Skip to content

Claude Opus 4.6 vs GPT-5.2 Pro (batch)

Claude Opus 4.6

Anthropic

90#24
vs
Signal-by-Signal Comparison
SignalClaude Opus 4.6DeltaGPT-5.2 Pro (batch)
Capabilities
100
--
100
Benchmarks
87
-2
89
Pricing
75
+59
16
Context window size
95
+6
89
Recency
85
+10
75
Output Capacity
82
--
82
Overall Result
3 wins
of 6
1 wins
Claude Opus 4.6 wins 3 of 6 signals

Score History

Score History (37 data points)
Claude Opus 4.6GPT-5.2 Pro (batch)
Claude Opus 4.6

90.4

current score

Leader

GPT-5.2 Pro (batch)

right now

GPT-5.2 Pro (batch)

90.5

current score

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

Claude Opus 4.6

Anthropic

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

GPT-5.2 Pro (batch)

OpenAI

Per request$0.052500
Daily$175.00
Monthly$5250.00
Annual$63000.00

Claude Opus 4.6 saves you $3500.00/month

That's $42000.00/year compared to GPT-5.2 Pro (batch) at your current usage level of 100K calls/month.

67% cheaper
Choose Claude Opus 4.6 for cost optimization

Claude Opus 4.6 pricing:
Input:$5.00/M tokens
Output:$25.00/M tokens
GPT-5.2 Pro (batch) pricing:
Input:$10.50/M tokens
Output:$84.00/M tokens
Claude Opus 4.6

Anthropic

90

Composite Score

Winner
GPT-5.2 Pro (batch)

OpenAI

91

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.6GPT-5.2 Pro (batch)Winner
Overall Score
90
91
GPT-5.2 Pro (batch)
Rank#24#22
GPT-5.2 Pro (batch)
Quality Rank#24#22
GPT-5.2 Pro (batch)
Adoption Rank#24#22
GPT-5.2 Pro (batch)
Parameters------
Context Window1000K400K
Claude Opus 4.6
Pricing$5.00/$25.00/M$10.50/$84.00/M--
Signal Scores
Capabilities
100
100
Claude Opus 4.6
Benchmarks
87
89
GPT-5.2 Pro (batch)
Pricing
75
16
Claude Opus 4.6
Context window size
95
89
Claude Opus 4.6
Recency
85
75
Claude Opus 4.6
Output Capacity
82
82
Claude Opus 4.6
Benchmark Head-to-Head(13 benchmarks)
Claude Opus: 7GPT-5.2 Pro: 4
Claude Opus
GPT-5.2 Pro
Normalized 0-100%
MMLU
92.1%93%
MMLU-Pro
82.5%84.5%
GPQA Diamond
88.4%85%
MATH-500
90.5%92.5%
HumanEval
96%96.5%
SWE-bench Verified
83.7%75%
AIME 2024
78%-
IFEval
92.8%92%
BBH
91.5%90.5%
Arena Elo
15031465
LiveBench
78.5%76%
HLE
38.2%35%
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 #24), placing it in the top 92% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.2 Pro (batch)Elite Tier

Scores 91/100 (rank #22), placing it in the top 93% 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:

  • 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 (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Opus 4.6Best Value
Input cost$5.00/M tokens
Output cost$25.00/M tokens
Cost per quality point$0.332
Est. monthly (1M tokens/day)$450.00
GPT-5.2 Pro (batch)
Input cost$10.50/M tokens
Output cost$84.00/M tokens
Cost per quality point$1.044
Est. monthly (1M tokens/day)$1417.50

Claude Opus 4.6 offers 68% better value per quality point. At 1M tokens/day, you'd spend $450.00/month with Claude Opus 4.6 vs $1417.50/month with GPT-5.2 Pro (batch) - a $967.50 monthly difference.

Latency & Speed
Claude Opus 4.6Faster
Speed score0/100
GPT-5.2 Pro (batch)
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. Claude Opus 4.6 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 ($25.00/M) reduces costs when processing thousands of records daily

Claude Opus 4.6

Creative writing & content

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

GPT-5.2 Pro (batch)

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 Pro (batch)

Claude Opus 4.6 and GPT-5.2 Pro (batch) 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 - 68% 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
CapabilityClaude Opus 4.6GPT-5.2 Pro (batch)
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

Best Value
$39.00
estimated monthly cost

GPT-5.2 Pro (batch)

OpenAI

$119.70
estimated monthly cost

Claude Opus 4.6 saves you $80.70/month

That's 67% cheaper than GPT-5.2 Pro (batch) 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 Pro (batch)
Context Window1M400K
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedFeb 4, 2026Dec 10, 2025
Last updated: 23m ago

Related comparisons

Claude Opus 4.6 vs GPT-5.2 Pro (batch) (2026) | LM Market Cap