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GPT-5.2 vs o3

GPT-5.2

OpenAI

91#19
vs
o3

OpenAI

87#43
Signal-by-Signal Comparison
SignalGPT-5.2Deltao3
Capabilities
100
--
100
Benchmarks
89
+1
88
Pricing
86
-6
92
Context window size
89
+5
84
Recency
91
+43
48
Output Capacity
85
+2
83
Overall Result
4 wins
of 6
1 wins
GPT-5.2 wins 4 of 6 signals

Score History

Score History (24 data points)
GPT-5.2o3
GPT-5.2

90.5

current score

Leader

GPT-5.2

right now

o3

86.7

current score

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

GPT-5.2

OpenAI

Per request$0.008750
Daily$29.17
Monthly$875.00
Annual$10500.00

o3

OpenAI

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

o3 saves you $275.00/month

That's $3300.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.

31% cheaper
Choose o3 for cost optimization

GPT-5.2 pricing:
Input:$1.75/M tokens
Output:$14.00/M tokens
o3 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Winner
GPT-5.2

OpenAI

91

Composite Score

o3

OpenAI

87

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.2o3Winner
Overall Score
91
87
GPT-5.2
Rank#19#43
GPT-5.2
Quality Rank#19#43
GPT-5.2
Adoption Rank#19#43
GPT-5.2
Parameters------
Context Window400K200K
GPT-5.2
Pricing$1.75/$14.00/M$2.00/$8.00/M--
Signal Scores
Capabilities
100
100
GPT-5.2
Benchmarks
89
88
GPT-5.2
Pricing
86
92
o3
Context window size
89
84
GPT-5.2
Recency
91
48
GPT-5.2
Output Capacity
85
83
GPT-5.2
Benchmark Head-to-Head(12 benchmarks)
GPT-5.2: 71 tieso3: 3
GPT-5.2
o3
Normalized 0-100%
MMLU
93.5%92.3%
MMLU-Pro
86%85.8%
GPQA Diamond
87%87.7%
MATH-500
94%99%
HumanEval
97%97%
SWE-bench Verified
78%71.7%
AIME 2024
-96.7%
IFEval
93%92%
BBH
91.5%93%
Arena Elo
14811415
LiveBench
77.5%74.8%
HLE
37%30.1%
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.

GPT-5.2Elite Tier

Scores 91/100 (rank #19), placing it in the top 94% 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 4-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 GPT-5.2 when you need:

  • Processing long documents or large codebases (400K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose o3 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.2
Input cost$1.75/M tokens
Output cost$14.00/M tokens
Cost per quality point$0.174
Est. monthly (1M tokens/day)$236.25
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 37% better value per quality point. At 1M tokens/day, you'd spend $150.00/month with o3 vs $236.25/month with GPT-5.2 - a $86.25 monthly difference.

Latency & Speed
GPT-5.2Faster
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

GPT-5.2

Customer support chatbot

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

GPT-5.2

Long document analysis

Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.2

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 (91/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.2

Image understanding & OCR

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

GPT-5.2
Which Should You Choose?
Our recommendation:
GPT-5.2

GPT-5.2 has a moderate advantage with a 3.799999999999997-point lead in composite score. It wins on more signal dimensions, but o3 has specific strengths that could make it the better choice for certain workflows.

GPT-5.2
Recommended

by OpenAI

  • 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

by OpenAI

  • Choose for Cost - 37% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.2o3
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)

GPT-5.2

OpenAI

$19.95
estimated monthly cost

o3

OpenAI

Best Value
$13.20
estimated monthly cost

o3 saves you $6.75/month

That's 34% cheaper than GPT-5.2 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
ParameterGPT-5.2o3
Context Window400K200K
Max Output Tokens128,000100,000
Open SourceNoNo
CreatedDec 10, 2025Apr 16, 2025
Last updated: 53m ago

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