OpenAI API: pricing, limits, errors and comparisons

o3 is $2/$8 per 1M tokens and o3-pro $20/$80, but OpenAI removes both on December 11, 2026 (o3-mini on October 23). Prices, dates, and migration math.

Updated Sep 30, 2026

GPT-4o pricing is $2.50 per million input tokens and $10.00 per million output tokens. Learn the complete cost structure including cached inputs, batch API discounts, and how to calculate your real-world API expenses with practical examples.

Updated Jan 16, 2026

Master GPT-4o API pricing with our comprehensive 2025 guide featuring real costs, competitor analysis, and ROI strategies.

Updated Jul 9, 2025

Discover how OpenAI's 80% o3 price drop transforms AI accessibility at just $0.002 per 1K input tokens, with strategies to save up to 95% on costs

Updated Jan 28, 2025

Master GPT-4o API pricing with our data-driven guide. Discover how companies save $10,000+ monthly through smart optimization, tier management, and strategic model selection.

Updated Jan 16, 2025

A comprehensive guide to OpenAI API pricing covering token costs, pricing models, real-world scenarios, optimization strategies, and how to save 70% with LaoZhang.ai.

Updated Jan 16, 2025

Master GPT-4o API pricing in 2025 with our comprehensive guide. Learn about the $5/$20 token pricing, usage tiers, batch API discounts, and real-world implementation strategies for developers.

Updated Jan 1, 2025

The OpenAI API 'quota exceeded' error (HTTP 429) comes in two distinct types: insufficient_quota (billing issue) and rate_limit_exceeded (too many requests). This guide helps you diagnose which type you have and provides step-by-step solutions for each, including what to do when you have credits but still get the error.

Updated Feb 2, 2026

OpenAI API free trial credits were discontinued in mid-2025. This guide explains your real options: the extremely limited free tier, the $5 minimum investment path, and genuinely free alternatives like Google Gemini that actually work.

Updated Feb 2, 2026

Complete guide to free OpenAI API access in 2026. Covers official free tier (3 RPM), API proxy services like Puter.js, OpenRouter alternatives, and 15+ provider comparison with cost optimization strategies.

Updated Jan 20, 2026

Master O3 API access without rate limit constraints using proven gateway solutions and optimization strategies.

Updated Jul 11, 2025

Learn how to bypass OpenAI's image generation limits with proven strategies. Get access to unlimited AI image creation at 75% lower cost, even without tier upgrades.

Updated Jun 30, 2025

Definitive guide to GPT-4.5's evolving usage limits with actionable solutions

Updated Jun 20, 2025

Learn proven methods to access OpenAI's revolutionary o1 reasoning models for free or at 90% reduced cost through API gateways

Updated Jan 28, 2025

Understand the risks of searching for free OpenAI API keys on GitHub and discover legitimate, affordable alternatives like LaoZhang.ai that provide safe, legal access to AI capabilities.

Updated Jan 16, 2025

Learn how to access OpenAI's API for free in 2025, explore alternative free AI providers, and discover cost-effective strategies including open-source models and affordable gateways.

Updated Jan 16, 2025

OpenAI's o4-mini has no free API tier, charging $1.10/$4.40 per million tokens. But 17 alternatives offer free access, including Windsurf's temporary unlimited tier and self-hosting options.

Updated Jan 9, 2025

Complete guide to fixing GPT-5.2 reasoning timeout errors. Covers timeout configuration, reasoning effort optimization, background processing implementation, and production-ready Python code examples.

Updated Dec 14, 2025

The 'Failed to load subscription for selected organization' error on OpenAI prevents access to billing, playground, and API features. This comprehensive guide provides 5-step diagnosis, solutions verified by OpenAI Community, organization management fixes, and billing troubleshooting based on 2025 user reports.

Updated Nov 5, 2025

As of October 3, 2026, GPT-6 Astra is the only model every API account can run on Ultrafast, at 6× its Standard rate. GPT-6.1 Sol Ultrafast has no price yet.

Updated Oct 3, 2026

Try GPT-6.1 Sol first for high-volume work under 272K input tokens. Keep Opus 5.5 where a failed attempt costs more review time than the tokens you save.

Updated Oct 1, 2026

Opus 5.5 costs less above 272K input tokens and on cache reads; GPT-5.6 Sol writes about half the output per task. Already on Sol? Test GPT-6 Sol or the newer GPT-6.1 Sol first.

Updated Oct 1, 2026

Start new work and any tools-plus-reasoning flow on Responses. Keep Chat Completions for working text flows, n > 1, or providers that only speak Chat Completions.

Updated Sep 25, 2026

Luna's listed token rates are one-twentieth of Sol's in matched API tiers. Here is the math for an actual request and the separate Codex credit comparison.

Updated Sep 23, 2026

Their standard input and output rates match. Cache behavior, Astra's 272K threshold, batch processing, tools, and your token mix determine the actual bill.

Updated Sep 5, 2026

A current billing guide for repeated-context API workloads: OpenAI cached input, Claude cache writes and reads, break-even examples, and cache-hit verification.

Updated May 19, 2026

GPT-5.4 nano is usually the better cheap OpenAI API model for new workloads because it costs less than GPT-5 mini, has a newer cutoff, and wins most official March 2026 coding and tool benchmarks. GPT-5 mini still survives in a narrow legacy niche.

Updated Mar 22, 2026

For most new OpenAI API builds, GPT-5.4 mini is the better pick than GPT-5.2 because it is much cheaper, faster, and positioned for high-volume agent workflows. GPT-5.2 mostly remains useful as a migration baseline or legacy validation path.

Updated Mar 22, 2026

GPT-5 nano is still the cheapest OpenAI model in this comparison, but GPT-5.4 nano is usually the better current cheap default for new workloads because it keeps the same context and rate limits while adding a newer cutoff and broader cheap-agent tooling.

