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GPT-4.1 vs GPT-4o: Pricing, Context Window & When to Upgrade (2026)

GPT-4.1 costs 20% less than GPT-4o and has an 8x larger context window. We compare pricing, performance scores, and real monthly costs to help you decide when to switch.

TTokenCost Editorial·LLM Cost Research·Updated 2026-05-276 min read

GPT-4.1 launched in April 2026 as a direct successor to GPT-4o — with a larger context window, lower price, and improved coding performance. If you're currently using GPT-4o, switching to GPT-4.1 cuts your input cost by 20% while getting more context. Here's exactly when the switch makes sense and when it doesn't.

GPT-4.1 vs GPT-4o: Pricing at a Glance

ModelInput /1MCached /1MOutput /1MContextPerf
GPT-4.1NEWER$2$1$81M88
GPT-4o$2.5$1.25$10128k82

GPT-4.1 costs $2/1M input vs GPT-4o's $2.5/1M — a 20% saving on every input token. The context window jumps from 128k to 1M tokens, and the performance score is 6 points higher (88 vs 82). For most workloads, this is a straightforward upgrade.

The Context Window Is the Biggest Difference

GPT-4o has a 128k token context window — roughly 100,000 words. GPT-4.1 has a 1M token context window — roughly 750,000 words. That's a 7.8x increase. For applications that need to process entire codebases, long documents, or conversation histories, this is the deciding factor regardless of price.

GPT-4o Context
128k tokens
~100,000 words
GPT-4.1 Context
1M tokens
~750,000 words

Monthly Cost Comparison at Scale

At 1M requests/day with 500 input + 200 output tokens per request — a typical chatbot workload:

ModelDaily CostMonthly CostAnnual Cost
GPT-4.1$2600$78000$949000
GPT-4o$3250$97500$1186250

Where GPT-4.1 Wins Over GPT-4o

Long context tasks
Legal documents, codebase analysis, book summarization — anything over 128k tokens requires GPT-4.1
Cost-sensitive production
20% cheaper input tokens means real savings at volume — same or better output quality
Coding and instruction following
GPT-4.1 scores higher on HumanEval and instruction adherence benchmarks
Cached workloads
Both offer 50% cache discount — GPT-4.1 starts from a lower base price so absolute savings are larger

When GPT-4o Is Still the Right Choice

GPT-4o has stronger multimodal capabilities — vision, audio processing, and image understanding are more mature in GPT-4o than in GPT-4.1. If your application is primarily image or audio-based, GPT-4o may outperform GPT-4.1 on specific tasks. For text-only workloads, there is almost no reason to prefer GPT-4o over GPT-4.1 today.

What About GPT-4.1 Mini and GPT-4.1 Nano?

ModelInput /1MOutput /1MContextUse Case
GPT-4.1 Mini$0.4$1.61MBalanced 1M ctx tasks
GPT-4o Mini$0.15$0.6128k128k high-volume
GPT-4.1 Nano$0.1$0.41MCheapest 1M ctx option

GPT-4.1 Mini at $0.4/1M is cheaper than GPT-4o Mini ($0.15/1M) and has 1M context vs 128k. For most teams currently on GPT-4o Mini, switching to GPT-4.1 Mini or Nano is the correct move — more context, same or lower cost.

Bottom Line

For any text-based workload, GPT-4.1 is a straightforward upgrade from GPT-4o: lower price, larger context, better coding performance. Migrate GPT-4o Mini users to GPT-4.1 Mini for additional cost savings with more context. Only stay on GPT-4o if your use case is heavily multimodal (vision/audio) and you've verified GPT-4o outperforms in your specific domain.

Use our token cost calculator to compare exact monthly costs at your token volumes, or see the full GPT-4o vs GPT-4.1 comparison →

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