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Claude Opus 4.1 vs GPT-6 Astra

Claude Opus 4.1

Anthropic

82#73
vs
GPT-6 Astra

OpenAI

82#75
Signal-by-Signal Comparison
SignalClaude Opus 4.1DeltaGPT-6 Astra
Capabilities
83
-17
100
Benchmarks
73
+73
0
Pricing
25
-25
50
Context window size
84
-11
96
Recency
59
-41
100
Output Capacity
72
-10
82
Overall Result
1 wins
of 6
5 wins
GPT-6 Astra wins 5 of 6 signals

Score History

Score History (30 data points)
Claude Opus 4.1GPT-6 Astra
Claude Opus 4.1

82.1

current score

Leader

Claude Opus 4.1

right now

GPT-6 Astra

81.8

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 Astra

OpenAI

Best Value
Per request$0.035000
Daily$116.67
Monthly$3500.00
Annual$42000.00

GPT-6 Astra saves you $1750.00/month

That's $21000.00/year compared to Claude Opus 4.1 at your current usage level of 100K calls/month.

33% cheaper
Choose GPT-6 Astra for cost optimization

Claude Opus 4.1 pricing:
Input:$15.00/M tokens
Output:$75.00/M tokens
GPT-6 Astra pricing:
Input:$10.00/M tokens
Output:$50.00/M tokens
Winner
Claude Opus 4.1

Anthropic

82

Composite Score

GPT-6 Astra

OpenAI

82

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.1GPT-6 AstraWinner
Overall Score
82
82
Claude Opus 4.1
Rank#73#75
Claude Opus 4.1
Quality Rank#73#75
Claude Opus 4.1
Adoption Rank#73#75
Claude Opus 4.1
Parameters------
Context Window200K1050K
GPT-6 Astra
Pricing$15.00/$75.00/M$10.00/$50.00/M--
Signal Scores
Capabilities
83
100
GPT-6 Astra
Benchmarks
73
--
Claude Opus 4.1
Pricing
25
50
GPT-6 Astra
Context window size
84
96
GPT-6 Astra
Recency
59
100
GPT-6 Astra
Output Capacity
72
82
GPT-6 Astra
Benchmark Head-to-Head(2 benchmarks)
Claude Opus: 0GPT-6 Astra: 0
Claude Opus
GPT-6 Astra
Normalized 0-100%
Arena Elo
1450-
HLE
-54.8%
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 #73), placing it in the top 75% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-6 AstraStrong Performer

Scores 82/100 (rank #75), placing it in the top 74% 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 4.1 when you need:

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

Choose GPT-6 Astra 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 AstraBest Value
Input cost$10.00/M tokens
Output cost$50.00/M tokens
Cost per quality point$0.733
Est. monthly (1M tokens/day)$900.00

GPT-6 Astra offers 33% better value per quality point. At 1M tokens/day, you'd spend $900.00/month with GPT-6 Astra vs $1350.00/month with Claude Opus 4.1 - a $450.00 monthly difference.

Latency & Speed
Claude Opus 4.1Faster
Speed score0/100
GPT-6 Astra
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 Astra 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 Astra

Batch data extraction

Lower output pricing ($50.00/M) reduces costs when processing thousands of records daily

GPT-6 Astra

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 and GPT-6 Astra are extremely close in overall performance (only 0.29999999999999716 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

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 - 33% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 4.1GPT-6 Astra
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 Astra

OpenAI

Best Value
$78.00
estimated monthly cost

GPT-6 Astra saves you $39.00/month

That's 33% 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 Astra
Context Window200K1.1M
Max Output Tokens32,000128,000
Open SourceNoNo
CreatedAug 5, 2025Sep 4, 2026
Last updated: 35m ago

相关对比

Claude Opus 4.1 vs GPT-6 Astra (2026) | LM Market Cap