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And honestly? For a lot of use cases, it's still the smart choice.
This guide breaks down everything you need to know about GPT-4o API pricing in 2026 — base rates, caching discounts, Batch API savings, and how Crazyrouter can cut your costs even further.
Last updated: April 27, 2026
GPT-4o uses a straightforward per-token pricing model. Here's what you're looking at on the standard OpenAI API:
| Component | Price |
|---|---|
| Input tokens | $2.50 / 1M tokens |
| Cached input tokens | $1.25 / 1M tokens |
| Output tokens | $10.00 / 1M tokens |
For context, when GPT-4o first launched, these prices represented a massive drop from GPT-4 Turbo (30 per MTok). Even now, they remain competitive — especially when you factor in caching and batch discounts.
A typical API call with ~1,000 input tokens and ~500 output tokens costs roughly:
That's less than a cent per request for most conversational interactions. For a chatbot handling 10,000 conversations per day with similar token counts, you're looking at about 2,250/month at list price.
GPT-4o supports a 128K token context window — that's roughly 96,000 words or about 300 pages of text in a single prompt. This is the same context length as GPT-4 Turbo, and it remains one of the largest context windows available at this price point.
What can you fit in 128K tokens?
The key advantage: GPT-4o charges the same per-token rate regardless of how much of that 128K window you use. There's no "long context surcharge" like some newer models implement. Whether you send 1K tokens or 120K tokens, the input rate stays at $2.50/MTok.
This makes GPT-4o particularly cost-effective for tasks that require large context — document analysis, code review, long-form summarization — where newer models with tiered pricing might actually cost more.
One of the most impactful cost-saving features for GPT-4o is OpenAI's automatic prompt caching. Introduced in late 2024, this feature requires zero code changes — it just works.
When you send a request to the API, OpenAI automatically caches the prefix of your prompt. If a subsequent request shares the same prefix (at least 1,024 tokens), the cached portion is served at a 50% discount:
Caching is automatic. You don't need to set any flags, manage cache keys, or change your API calls. OpenAI handles it server-side.
Caching is most effective when you have:
Imagine you're building a customer support bot with a 2,000-token system prompt and 3,000 tokens of product documentation included in every request. For 10,000 daily requests:
Without caching:
With caching (system prompt + docs cached):
The cache has a lifetime of 5–10 minutes of inactivity, so it works best for applications with steady traffic. For bursty workloads, you'll see partial caching benefits.
For workloads that don't need real-time responses, OpenAI's Batch API is a game-changer. It offers a flat 50% discount on all token costs:
| Component | Standard | Batch API |
|---|---|---|
| Input tokens | $2.50 / MTok | $1.25 / MTok |
| Output tokens | $10.00 / MTok | $5.00 / MTok |
Instead of sending individual requests, you upload a JSONL file containing multiple requests. OpenAI processes them asynchronously and returns results within 24 hours (usually much faster).
Here's where it gets interesting. Batch API and prompt caching can stack. If your batch requests share common prefixes, you get:
That means cached input in a batch costs just 2.50 rate.
If you're already optimizing with caching and batching, there's one more lever to pull: routing your API calls through Crazyrouter.
Crazyrouter offers GPT-4o at 55% of OpenAI's official pricing — that's a 45% discount on every token:
| Component | OpenAI Official | Crazyrouter | Savings |
|---|---|---|---|
| Input tokens | $2.50 / MTok | $1.375 / MTok | 45% off |
| Cached input | $1.25 / MTok | $0.6875 / MTok | 45% off |
| Output tokens | $10.00 / MTok | $5.50 / MTok | 45% off |
Switching is dead simple. You just change the base_url — your existing code works as-is.
Python (OpenAI SDK):
curl:
Node.js:
That's it. Same SDK, same parameters, same response format. Just a different URL and API key.
Let's put all the savings together with a realistic scenario. Imagine a SaaS product using GPT-4o for customer support, processing 50,000 requests per day with an average of 2,000 input tokens (1,500 cached) and 800 output tokens per request.
Monthly token volumes:
| Scenario | Input Cost | Output Cost | Monthly Total |
|---|---|---|---|
| OpenAI standard (no caching) | 3,000 × 7,500 | 1,200 × 12,000 | $19,500 |
| OpenAI with caching | (750 × 1.25) = $4,687.50 | 1,200 × 12,000 | $16,687.50 |
| Crazyrouter with caching | (750 × 0.6875) = $2,578.13 | 1,200 × 6,600 | $9,178.13 |
| Crazyrouter + Batch API | (750 × 0.34375) = $1,289.06 | 1,200 × 3,300 | $4,589.06 |
From 4,589 — that's a 76% reduction by stacking caching, Batch API, and Crazyrouter together.
Even without Batch API (which requires async processing), Crazyrouter with caching saves you 53% compared to standard OpenAI pricing.
GPT-5.4 is OpenAI's current flagship, and it's undeniably more capable than GPT-4o. But "more capable" doesn't always mean "better value." Here's how they compare:
| Feature | GPT-4o | GPT-5.4 |
|---|---|---|
| Input price | $2.50 / MTok | $2.50 / MTok |
| Output price | $10.00 / MTok | $10.00 / MTok |
| Context window | 128K | 1M |
| Max output | 16,384 tokens | 64K tokens |
| Reasoning | Good | Excellent |
| Coding | Strong | Stronger |
| Multimodal | Text + Vision | Text + Vision + Audio |
| Speed | Fast | Comparable |
| Reliability | Battle-tested | Newer, still stabilizing |
| Crazyrouter price (input) | $1.375 / MTok | $1.375 / MTok |
| Crazyrouter price (output) | $5.50 / MTok | $5.50 / MTok |
The honest take: if GPT-4o is working for you, there's no rush to migrate. It's not going anywhere, and the price-to-performance ratio is still excellent.
GPT-4o remains a strong value proposition at 10 per MTok — especially for applications that don't need cutting-edge reasoning.
Automatic caching is free money. Design your prompts with consistent prefixes and you'll save 50% on cached input tokens with zero code changes.
Batch API halves everything for async workloads. If you can tolerate up to 24-hour turnaround, there's no reason not to use it.
Crazyrouter stacks on top with 45% savings across the board. Combined with caching and batching, you can reduce costs by up to 76%.
Don't upgrade just because something newer exists. GPT-4o is battle-tested, fast, and reliable. Upgrade when your use case demands it, not because of FOMO.
Ready to cut your GPT-4o costs by 45%? Getting started takes about 30 seconds:
https://crazyrouter.com/v1No contracts. No minimums. Pay only for what you use.
Pricing information is accurate as of April 27, 2026. OpenAI may adjust pricing at any time. Crazyrouter pricing is subject to change — check crazyrouter.com for the latest rates. This article is for informational purposes only and does not constitute financial advice. Always verify current pricing on the official provider websites before making purchasing decisions.
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