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Claude Opus 4.6 vs GPT-5.2

Claude Opus 4.6

Anthropic

90#15
vs
GPT-5.2

OpenAI

90#14
Signal-by-Signal Comparison
SignalClaude Opus 4.6DeltaGPT-5.2
Capabilities
100
--
100
Benchmarks
87
-2
89
Pricing
75
-11
86
Context window size
86
+6
80
Recency
100
+6
94
Output Capacity
85
--
85
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (21 data points)
Claude Opus 4.6GPT-5.2
Claude Opus 4.6

90

current score

Leader

GPT-5.2

right now

GPT-5.2

90.1

current score

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

Claude Opus 4.6

Anthropic

Per request$0.017500
Daily$58.33
Monthly$1750.00
Annual$21000.00

GPT-5.2

OpenAI

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

GPT-5.2 saves you $875.00/month

That's $10500.00/year compared to Claude Opus 4.6 at your current usage level of 100K calls/month.

50% cheaper
Choose GPT-5.2 for cost optimization

Claude Opus 4.6 pricing:
Input:$5.00/M tokens
Output:$25.00/M tokens
GPT-5.2 pricing:
Input:$1.75/M tokens
Output:$14.00/M tokens
Claude Opus 4.6

Anthropic

90

Composite Score

Winner
GPT-5.2

OpenAI

90

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.6GPT-5.2Winner
Overall Score
90
90
GPT-5.2
Rank#15#14
GPT-5.2
Quality Rank#15#14
GPT-5.2
Adoption Rank#15#14
GPT-5.2
Parameters------
Context Window1000K400K
Claude Opus 4.6
Pricing$5.00/$25.00/M$1.75/$14.00/M--
Signal Scores
Capabilities
100
100
Claude Opus 4.6
Benchmarks
87
89
GPT-5.2
Pricing
75
86
GPT-5.2
Context window size
86
80
Claude Opus 4.6
Recency
100
94
Claude Opus 4.6
Output Capacity
85
85
Claude Opus 4.6
Benchmark Head-to-Head(13 benchmarks)
Claude Opus: 51 tiesGPT-5.2: 5
Claude Opus
GPT-5.2
Normalized 0-100%
MMLU
92.1%93.5%
MMLU-Pro
82.5%86%
GPQA Diamond
88.4%87%
MATH-500
90.5%94%
HumanEval
96%97%
SWE-bench Verified
83.7%78%
AIME 2024
78%-
IFEval
92.8%93%
BBH
91.5%91.5%
Arena Elo
15031481
LiveBench
78.5%77.5%
HLE
38.2%37%
BigCodeBench
72.1%-
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.

Claude Opus 4.6Elite Tier

Scores 90/100 (rank #15), placing it in the top 95% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.2Elite Tier

Scores 90/100 (rank #14), placing it in the top 96% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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 Claude Opus 4.6 when you need:

  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

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
Cost-Performance Analysis
Claude Opus 4.6
Input cost$5.00/M tokens
Output cost$25.00/M tokens
Cost per quality point$0.333
Est. monthly (1M tokens/day)$450.00
GPT-5.2Best Value
Input cost$1.75/M tokens
Output cost$14.00/M tokens
Cost per quality point$0.175
Est. monthly (1M tokens/day)$236.25

GPT-5.2 offers 48% better value per quality point. At 1M tokens/day, you'd spend $236.25/month with GPT-5.2 vs $450.00/month with Claude Opus 4.6 - a $213.75 monthly difference.

Latency & Speed
Claude Opus 4.6Faster
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

Claude Opus 4.6

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

Claude Opus 4.6

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Claude Opus 4.6

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 (90/100) 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

Claude Opus 4.6
Which Should You Choose?
Our recommendation:
GPT-5.2

Claude Opus 4.6 and GPT-5.2 are extremely close in overall performance (only 0.09999999999999432 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Anthropic

  • 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
GPT-5.2
Recommended

by OpenAI

  • Choose for Cost - 48% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 4.6GPT-5.2
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)

Claude Opus 4.6

Anthropic

$39.00
estimated monthly cost

GPT-5.2

OpenAI

Best Value
$19.95
estimated monthly cost

GPT-5.2 saves you $19.05/month

That's 49% cheaper than Claude Opus 4.6 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
ParameterClaude Opus 4.6GPT-5.2
Context Window1M400K
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedFeb 4, 2026Dec 10, 2025
Last updated: 1h ago

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