GPT-4 Turbo
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.
The sharpest everyday workhorse in OpenAI's lineup, best when you need precise instructions met over long documents or complex codebases.
Developers and researchers needing accurate instruction-following and long-document analysis at a cost-efficient rate.
You need advanced mathematical reasoning or multi-step logical deduction — use o3 or o4-mini instead.
Compare every model's knowledge cutoff, max output, and context window.
Priced at $2/1M input and $8/1M output tokens — cheaper than GPT-4o at launch. The 1M context window is real but performance near the ceiling is less tested than Gemini's equivalent. No built-in image generation or voice modality.
1M token context window enables full codebase or document corpus ingestion in a single call
Noticeably improved instruction-following over GPT-4o, especially for multi-step structured tasks
Strong coding performance that rivals Claude Sonnet 4.6 on real-world agentic programming tasks
Competitive $2/$8 input/output pricing undercuts GPT-4o equivalents while improving quality
No native image generation capability — requires separate DALL-E integration
Lacks the deep chain-of-thought reasoning of o3 or o4-mini for complex math and logic problems
Long-context retrieval quality degrades in the 500K–1M range compared to Gemini 3.1 Pro's native architecture
What people actually use GPT-4.1 for.
Ingesting an entire 300-page legal contract and extracting all liability clauses with precise citations
Building a multi-file code refactoring agent that rewrites legacy Python 2 codebases to Python 3
Summarizing and cross-referencing a full academic literature corpus to identify research gaps
The nearest models people weigh against it, and what actually separates them.
vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), GPT-4.1 runs about 75% cheaper per token and takes 8.2x the context. Take GPT-4.1 unless you specifically need what GPT-4 Turbo does better.
vs GPT-4 Turbo (older v1106) — Against GPT-4 Turbo (older v1106) (OpenAI), GPT-4.1 runs about 75% cheaper per token and takes 8.2x the context. Take GPT-4.1 unless you specifically need what GPT-4 Turbo (older v1106) does better.
vs GPT-4 Turbo Preview — Against GPT-4 Turbo Preview (OpenAI), GPT-4.1 runs about 75% cheaper per token and takes 8.2x the context. Take GPT-4.1 unless you specifically need what GPT-4 Turbo Preview does better.
Price History
→0% since May 9
90 data points · tracked daily since May 9, 2026
Developers and researchers needing accurate instruction-following and long-document analysis at a cost-efficient rate.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
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.
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.
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.
Pricing moves, ranking shifts, and capability updates.
OpenAI: GPT-4.1 (OpenAI) is now indexed. It supersedes GPT-4o. The sharpest everyday workhorse in OpenAI's lineup, best when you need precise instructions met over long documents or complex codebases.
View modelGPT-4.1 costs $2 per million input tokens and $8 per million output tokens on the API, with cached input at $0.5 per million. A month of 10M input and 2M output tokens runs about $36.00 at list price, before any batch or caching discounts.
GPT-4.1 has a 1.0M tokens context window, with up to 33k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
GPT-4.1's training data runs through April 2024, and the model was released on April 14, 2025. For anything after that date it needs web search or documents in the prompt.
GPT-4.1 is best for developers and researchers needing accurate instruction-following and long-document analysis at a cost-efficient rate.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
You need advanced mathematical reasoning or multi-step logical deduction — use o3 or o4-mini instead.
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against GPT-4.1's $2.00/1M/1M. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if GPT-4.1's pricing is the thing stopping you.
GPT-4 Turbo — balanced against GPT-4.1's balanced, 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.
Newsletter
We track pricing daily. When this model drops or spikes, you'll know first.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
No reviews yet — be the first.