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Claude Opus 5 vs GPT-5.5

Claude Opus 5

Anthropic

95#3
vs
GPT-5.5

OpenAI

93#9
Signal-by-Signal Comparison
SignalClaude Opus 5DeltaGPT-5.5
Capabilities
100
--
100
Pricing
75
+5
70
Context window size
95
0
96
Recency
100
--
100
Output Capacity
85
--
85
Benchmarks
0
-93
93
Overall Result
1 wins
of 6
2 wins
GPT-5.5 wins 2 of 6 signals

Score History

Score History (15 data points)
Claude Opus 5GPT-5.5
Claude Opus 5

95.1

current score

Leader

Claude Opus 5

right now

GPT-5.5

92.7

current score

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

Claude Opus 5

Anthropic

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

GPT-5.5

OpenAI

Per request$0.020000
Daily$66.67
Monthly$2000.00
Annual$24000.00

Claude Opus 5 saves you $250.00/month

That's $3000.00/year compared to GPT-5.5 at your current usage level of 100K calls/month.

12% cheaper
Choose Claude Opus 5 for cost optimization

Claude Opus 5 pricing:
Input:$5.00/M tokens
Output:$25.00/M tokens
GPT-5.5 pricing:
Input:$5.00/M tokens
Output:$30.00/M tokens
Winner
Claude Opus 5

Anthropic

95

Composite Score

GPT-5.5

OpenAI

93

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 5GPT-5.5Winner
Overall Score
95
93
Claude Opus 5
Rank#3#9
Claude Opus 5
Quality Rank#3#9
Claude Opus 5
Adoption Rank#3#9
Claude Opus 5
Parameters------
Context Window1000K1050K
GPT-5.5
Pricing$5.00/$25.00/M$5.00/$30.00/M--
Signal Scores
Capabilities
100
100
Claude Opus 5
Pricing
75
70
Claude Opus 5
Context window size
95
96
GPT-5.5
Recency
100
100
Claude Opus 5
Output Capacity
85
85
Claude Opus 5
Benchmarks--
93
GPT-5.5
Benchmark Head-to-Head(5 benchmarks)
Claude Opus: 0GPT-5.5: 0
Claude Opus
GPT-5.5
Normalized 0-100%
MMLU
-92.4%
GPQA Diamond
-93.6%
SWE-bench Verified
-88.7%
Arena Elo
-1475
HLE
-41.4%
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 5Elite Tier

Scores 95/100 (rank #3), placing it in the top 99% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.5Elite Tier

Scores 93/100 (rank #9), placing it in the top 97% 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 Claude Opus 5 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-5.5 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Opus 5Best Value
Input cost$5.00/M tokens
Output cost$25.00/M tokens
Cost per quality point$0.315
Est. monthly (1M tokens/day)$450.00
GPT-5.5
Input cost$5.00/M tokens
Output cost$30.00/M tokens
Cost per quality point$0.378
Est. monthly (1M tokens/day)$525.00

Claude Opus 5 offers 14% better value per quality point. At 1M tokens/day, you'd spend $450.00/month with Claude Opus 5 vs $525.00/month with GPT-5.5 - a $75.00 monthly difference.

Latency & Speed
Claude Opus 5Faster
Speed score0/100
GPT-5.5
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 5

Customer support chatbot

Suitable for user-facing chat with competitive response times. Claude Opus 5 also offers lower per-token costs for high-volume support

Claude Opus 5

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.5

Batch data extraction

Lower output pricing ($25.00/M) reduces costs when processing thousands of records daily

Claude Opus 5

Creative writing & content

Higher overall composite score (95/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 5

Image understanding & OCR

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

Claude Opus 5
Which Should You Choose?
Our recommendation:
Claude Opus 5

Claude Opus 5 and GPT-5.5 are extremely close in overall performance (only 2.3999999999999915 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Claude Opus 5
Recommended

by Anthropic

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 14% 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 5GPT-5.5
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 5

Anthropic

Best Value
$39.00
estimated monthly cost

GPT-5.5

OpenAI

$45.00
estimated monthly cost

Claude Opus 5 saves you $6.00/month

That's 13% cheaper than GPT-5.5 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 5GPT-5.5
Context Window1M1.1M
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedJul 24, 2026Apr 24, 2026
Last updated: 54m ago

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