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GPT-4.1 vs o3

Pricing verdict: GPT-4.1 vs o3: pricing is a tie at $2.00/M input and $8.00/M output. The real choice is context: o3 is better for long-context tasks (1,000,000 tokens vs 200,000).

Direct answer: pricing is a tie. Choose o3 for the larger 1M context window, or pick GPT-4.1 if 200K is already enough for your workload.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

OpenAI
GPT-4.1
vs
OpenAI
o3

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

GPT-4.1

Per Request:$0.006000
Daily:$0.60
Monthly:$18.00
Yearly:$219.00

o3

Per Request:$0.006000
Daily:$0.60
Monthly:$18.00
Yearly:$219.00

Cost Differences

$0.00
Per Request
$0.00
Daily
$0.00
Monthly
$0.00
Yearly

Both models cost the same at the default workload.

Quick Recommendation

Direct API pricing is a tie at the default workload: both land around $18.00/month. Pick o3 if you need the larger 1M context window; otherwise choose the model that better fits your workflow.

Feature Comparison

FeatureGPT-4.1o3
ProviderOpenAIOpenAI
Input Price$2.00/1M tokens$2.00/1M tokens
Output Price$8.00/1M tokens$8.00/1M tokens
Context Window200,000 tokens1,000,000 tokens
Max Output32,768 tokens131,072 tokens
Categoryflagshipreasoning
Capabilities
textvisioncode
textreasoningvisioncode
Release Date4/14/20254/16/2025

GPT-4.1 vs o3: Which Should You Choose?

Choosing between GPT-4.1 and o3 depends on your priorities: cost efficiency, context length, or raw capability. Both models cost the same on input and output tokens, so raw price is a tie. Meanwhile, o3 offers a significantly larger context window at 1,000,000 tokens vs 200,000 for GPT-4.1.

These models target different tiers: GPT-4.1 is a flagship model while o3 is reasoning. This means they're optimized for different workloads. GPT-4.1 is built for complex tasks that require deeper reasoning, while o3 offers better value for routine operations.

Output costs matter too. GPT-4.1 charges $8.00/1M output tokens vs $8.00 for o3.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose GPT-4.1 when:

  • • You're already using OpenAI's API ecosystem

Choose o3 when:

  • • You need a larger context window (1,000,000 tokens)
  • • You need more capabilities (reasoning)
  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using OpenAI's API ecosystem

Pros and Caveats at a Glance

GPT-4.1

  • Input pricing: $2.00/M tokens
  • Output pricing: $8.00/M tokens
  • Context window: 200,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Smaller context window than o3

o3

  • Input pricing: $2.00/M tokens
  • Output pricing: $8.00/M tokens
  • Context window: 1,000,000 tokens
  • Max output: 131,072 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

GPT-4.1 (OpenAI)

o3 (OpenAI)

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Frequently Asked Questions

Which is cheaper, GPT-4.1 or o3?
They are priced the same at $2.00 per million input tokens and $8.00 per million output tokens. The real difference is context and workload fit: o3 gives you 1,000,000 tokens of context vs 200,000 for GPT-4.1.
What is the context window difference between GPT-4.1 and o3?
GPT-4.1 supports 200,000 tokens while o3 supports 1,000,000 tokens — a difference of 800,000 tokens in favor of o3.
Which model is better for AI Chatbot?
Both models support text, and direct token pricing is tied. For ai chatbot, start with o3 if you need the larger 1,000,000-token context window; otherwise choose the model whose provider, tools, or latency profile fits better.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, both models land at about $18.00/month. There is no direct price winner at this workload, so decide based on context window, capabilities, and provider fit.

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