthropic), GPT-5 runs about 81% cheaper per token, gives up 2.5x on context and answers faster. Take GPT-5 unless you specifically need what Claude Fable 5.1 does better.
Price History
GPT-5 pricing over time
→0% since May 10
47 data points · tracked daily since May 10, 2026
Ready to try it?
Start using GPT-5
High-stakes professional tasks requiring deep reasoning, precise instruction-following, and reliable multimodal understanding.. Start free — no card required.
OpenAI's September 3, 2026 frontier release — the first GPT-6 model and OpenAI's answer to Claude Fable 5.1 two days earlier. State of the art on computer use (OSWorld 2.0 72.6% in ~47% less time than GPT-5.6 Sol), agentic coding (Terminal-Bench 4.0 57.9%), and frontier math (FrontierMath Tier 4 97.6%). $10/$50 per 1M tokens, 1.05M context, 128K output, knowledge cutoff April 30, 2026.
Verdict
OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.
Quality score
99%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1.1M tokens
Released September 3, 2026. API ID gpt-6-astra; rolling out over the coming days to ChatGPT Plus, Pro, Business and Enterprise (usage inside existing allowances; GPT-6 Astra Pro for Pro/Business/Enterprise; Enterprise off by default), the OpenAI API, Microsoft Azure and Amazon Bedrock. Standard API pricing $10/$50 per 1M tokens; Fast mode is up to 2x speed at 2x price; cache reads and writes have separate rates. Model docs list 1,050,000 context, 128,000 max output, knowledge cutoff April 30, 2026, reasoning efforts up to 'max'. Published launch numbers (Astra / GPT-5.6 Sol / Fable 5.1 / Opus 5): OSWorld 2.0 72.6 / 65.7 / — / 70.2; Terminal-Bench 4.0 57.9 / 37.3 / 55.8 / 52.3; Terminal-Bench Science 0.1 64.6 / 22.4 / 52.6 / 30.0; FrontierMath Tier 4 v2 97.6 / 83.0 / 87.8 / 73.2; GPQA Diamond 96.0 / 94.6 / 93.7 / 93.7; Humanity's Last Exam w/ tools 57.2 / — / 65.0 / 63.6; AutomationBench 41.4 / 18.1 / 31.4 / 26.9; DeepSWE v1.1 74.1 / 72.7 / 67.4 / 73.7; ARC-AGI-2 95.0 / 92.5 / 90.0 / 90.4; ARC-AGI-3 99.9 (OpenAI responses-API harness; ARC Prize's stateless runs score far lower) / 7.8 / — / 30.2; ExploitBench 100.0 / 78.5 / — / 70; SRE-Bench 88.0 / 55.9; Artificial Analysis Intelligence Index v4.1.1 61.2 / 60.9 / 65.7 / 63.1. Meets the Critical threshold for cybersecurity under OpenAI's Preparedness Framework; advanced cyber workflows gated behind OpenAI Daybreak. All figures from OpenAI's launch post and model docs, verified September 4, 2026.
Computer use leaderFrontierAgenticReasoningLong contextPremiumNew
Best for
Computer and browser use, long-horizon agentic coding, and frontier math and science work
Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.
Verdict
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Launched June 9, 2026 as the public, Mythos-class release. Available on the Claude API, Microsoft Foundry, and Google Vertex AI. Free for all users until June 22, 2026. Same underlying model as Claude Mythos 5, with safeguards that block specific high-risk cyber responses.
Coding leaderSWE-Bench Pro #1Mythos-classParallel subagentsAgenticLong contextPremiumNew
Best for
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.
Verdict
New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Released September 1, 2026 alongside Claude Mythos 5.1, the first update to the Mythos-class line since Fable 5 on June 9. API ID claude-fable-5-1; generally available on the Claude API, Amazon Bedrock, Google Cloud, and Microsoft Foundry. Published launch numbers (Fable 5.1 / Fable 5 / Opus 5 / GPT-5.6 Sol): Terminal-Bench-Science 0.1 52.6 / 24.7 / 29.0 / 22.4; Terminal-Bench 4.0 55.8 / 42.0 / 52.3 / 37.3; CursorBench 3.2.0 73.4 / 70.5 / 70.0 / 67.2; AutomationBench 31.4 / 17.1 / 26.9 / 19.6; OSWorld 2.0 strict 41.7 / 36.1 / 39.6; Humanity's Last Exam (no tools) 60.9 / 57.8 / 56.6; GDPval-AA v2 1853 / 1723 / 1824 / 1711. GDPval-AA v2 is rescaled from the v1 numbers quoted on the Fable 5 page and is not directly comparable to them.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
OpenAI: GPT-5 — added to UseRightAI
OpenAI: GPT-5 (OpenAI) is now indexed. It supersedes GPT-4o. OpenAI's best general-purpose model — a strong flagship pick that punches above its price on input costs while delivering top-tier reasoning and multimodal capability.
GPT-5 costs $1.25 per million input tokens and $10 per million output tokens on the API, with cached input at $0.125 per million. A month of 10M input and 2M output tokens runs about $32.50 at list price, before any batch or caching discounts.
What is the context window of GPT-5?
GPT-5 has a 400k tokens context window, with up to 128k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of GPT-5?
GPT-5's training data runs through September 30, 2024, and the model was released on August 7, 2025. For anything after that date it needs web search or documents in the prompt.
What is GPT-5 best for?
GPT-5 is best for high-stakes professional tasks requiring deep reasoning, precise instruction-following, and reliable multimodal understanding.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid GPT-5?
You need real-time response speeds, are running high-volume automated pipelines where output token costs accumulate quickly, or require native image generation.
What is a cheaper alternative to GPT-5?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against GPT-5's $1.25/1M/1M. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if GPT-5's pricing is the thing stopping you.
What is a faster alternative to GPT-5?
GPT-6 Astra — deliberate against GPT-5's balanced, with 1.1M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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