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GPT-4o vs o3

Complete pricing and performance comparison between OpenAI's GPT-4o and OpenAI's o3.

Quick Verdict

Cheaper
o3
1.3x cheaper input, 1.3x cheaper output
Larger Context
o3
200K vs 128K
Higher Quality
o3
Score: 38 vs 17
Faster
GPT-4o
135 vs 79 tok/s

Pricing Comparison

SpecGPT-4oo3Difference
ProviderOpenAIOpenAI
Input / 1M tokens$2.5$2o3 is 20% more expensive
Output / 1M tokens$10$8o3 is 20% more expensive
Context Window128K200K2x difference
Max Output16K100K

Performance Benchmarks

MetricGPT-4oo3Winner
Quality Index1738o3
Output Speed135 tok/s79 tok/sGPT-4o
Time to First Token0.53s10.83sGPT-4o
Value (Quality/$)6.919.2Higher = better value

Benchmark data from Artificial Analysis. Quality Index is a composite score across reasoning, coding, and knowledge tasks.

Cost at Scale

Estimated cost at different usage levels (3:1 input-to-output token ratio, typical for chat).

UsageGPT-4oo3Savings
Single request
1K in / 300 out
$0.0055$0.0044o3 saves $0.0011
10 requests
10K in / 3K out
$0.055$0.044o3 saves $0.011
100 requests
100K in / 30K out
$0.550$0.440o3 saves $0.110
1,000 requests
1M in / 300K out
$5.50$4.40o3 saves $1.10
10,000 requests
10M in / 3M out
$55.00$44.00o3 saves $11.00
1M requests/mo
1B in / 300M out
$5500.00$4400.00o3 saves $1100.00

Pros & Cons

GPT-4o Strengths

  • +Faster output (135 vs 79 tok/s)
  • +Lower latency (faster first token)

o3 Strengths

  • +Cheaper input tokens
  • +Cheaper output tokens
  • +Larger context window (200K vs 128K)
  • +Higher max output tokens
  • +Higher quality score (38 vs 17)

When to Use Each Model

Choose GPT-4o for

  • Real-time applications, chat, or autocomplete

Choose o3 for

  • Budget-conscious projects where cost is the primary factor
  • Long documents, large codebases, or multi-turn conversations
  • Generating long-form content or detailed code
  • Tasks requiring maximum accuracy and reasoning

Frequently Asked Questions

Which is cheaper, GPT-4o or o3?
For input tokens, o3 is 1.3x cheaper at $2/1M tokens. For output tokens, o3 is 1.3x cheaper at $8/1M tokens. At typical usage (1M input + 300K output), GPT-4o costs $5.50 vs o3 at $4.40.
What's the context window difference?
GPT-4o supports 128K context (128,000 tokens), while o3 supports 200K (200,000 tokens). o3 can handle 2x more context in a single request.
Which model has better benchmarks?
Quality Index: GPT-4o scores 17 vs o3 at 38. Speed: GPT-4o generates 135 tok/s vs o3 at 79 tok/s. Time to first token: GPT-4o at 0.53s vs o3 at 10.83s.
When should I choose GPT-4o over o3?
Choose GPT-4o when you need: Faster output (135 vs 79 tok/s), Lower latency (faster first token). Choose o3 when you need: Cheaper input tokens, Cheaper output tokens, Larger context window (200K vs 128K), Higher max output tokens, Higher quality score (38 vs 17).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): GPT-4o = $55.00, o3 = $44.00. At 10K input + 1K output per request (longer conversations): GPT-4o = $350.00, o3 = $280.00.

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