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GPT-5.5 vs o3

GPT-5.5 vs o3: o3 is cheaper for input-heavy usage ($2.00/M vs $5.00/M input tokens), while GPT-5.5 is better for long-context tasks (1,050,000 tokens).

Direct answer: choose o3 for lower token spend and choose GPT-5.5 when your workload needs longer context.

Common pricing searches covered on this page: GPT-5.5 vs o3 • GPT-5.5 vs o3 pricing • GPT-5.5 vs o3 API pricing and 5 5 vs o3 pricing.

OpenAI
GPT-5.5
vs
OpenAI
o3

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

GPT-5.5

Per Request:$0.02
Daily:$2.00
Monthly:$60.00
Yearly:$730.00

o3

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

Cost Differences

$0.014
Per Request
$1.40
Daily
$42.00
Monthly
$511.00
Yearly

o3 costs less than GPT-5.5

Quick Recommendation

Winner for direct API pricing: o3. At the default workload, o3 saves about $42.00/month ($511.00/year) versus GPT-5.5.

Feature Comparison

FeatureGPT-5.5o3
ProviderOpenAIOpenAI
Input Price$5.00/1M tokens$2.00/1M tokens
Output Price$30.00/1M tokens$8.00/1M tokens
Context Window1,050,000 tokens1,000,000 tokens
Max Output128,000 tokens131,072 tokens
Categoryflagshipreasoning
Capabilities
textvisioncodereasoning
textreasoningvisioncode
Release Date4/24/20264/16/2025

GPT-5.5 vs o3: Which Should You Choose?

Choosing between GPT-5.5 and o3 depends on your priorities: cost efficiency, context length, or raw capability. o3 is the more affordable option at $2.00/1M input tokens60% cheaper than GPT-5.5. Meanwhile, GPT-5.5 offers a significantly larger context window at 1,050,000 tokens vs 1,000,000 for o3.

These models target different tiers: GPT-5.5 is a flagship model while o3 is reasoning. This means they're optimized for different workloads. GPT-5.5 is built for complex tasks that require deeper reasoning, while o3 offers better value for routine operations.

Output costs matter too. GPT-5.5 charges $30.00/1M output tokens vs $8.00 for o3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o3 has the edge here at $8.00/1M output tokens.

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

Best Use Cases

Choose GPT-5.5 when:

  • • You need a larger context window (1,050,000 tokens)
  • • You're already using OpenAI's API ecosystem

Choose o3 when:

  • • Budget is a primary concern
  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using OpenAI's API ecosystem

Pros and Caveats at a Glance

GPT-5.5

  • Input pricing: $5.00/M tokens
  • Output pricing: $30.00/M tokens
  • Context window: 1,050,000 tokens
  • Max output: 128,000 tokens

Watch out for

  • Higher input cost than o3
  • Higher output cost 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

  • Smaller context window than GPT-5.5

Try Different Scenarios

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

GPT-5.5 (OpenAI)

o3 (OpenAI)

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Frequently Asked Questions

Which is cheaper, GPT-5.5 or o3?
o3 is cheaper for input tokens at $2.00 per million tokens vs $5.00 for GPT-5.5 — that's 60% savings on input costs.
What is the context window difference between GPT-5.5 and o3?
GPT-5.5 supports 1,050,000 tokens while o3 supports 1,000,000 tokens — a difference of 50,000 tokens in favor of GPT-5.5.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, o3 is the lower-cost option, while GPT-5.5 offers a larger context window (1,050,000 vs 1,000,000 tokens). Choose o3 for budget sensitivity or GPT-5.5 for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, GPT-5.5 costs about $60.00/month and o3 costs about $18.00/month. Overall, o3 has lower combined input + output rates ($2.00 in, $8.00 out) vs GPT-5.5.

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