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Claude Opus 5.5 vs GPT-6.1 Terra Pro (batch)

Claude Opus 5.5

Anthropic

95#5
vs
Signal-by-Signal Comparison
SignalClaude Opus 5.5DeltaGPT-6.1 Terra Pro (batch)
Capabilities
100
--
100
Pricing
80
-17
98
Context window size
95
0
96
Recency
100
--
100
Output Capacity
82
--
82
Overall Result
0 wins
of 5
2 wins
GPT-6.1 Terra Pro (batch) wins 2 of 5 signals

Score History

Score History (7 data points)
Claude Opus 5.5GPT-6.1 Terra Pro (batch)
Claude Opus 5.5

95.1

current score

Leader

Claude Opus 5.5

right now

GPT-6.1 Terra Pro (batch)

40

current score

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

Claude Opus 5.5

Anthropic

Per request$0.014000
Daily$46.67
Monthly$1400.00
Annual$16800.00

GPT-6.1 Terra Pro (batch)

OpenAI

Best Value
Per request$0.001750
Daily$5.83
Monthly$175.00
Annual$2100.00

GPT-6.1 Terra Pro (batch) saves you $1225.00/month

That's $14700.00/year compared to Claude Opus 5.5 at your current usage level of 100K calls/month.

88% cheaper
Choose GPT-6.1 Terra Pro (batch) for cost optimization

Claude Opus 5.5 pricing:
Input:$4.00/M tokens
Output:$20.00/M tokens
GPT-6.1 Terra Pro (batch) pricing:
Input:$0.50/M tokens
Output:$2.50/M tokens
Winner
Claude Opus 5.5

Anthropic

95

Composite Score

GPT-6.1 Terra Pro (batch)

OpenAI

40

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 5.5GPT-6.1 Terra Pro (batch)Winner
Overall Score
95
40
Claude Opus 5.5
Rank#5#181
Claude Opus 5.5
Quality Rank#5#181
Claude Opus 5.5
Adoption Rank#5#181
Claude Opus 5.5
Parameters------
Context Window1000K1050K
GPT-6.1 Terra Pro (batch)
Pricing$4.00/$20.00/M$0.50/$2.50/M--
Signal Scores
Capabilities
100
100
Claude Opus 5.5
Pricing
80
98
GPT-6.1 Terra Pro (batch)
Context window size
95
96
GPT-6.1 Terra Pro (batch)
Recency
100
100
Claude Opus 5.5
Output Capacity
82
82
Claude Opus 5.5
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 5.5Elite Tier

Scores 95/100 (rank #5), placing it in the top 99% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-6.1 Terra Pro (batch)Entry Level

Scores 40/100 (rank #181), placing it in the top 38% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Claude Opus 5.5 has a 55-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Claude Opus 5.5 when you need:

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

Choose GPT-6.1 Terra Pro (batch) 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 5.5
Input cost$4.00/M tokens
Output cost$20.00/M tokens
Cost per quality point$0.252
Est. monthly (1M tokens/day)$360.00
GPT-6.1 Terra Pro (batch)Best Value
Input cost$0.50/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.075
Est. monthly (1M tokens/day)$45.00

GPT-6.1 Terra Pro (batch) offers 88% better value per quality point. At 1M tokens/day, you'd spend $45.00/month with GPT-6.1 Terra Pro (batch) vs $360.00/month with Claude Opus 5.5 - a $315.00 monthly difference.

Latency & Speed
Claude Opus 5.5Faster
Speed score0/100
GPT-6.1 Terra 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 5.5

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-6.1 Terra Pro (batch) also offers lower per-token costs for high-volume support

Claude Opus 5.5

Long document analysis

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

GPT-6.1 Terra Pro (batch)

Batch data extraction

Lower output pricing ($2.50/M) reduces costs when processing thousands of records daily

GPT-6.1 Terra Pro (batch)

Creative writing & content

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

Claude Opus 5.5

Image understanding & OCR

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

Claude Opus 5.5
Which Should You Choose?
Our recommendation:
Claude Opus 5.5

Claude Opus 5.5 clearly outperforms GPT-6.1 Terra Pro (batch) with a significant 55.099999999999994-point lead. For most general use cases, Claude Opus 5.5 is the stronger choice. However, GPT-6.1 Terra Pro (batch) may still excel in niche scenarios.

Claude Opus 5.5
Recommended

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

by OpenAI

  • Choose for Cost - 88% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 5.5GPT-6.1 Terra 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 5.5

Anthropic

$31.20
estimated monthly cost

GPT-6.1 Terra Pro (batch)

OpenAI

Best Value
$3.90
estimated monthly cost

GPT-6.1 Terra Pro (batch) saves you $27.30/month

That's 88% cheaper than Claude Opus 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 5.5GPT-6.1 Terra Pro (batch)
Context Window1M1.1M
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedSep 22, 2026Oct 26, 2026
Last updated: 45m ago

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