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GPT-5.2 vs GPT-5 Pro

GPT-5.2

OpenAI

91#19
vs
GPT-5 Pro

OpenAI

89#34
Signal-by-Signal Comparison
SignalGPT-5.2DeltaGPT-5 Pro
Capabilities
100
--
100
Benchmarks
89
+2
88
Pricing
86
+81
5
Context window size
89
--
89
Recency
91
+12
79
Output Capacity
85
--
85
Overall Result
3 wins
of 6
0 wins
GPT-5.2 wins 3 of 6 signals

Score History

Score History (24 data points)
GPT-5.2GPT-5 Pro
GPT-5.2

90.5

current score

Leader

GPT-5.2

right now

GPT-5 Pro

88.7

current score

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

GPT-5.2

OpenAI

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

GPT-5 Pro

OpenAI

Per request$0.075000
Daily$250.00
Monthly$7500.00
Annual$90000.00

GPT-5.2 saves you $6625.00/month

That's $79500.00/year compared to GPT-5 Pro at your current usage level of 100K calls/month.

88% cheaper
Choose GPT-5.2 for cost optimization

GPT-5.2 pricing:
Input:$1.75/M tokens
Output:$14.00/M tokens
GPT-5 Pro pricing:
Input:$15.00/M tokens
Output:$120.00/M tokens
Winner
GPT-5.2

OpenAI

91

Composite Score

GPT-5 Pro

OpenAI

89

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.2GPT-5 ProWinner
Overall Score
91
89
GPT-5.2
Rank#19#34
GPT-5.2
Quality Rank#19#34
GPT-5.2
Adoption Rank#19#34
GPT-5.2
Parameters------
Context Window400K400K--
Pricing$1.75/$14.00/M$15.00/$120.00/M--
Signal Scores
Capabilities
100
100
GPT-5.2
Benchmarks
89
88
GPT-5.2
Pricing
86
5
GPT-5.2
Context window size
89
89
GPT-5.2
Recency
91
79
GPT-5.2
Output Capacity
85
85
GPT-5.2
Benchmark Head-to-Head(11 benchmarks)
GPT-5.2: 11GPT-5 Pro: 0
GPT-5.2
GPT-5 Pro
Normalized 0-100%
MMLU
93.5%93%
MMLU-Pro
86%84.5%
GPQA Diamond
87%85%
MATH-500
94%92.5%
HumanEval
97%96.5%
SWE-bench Verified
78%75%
IFEval
93%92%
BBH
91.5%90.5%
Arena Elo
14811465
LiveBench
77.5%76%
HLE
37%35%
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
GPT-5 ProElite Tier

Scores 89/100 (rank #34), placing it in the top 89% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-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:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-5 Pro when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.2Best Value
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
GPT-5 Pro
Input cost$15.00/M tokens
Output cost$120.00/M tokens
Cost per quality point$1.522
Est. monthly (1M tokens/day)$2025.00

GPT-5.2 offers 88% better value per quality point. At 1M tokens/day, you'd spend $236.25/month with GPT-5.2 vs $2025.00/month with GPT-5 Pro - a $1788.75 monthly difference.

Latency & Speed
GPT-5.2Faster
Speed score0/100
GPT-5 Pro
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. GPT-5.2 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 ($14.00/M) reduces costs when processing thousands of records daily

GPT-5.2

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 and GPT-5 Pro are extremely close in overall performance (only 1.7999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

GPT-5.2
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 88% lower pricing; better value at scale
  • 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

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-5.2GPT-5 Pro
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

Best Value
$19.95
estimated monthly cost

GPT-5 Pro

OpenAI

$171.00
estimated monthly cost

GPT-5.2 saves you $151.05/month

That's 88% cheaper than GPT-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
ParameterGPT-5.2GPT-5 Pro
Context Window400K400K
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedDec 10, 2025Oct 6, 2025
Last updated: 1h ago

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