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GPT-4.1 vs GPT-5.2

GPT-4.1

OpenAI

68#127
vs
GPT-5.2

OpenAI

91#19
Signal-by-Signal Comparison
SignalGPT-4.1DeltaGPT-5.2
Capabilities
83
-17
100
Benchmarks
70
-19
89
Pricing
92
+6
86
Context window size
96
+7
89
Recency
47
-44
91
Output Capacity
75
-10
85
Overall Result
2 wins
of 6
4 wins
GPT-5.2 wins 4 of 6 signals

Score History

Score History (24 data points)
GPT-4.1GPT-5.2
GPT-4.1

67.7

current score

Leader

GPT-5.2

right now

GPT-5.2

90.5

current score

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

GPT-4.1

OpenAI

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

GPT-5.2

OpenAI

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

GPT-4.1 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 GPT-4.1 for cost optimization

GPT-4.1 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
GPT-5.2 pricing:
Input:$1.75/M tokens
Output:$14.00/M tokens
GPT-4.1

OpenAI

68

Composite Score

Winner
GPT-5.2

OpenAI

91

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1GPT-5.2Winner
Overall Score
68
91
GPT-5.2
Rank#127#19
GPT-5.2
Quality Rank#127#19
GPT-5.2
Adoption Rank#127#19
GPT-5.2
Parameters------
Context Window1048K400K
GPT-4.1
Pricing$2.00/$8.00/M$1.75/$14.00/M--
Signal Scores
Capabilities
83
100
GPT-5.2
Benchmarks
70
89
GPT-5.2
Pricing
92
86
GPT-4.1
Context window size
96
89
GPT-4.1
Recency
47
91
GPT-5.2
Output Capacity
75
85
GPT-5.2
Benchmark Head-to-Head(12 benchmarks)
GPT-4.1: 0GPT-5.2: 11
GPT-4.1
GPT-5.2
Normalized 0-100%
MMLU
89.2%93.5%
MMLU-Pro
81.8%86%
GPQA Diamond
56%87%
MATH-500
78.5%94%
HumanEval
91.5%97%
SWE-bench Verified
54.6%78%
IFEval
88.2%93%
BBH
84%91.5%
Arena Elo
13001481
LiveBench
64.5%77.5%
HLE
5.4%37%
BigCodeBench
31.8%-
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-4.1Competitive

Scores 68/100 (rank #127), placing it in the top 57% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
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-5.2 has a 23-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-4.1 when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1048K token context)

Choose GPT-5.2 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-4.1Best Value
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.148
Est. monthly (1M tokens/day)$150.00
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

GPT-4.1 offers 37% better value per quality point. At 1M tokens/day, you'd spend $150.00/month with GPT-4.1 vs $236.25/month with GPT-5.2 - a $86.25 monthly difference.

Latency & Speed
GPT-4.1Faster
Speed score0/100
GPT-5.2
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-4.1

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4.1 also offers lower per-token costs for high-volume support

GPT-4.1

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1

Batch data extraction

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

GPT-4.1

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-4.1
Which Should You Choose?
Our recommendation:
GPT-5.2

GPT-5.2 clearly outperforms GPT-4.1 with a significant 22.799999999999997-point lead. For most general use cases, GPT-5.2 is the stronger choice. However, GPT-4.1 may still excel in niche scenarios.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 37% 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
GPT-5.2
Recommended

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-4.1GPT-5.2
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4.1

OpenAI

Best Value
$13.20
estimated monthly cost

GPT-5.2

OpenAI

$19.95
estimated monthly cost

GPT-4.1 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-4.1GPT-5.2
Context Window1.0M400K
Max Output Tokens32,768128,000
Open SourceNoNo
CreatedApr 14, 2025Dec 10, 2025
Last updated: 56m ago

相关对比

GPT-4.1 vs GPT-5.2 (2026) | LM Market Cap