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Gemini 3 Pro vs o3

Complete pricing and performance comparison between Google's Gemini 3 Pro and OpenAI's o3.

Quick Verdict

Cheaper
Gemini 3 Pro (input) / o3 (output)
Input: 1.0x diff, Output: 1.5x diff
Larger Context
Gemini 3 Pro
1.0M vs 200K
Higher Quality
Gemini 3 Pro
Score: 48 vs 38
Faster
Gemini 3 Pro
120 vs 79 tok/s

Pricing Comparison

SpecGemini 3 Proo3Difference
ProviderGoogleOpenAI
Input / 1M tokens$2$2Same
Output / 1M tokens$12$8o3 is 33% more expensive
Context Window1.0M200K5x difference
Max Output66K100K
Tokenizercl100k_baseo200k_base

Performance Benchmarks

MetricGemini 3 Proo3Winner
Quality Index4838Gemini 3 Pro
Output Speed120 tok/s79 tok/sGemini 3 Pro
Time to First Token26.13s10.83so3
Value (Quality/$)24.219.2Higher = 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).

UsageGemini 3 Proo3Savings
Single request
1K in / 300 out
$0.0056$0.0044o3 saves $0.0012
10 requests
10K in / 3K out
$0.056$0.044o3 saves $0.012
100 requests
100K in / 30K out
$0.560$0.440o3 saves $0.120
1,000 requests
1M in / 300K out
$5.60$4.40o3 saves $1.20
10,000 requests
10M in / 3M out
$56.00$44.00o3 saves $12.00
1M requests/mo
1B in / 300M out
$5600.00$4400.00o3 saves $1200.00

Pros & Cons

Gemini 3 Pro Strengths

  • +Larger context window (1.0M vs 200K)
  • +Faster output (120 vs 79 tok/s)
  • +Higher quality score (48 vs 38)

o3 Strengths

  • +Cheaper output tokens
  • +Higher max output tokens
  • +Lower latency (faster first token)

When to Use Each Model

Choose Gemini 3 Pro for

  • Long documents, large codebases, or multi-turn conversations
  • Tasks requiring maximum accuracy and reasoning
  • Real-time applications, chat, or autocomplete

Choose o3 for

  • Generating long-form content or detailed code

Frequently Asked Questions

Which is cheaper, Gemini 3 Pro or o3?
For input tokens, Gemini 3 Pro is 1.0x cheaper at $2/1M tokens. For output tokens, o3 is 1.5x cheaper at $8/1M tokens. At typical usage (1M input + 300K output), Gemini 3 Pro costs $5.60 vs o3 at $4.40.
What's the context window difference?
Gemini 3 Pro supports 1.0M context (1,048,576 tokens), while o3 supports 200K (200,000 tokens). Gemini 3 Pro can handle 5x more context in a single request.
Which model has better benchmarks?
Quality Index: Gemini 3 Pro scores 48 vs o3 at 38. Speed: Gemini 3 Pro generates 120 tok/s vs o3 at 79 tok/s. Time to first token: Gemini 3 Pro at 26.13s vs o3 at 10.83s.
When should I choose Gemini 3 Pro over o3?
Choose Gemini 3 Pro when you need: Larger context window (1.0M vs 200K), Faster output (120 vs 79 tok/s), Higher quality score (48 vs 38). Choose o3 when you need: Cheaper output tokens, Higher max output tokens, Lower latency (faster first token).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): Gemini 3 Pro = $56.00, o3 = $44.00. At 10K input + 1K output per request (longer conversations): Gemini 3 Pro = $320.00, o3 = $280.00.

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