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Gemini 2.5 Pro vs o3

Gemini 2.5 Pro

Google

84#47
vs
o3

OpenAI

87#43
Signal-by-Signal Comparison
SignalGemini 2.5 ProDeltao3
Capabilities
100
--
100
Benchmarks
80
-9
88
Pricing
90
-2
92
Context window size
96
+11
84
Recency
59
+11
48
Output Capacity
80
-3
83
Overall Result
2 wins
of 6
3 wins
o3 wins 3 of 6 signals

Score History

Score History (24 data points)
Gemini 2.5 Proo3
Gemini 2.5 Pro

83.5

current score

Leader

o3

right now

o3

86.7

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Gemini 2.5 Pro

Google

Per request$0.006250
Daily$20.83
Monthly$625.00
Annual$7500.00

o3

OpenAI

Best Value
Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

o3 saves you $25.00/month

That's $300.00/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.

4% cheaper
Choose o3 for cost optimization

Gemini 2.5 Pro pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
o3 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Gemini 2.5 Pro

Google

84

Composite Score

Winner
o3

OpenAI

87

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 Proo3Winner
Overall Score
84
87
o3
Rank#47#43
o3
Quality Rank#47#43
o3
Adoption Rank#47#43
o3
Parameters------
Context Window1049K200K
Gemini 2.5 Pro
Pricing$1.25/$10.00/M$2.00/$8.00/M--
Signal Scores
Capabilities
100
100
Gemini 2.5 Pro
Benchmarks
80
88
o3
Pricing
90
92
o3
Context window size
96
84
Gemini 2.5 Pro
Recency
59
48
Gemini 2.5 Pro
Output Capacity
80
83
o3
Benchmark Head-to-Head(13 benchmarks)
Gemini 2.5: 4o3: 7
Gemini 2.5
o3
Normalized 0-100%
MMLU
90.8%92.3%
MMLU-Pro
86%85.8%
GPQA Diamond
84%87.7%
MATH-500
95.2%99%
HumanEval
-97%
SWE-bench Verified
63.8%71.7%
AIME 2024
92%96.7%
IFEval
87.2%92%
BBH
88%93%
Arena Elo
14441415
LiveBench
75.6%74.8%
HLE
35.2%30.1%
BigCodeBench
29.7%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Gemini 2.5 ProStrong Performer

Scores 84/100 (rank #47), placing it in the top 84% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
o3Elite Tier

Scores 87/100 (rank #43), placing it in the top 86% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 3-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Gemini 2.5 Pro when you need:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose o3 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 2.5 Pro
Input cost$1.25/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.135
Est. monthly (1M tokens/day)$168.75
o3Best Value
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.115
Est. monthly (1M tokens/day)$150.00

o3 offers 11% better value per quality point. At 1M tokens/day, you'd spend $150.00/month with o3 vs $168.75/month with Gemini 2.5 Pro - a $18.75 monthly difference.

Latency & Speed
Gemini 2.5 ProFaster
Speed score0/100
o3
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Gemini 2.5 Pro

Customer support chatbot

Suitable for user-facing chat with competitive response times. o3 also offers lower per-token costs for high-volume support

Gemini 2.5 Pro

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Gemini 2.5 Pro

Batch data extraction

Lower output pricing ($8.00/M) reduces costs when processing thousands of records daily

o3

Creative writing & content

Higher overall composite score (87/100) correlates with better nuance, coherence, and style in long-form content

o3

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Gemini 2.5 Pro
Which Should You Choose?
Our recommendation:
o3

o3 has a moderate advantage with a 3.200000000000003-point lead in composite score. It wins on more signal dimensions, but Gemini 2.5 Pro has specific strengths that could make it the better choice for certain workflows.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale
o3
Recommended

by OpenAI

  • Choose for Cost - 11% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 2.5 Proo3
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 2.5 Pro

Google

$14.25
estimated monthly cost

o3

OpenAI

Best Value
$13.20
estimated monthly cost

o3 saves you $1.05/month

That's 7% cheaper than Gemini 2.5 Pro at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGemini 2.5 Proo3
Context Window1.0M200K
Max Output Tokens65,536100,000
Open SourceNoNo
CreatedJun 17, 2025Apr 16, 2025
Last updated: 54m ago

相关对比

Gemini 2.5 Pro vs o3 (2026) | LM Market Cap