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Claude Opus 4.1 vs GPT-6.1 Terra Pro (batch)

Claude Opus 4.1

Anthropic

82#76
vs
Signal-by-Signal Comparison
SignalClaude Opus 4.1DeltaGPT-6.1 Terra Pro (batch)
Capabilities
83
-17
100
Benchmarks
82
+82
0
Pricing
25
-72
98
Context window size
84
-11
96
Recency
49
-51
100
Output Capacity
72
-10
82
Overall Result
1 wins
of 6
5 wins
GPT-6.1 Terra Pro (batch) wins 5 of 6 signals

Score History

Score History (38 data points)
Claude Opus 4.1GPT-6.1 Terra Pro (batch)
Claude Opus 4.1

82.1

current score

Leader

Claude Opus 4.1

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 4.1

Anthropic

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

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 $5075.00/month

That's $60900.00/year compared to Claude Opus 4.1 at your current usage level of 100K calls/month.

97% cheaper
Choose GPT-6.1 Terra Pro (batch) for cost optimization

Claude Opus 4.1 pricing:
Input:$15.00/M tokens
Output:$75.00/M tokens
GPT-6.1 Terra Pro (batch) pricing:
Input:$0.50/M tokens
Output:$2.50/M tokens
Winner
Claude Opus 4.1

Anthropic

82

Composite Score

GPT-6.1 Terra Pro (batch)

OpenAI

40

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.1GPT-6.1 Terra Pro (batch)Winner
Overall Score
82
40
Claude Opus 4.1
Rank#76#181
Claude Opus 4.1
Quality Rank#76#181
Claude Opus 4.1
Adoption Rank#76#181
Claude Opus 4.1
Parameters------
Context Window200K1050K
GPT-6.1 Terra Pro (batch)
Pricing$15.00/$75.00/M$0.50/$2.50/M--
Signal Scores
Capabilities
83
100
GPT-6.1 Terra Pro (batch)
Benchmarks
82
--
Claude Opus 4.1
Pricing
25
98
GPT-6.1 Terra Pro (batch)
Context window size
84
96
GPT-6.1 Terra Pro (batch)
Recency
49
100
GPT-6.1 Terra Pro (batch)
Output Capacity
72
82
GPT-6.1 Terra Pro (batch)
Benchmark Head-to-Head(12 benchmarks)
Claude Opus: 0GPT-6.1 Terra: 0
Claude Opus
GPT-6.1 Terra
Normalized 0-100%
MMLU
91%-
MMLU-Pro
80%-
GPQA Diamond
82.6%-
MATH-500
86%-
HumanEval
95%-
SWE-bench Verified
72.5%-
AIME 2024
68%-
IFEval
90.5%-
BBH
89%-
Arena Elo
1420-
LiveBench
72%-
HLE
28.5%-
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 4.1Strong Performer

Scores 82/100 (rank #76), placing it in the top 74% 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 4.1 has a 42-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 4.1 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
  • Processing long documents or large codebases (1050K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Opus 4.1
Input cost$15.00/M tokens
Output cost$75.00/M tokens
Cost per quality point$1.096
Est. monthly (1M tokens/day)$1350.00
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 97% better value per quality point. At 1M tokens/day, you'd spend $45.00/month with GPT-6.1 Terra Pro (batch) vs $1350.00/month with Claude Opus 4.1 - a $1305.00 monthly difference.

Latency & Speed
Claude Opus 4.1Faster
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 4.1

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 4.1

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 (82/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 4.1

Image understanding & OCR

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

Claude Opus 4.1
Which Should You Choose?
Our recommendation:
Claude Opus 4.1

Claude Opus 4.1 clearly outperforms GPT-6.1 Terra Pro (batch) with a significant 42.099999999999994-point lead. For most general use cases, Claude Opus 4.1 is the stronger choice. However, GPT-6.1 Terra Pro (batch) may still excel in niche scenarios.

Claude Opus 4.1
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 - 97% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 4.1GPT-6.1 Terra Pro (batch)
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Claude Opus 4.1

Anthropic

$117.00
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 $113.10/month

That's 97% cheaper than Claude Opus 4.1 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 4.1GPT-6.1 Terra Pro (batch)
Context Window200K1.1M
Max Output Tokens32,000128,000
Open SourceNoNo
CreatedAug 5, 2025Oct 26, 2026
Last updated: 49m ago

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Claude Opus 4.1 vs GPT-6.1 Terra Pro (batch) (2026) | LM Market Cap