The original deep-thinker that excels at hard reasoning problems, now overshadowed by newer o-series models but still formidable for complex STEM work.
88
Coding
52
Writing
85
Research
0
Images
8
Value
75
Long Context
Use this when
Solving complex reasoning tasks where accuracy matters more than response time, such as competitive programming, advanced mathematics, and rigorous scientific analysis.
Skip this if
You need fast turnaround, are doing routine writing or summarization, or have a tight budget — the cost-to-value ratio is poor for anything a standard flagship model can handle.
Pricing
$15.00/1M in
$60.00/1M out
→0%since May 2026
Context
200k tokens
Speed
Deliberate
o1specs & pricing
Verified Sep 4, 2026 against the AI Gateway catalog
At $15 input / $60 output per 1M tokens, a single complex back-and-forth session can cost dollars. o1-mini is available at a fraction of the price for lighter reasoning tasks. OpenAI has since released o3 and o3-mini, which largely supersede o1 for most reasoning use cases.
Exceptional multi-step logical reasoning that outperforms GPT-4o on AIME, GPQA, and similar benchmarks
Strong at catching its own errors through internal deliberation before responding
200K context window handles large codebases, legal documents, and lengthy research papers
Reliable performance on PhD-level science and competition-math problems
Weaknesses
Extremely expensive at $60/1M output tokens — roughly 10x the cost of GPT-4o mini for similar tasks it can handle
Deliberate reasoning makes it noticeably slow, often taking 15–60 seconds per response
No image generation, audio, or tool-use capabilities; purely text-in, text-out
Real-world use cases
What people actually use o1 for.
Debugging a subtle concurrency bug in a 2,000-line Rust codebase by reasoning through execution order
Solving a 5-part graduate-level thermodynamics problem with full derivation steps
Analyzing a 150-page legal contract to identify contradictory clauses and liability risks
How o1 compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), o1 costs about 47% more per token, takes 1.6x the context and answers slower. GPT-4 Turbo is the one to check first if the price difference matters more than the ceiling.
vs GPT-4 Turbo (older v1106) — Against GPT-4 Turbo (older v1106) (OpenAI), o1 costs about 47% more per token, takes 1.6x the context and answers slower. GPT-4 Turbo (older v1106) is the one to check first if the price difference matters more than the ceiling.
vs GPT-4 Turbo Preview — Against GPT-4 Turbo Preview (OpenAI), o1 costs about 47% more per token, takes 1.6x the context and answers slower. GPT-4 Turbo Preview is the one to check first if the price difference matters more than the ceiling.
Price History
o1 pricing over time
→0% since May 12
90 data points · tracked daily since May 12, 2026
Ready to try it?
Start using o1
Solving complex reasoning tasks where accuracy matters more than response time, such as competitive programming, advanced mathematics, and rigorous scientific analysis.. Start free — no card required.
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
Verdict
A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup.
Quality score
75%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
GPT-4 Turbo is available via the OpenAI API. It has largely been succeeded by GPT-4o, which is faster, supports vision natively, and is cheaper. Organizations should evaluate whether migrating to GPT-4o or o3 makes more sense before building new workflows on this model.
GPT-4 Turbo (v1106) is an older snapshot of OpenAI's flagship GPT-4 Turbo model released in November 2023, offering a 128K context window with strong general-purpose reasoning and instruction-following capabilities. It predates later GPT-4 Turbo updates and GPT-4o, making it a legacy choice for workflows locked to this specific version.
Verdict
A reliable but outdated GPT-4 snapshot that only makes sense when version pinning is a hard requirement.
Quality score
66%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
This is a pinned model snapshot (v1106) and will not receive capability updates. OpenAI may deprecate older snapshots over time. Knowledge cutoff is April 2023. Not recommended for new deployments given the superior cost-performance of GPT-4o and GPT-4.1.
Legacy128K ContextPinned SnapshotGPT-4Premium
Best for
Teams requiring a pinned, stable version of GPT-4 Turbo for reproducible outputs in long-document analysis or complex instruction pipelines.
GPT-4 Turbo Preview is an early access version of GPT-4 Turbo, OpenAI's then-flagship model featuring a 128K context window and knowledge improvements over the original GPT-4. It was designed to deliver GPT-4-class reasoning at reduced cost compared to the original GPT-4.
Verdict
A once-capable flagship now overshadowed by faster, cheaper, and smarter successors.
Quality score
67%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
This is a 'preview' variant that OpenAI has largely deprecated in favor of gpt-4-turbo and gpt-4o. The endpoint may be retired or redirected by OpenAI without notice. Check the OpenAI model deprecation schedule before building production applications on this model.
GPT-4Long ContextLegacyPremiumOpenAI
Best for
Complex multi-step reasoning, long-document analysis, and professional writing tasks requiring strong instruction-following.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
OpenAI: o1 — added to UseRightAI
OpenAI: o1 (OpenAI) is now indexed. The original deep-thinker that excels at hard reasoning problems, now overshadowed by newer o-series models but still formidable for complex STEM work.
o1 costs $15 per million input tokens and $60 per million output tokens on the API, with cached input at $7.5 per million. A month of 10M input and 2M output tokens runs about $270.00 at list price, before any batch or caching discounts.
What is the context window of o1?
o1 has a 200k tokens context window, with up to 100k 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 o1?
o1's training data runs through September 2023, and the model was released on December 5, 2024. For anything after that date it needs web search or documents in the prompt.
What is o1 best for?
o1 is best for solving complex reasoning tasks where accuracy matters more than response time, such as competitive programming, advanced mathematics, and rigorous scientific analysis.. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and deliberate speed.
When should I avoid o1?
You need fast turnaround, are doing routine writing or summarization, or have a tight budget — the cost-to-value ratio is poor for anything a standard flagship model can handle.
What is a cheaper alternative to o1?
GPT-4 Turbo (OpenAI) at $10.00/1M/1M input against o1's $15.00/1M/1M — roughly 47% less per token all in. A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup. Compare it first if o1's pricing is the thing stopping you.
What is a faster alternative to o1?
GPT-4 Turbo (older v1106) — balanced against o1's deliberate, with 128k 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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