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Claude Opus 4.6 (batch) vs GPT-5.2 Pro

vs
GPT-5.2 Pro

OpenAI

91#25
Signal-by-Signal Comparison
SignalClaude Opus 4.6 (batch)DeltaGPT-5.2 Pro
Capabilities
100
--
100
Benchmarks
87
-2
89
Pricing
88
+83
5
Context window size
95
+6
89
Recency
91
+10
81
Output Capacity
82
--
82
Overall Result
3 wins
of 6
1 wins
Claude Opus 4.6 (batch) wins 3 of 6 signals

Score History

Score History (32 data points)
Claude Opus 4.6 (batch)GPT-5.2 Pro
Claude Opus 4.6 (batch)

90.4

current score

Leader

GPT-5.2 Pro

right now

GPT-5.2 Pro

90.5

current score

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

Claude Opus 4.6 (batch)

Anthropic

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

GPT-5.2 Pro

OpenAI

Per request$0.105000
Daily$350.00
Monthly$10500.00
Annual$126000.00

Claude Opus 4.6 (batch) saves you $9625.00/month

That's $115500.00/year compared to GPT-5.2 Pro at your current usage level of 100K calls/month.

92% cheaper
Choose Claude Opus 4.6 (batch) for cost optimization

Claude Opus 4.6 (batch) pricing:
Input:$2.50/M tokens
Output:$12.50/M tokens
GPT-5.2 Pro pricing:
Input:$21.00/M tokens
Output:$168.00/M tokens
Claude Opus 4.6 (batch)

Anthropic

90

Composite Score

Winner
GPT-5.2 Pro

OpenAI

91

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.6 (batch)GPT-5.2 ProWinner
Overall Score
90
91
GPT-5.2 Pro
Rank#30#25
GPT-5.2 Pro
Quality Rank#30#25
GPT-5.2 Pro
Adoption Rank#30#25
GPT-5.2 Pro
Parameters------
Context Window1000K400K
Claude Opus 4.6 (batch)
Pricing$2.50/$12.50/M$21.00/$168.00/M--
Signal Scores
Capabilities
100
100
Claude Opus 4.6 (batch)
Benchmarks
87
89
GPT-5.2 Pro
Pricing
88
5
Claude Opus 4.6 (batch)
Context window size
95
89
Claude Opus 4.6 (batch)
Recency
91
81
Claude Opus 4.6 (batch)
Output Capacity
82
82
Claude Opus 4.6 (batch)
Benchmark Head-to-Head(13 benchmarks)
Claude Opus: 51 tiesGPT-5.2 Pro: 5
Claude Opus
GPT-5.2 Pro
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 4.6 (batch)Elite Tier

Scores 90/100 (rank #30), placing it in the top 90% of all 290 models tracked.

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

Scores 91/100 (rank #25), placing it in the top 92% 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 (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-5.2 Pro when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Opus 4.6 (batch)Best Value
Input cost$2.50/M tokens
Output cost$12.50/M tokens
Cost per quality point$0.166
Est. monthly (1M tokens/day)$225.00
GPT-5.2 Pro
Input cost$21.00/M tokens
Output cost$168.00/M tokens
Cost per quality point$2.088
Est. monthly (1M tokens/day)$2835.00

Claude Opus 4.6 (batch) offers 92% better value per quality point. At 1M tokens/day, you'd spend $225.00/month with Claude Opus 4.6 (batch) vs $2835.00/month with GPT-5.2 Pro - a $2610.00 monthly difference.

Latency & Speed
Claude Opus 4.6 (batch)Faster
Speed score0/100
GPT-5.2 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

Claude Opus 4.6 (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Claude Opus 4.6 (batch) also offers lower per-token costs for high-volume support

Claude Opus 4.6 (batch)

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)

Batch data extraction

Lower output pricing ($12.50/M) reduces costs when processing thousands of records daily

Claude Opus 4.6 (batch)

Creative writing & content

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

GPT-5.2 Pro

Image understanding & OCR

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

Claude Opus 4.6 (batch)
Which Should You Choose?
Our recommendation:
GPT-5.2 Pro

Claude Opus 4.6 (batch) and GPT-5.2 Pro 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 Cost - 92% 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 Pro
Recommended

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityClaude Opus 4.6 (batch)GPT-5.2 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)

Claude Opus 4.6 (batch)

Anthropic

Best Value
$19.50
estimated monthly cost

GPT-5.2 Pro

OpenAI

$239.40
estimated monthly cost

Claude Opus 4.6 (batch) saves you $219.90/month

That's 92% cheaper than GPT-5.2 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
ParameterClaude Opus 4.6 (batch)GPT-5.2 Pro
Context Window1M400K
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedFeb 4, 2026Dec 10, 2025
Last updated: 55m ago

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