Updated Mar 21, 2026

As of March 21, 2026, GPT-5.4 mini is the stronger default for OpenAI-native coding subagents and tool-heavy software workflows, while Gemini 3 Flash is the better pick when you want a cheaper 1M-context multimodal fast lane with Google grounding.

Updated Mar 21, 2026

GPT-5.4 is much more expensive than GPT-5 mini, but it also brings a larger context window, a newer cutoff, and a broader tool surface. This guide explains when the premium is worth paying, when GPT-5 mini is still enough, and when you should test GPT-5.4 mini instead.

Updated Mar 21, 2026

GPT-5.4 is the better choice when you need maximum intelligence and long context, while GPT-5.4 mini is often the smarter production default for cheaper, faster, higher-volume coding and agent workflows.

Updated Mar 21, 2026

GPT-5.4 mini and GPT-5.4 nano share the same context window and knowledge cutoff, but they are not interchangeable. This guide explains when mini's stronger coding and computer-use fit is worth the higher price and when nano should own the cheap high-volume lane.

Updated Mar 21, 2026

GPT-5.4 mini costs more than GPT-5 mini, but OpenAI now recommends it for most new low-latency, high-volume builds. This guide compares price, tool support, benchmarks, and when the cheaper legacy model still makes sense.

Updated Mar 20, 2026

GPT-5.4 is now the right default for most new OpenAI API and Codex workflows, but GPT-5.2 still makes sense in some lower-cost and legacy-surface cases. This guide explains exactly when to switch.

Updated Mar 19, 2026

GPT-5.4 is the better default for most developers who want one model for coding, long-context work, and tool-heavy agents in March 2026. Claude Sonnet 4.6 still has a real place in Claude-first workflows, but its base published API pricing is not cheaper than GPT-5.4.

Updated Mar 19, 2026

Choosing between Gemini, OpenAI, and Claude APIs in 2026 requires more than comparing per-token prices. This guide breaks down real monthly costs across three workload sizes, exposes hidden costs from thinking tokens and long-context premiums, and provides a concrete optimization playbook that can cut your API spending by 60-80%. Updated with the latest GPT-5.4, Gemini 3.1 Pro, and Claude Opus 4.6 pricing.

Updated Mar 17, 2026

As of February 2026, three heavyweight AI models launched in the same week: Claude Opus 4.6 ($5/MTok, best reasoning), GPT-5.3 Codex (~$1.75/MTok, fastest terminal tasks), and GLM-5 (~$0.11/MTok, open-source 745B MoE). This guide provides the industry's first complete three-way comparison with verified benchmarks, real-world cost analysis, and a clear decision framework.

Updated Feb 12, 2026

Claude Opus 4.6 and GPT-5.3-Codex both launched February 5, 2026. Opus dominates reasoning with 91.9% on tau-bench and 1606 Elo on GPQA Diamond, while Codex leads terminal coding at 77.3% on Terminal-Bench. This guide covers verified benchmarks, real pricing with cost optimization strategies, API integration code, and a scenario-based decision framework.

Updated Feb 10, 2026

OpenAI API and Azure OpenAI serve different needs: OpenAI offers simpler setup and faster access to new models, while Azure provides enterprise-grade security with VNet support, SLA guarantees, and compliance certifications. This guide helps you make the right choice with code examples, pricing analysis, and a decision framework.

Updated Feb 3, 2026

Comparing OpenAI API with alternatives in 2026? GPT-4o costs $2.50/$10 per million tokens, Claude 3.5 Sonnet offers $3/$15, and Gemini 2.5 Pro provides up to 2M context at $1.25-$2.50. Get complete pricing, features, and migration code.

Updated Feb 2, 2026

Gemini API is generally 20-50% cheaper than OpenAI for equivalent model tiers. This comprehensive guide compares Gemini 2.5 Pro ($1.25/1M input) vs GPT-4o ($2.50/1M input), explores real-world cost scenarios, and helps you decide which provider offers better value for your specific use case.

Updated Jan 27, 2026

GPT-5.2 leads in reasoning and coding while Gemini 3 Pro excels in multimodal tasks. This comprehensive guide breaks down benchmarks, pricing, and use cases to help you choose the right AI model for your needs.

Updated Jan 4, 2026

GPT-5.2 and Gemini 3 represent the frontier of AI in late 2025. This guide compares benchmarks, API costs, coding capabilities, and provides clear recommendations for developers and enterprises.

Updated Dec 26, 2025

72.7% vs 54.6% on SWE-bench, but GPT-4.1 costs 47% less. Which AI model should you choose?

Updated Jan 28, 2025

Create the key inside a project, copy it the one time it's shown, store it as OPENAI_API_KEY, and buy at least $5 of API credits before your first call.

Updated Sep 30, 2026

Start new workloads on GPT-5.6 Terra, move hard quality-critical tasks to Sol, and test Luna only where constraints and automatic validation make its lower price safe to capture.

Updated Aug 25, 2026

Complete OpenAI API key tutorial with working code examples, environment setup, error handling, and professional tips to build AI-powered applications in 2025.

Updated Jul 16, 2025

68% of international credit cards get declined when purchasing OpenAI API access. Learn how to successfully buy API credits through 5 proven methods, including the 100% success rate LaoZhang.ai gateway.

Updated Jul 16, 2025

Need an OpenAI API key? This complete 2025 guide shows you exactly how to get your API key in 7 simple steps, claim $5 free credits, and start building AI applications today.

Updated Jul 16, 2025

Learn how to effectively implement, monitor, and optimize OpenAI API key usage across multiple programming languages. Discover best practices for rate limit management, cost tracking, and advanced usage patterns.

Updated Jan 16, 2025