Claude Opus 5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.093750 (rounded ~ $0.09)
Output: $0.093750 (rounded ~ $0.09)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 1,000,000 input tokens and 15,000 output tokens:
- Input Cost: $1.250000
- Output Cost: $0.093750 (rounded ~ $0.09)
- Total Cost: $0.443750 (rounded ~ $0.44)
- Cost per 1K tokens: $0.000437
- Tokens per dollar: 2,287,324 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 300 tokens per second and 300ms time to first token:
- Processing Time: 59 minutes, 12.68 seconds
- Latency: 300 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 286 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.750000
Output: $0.750000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 1,000,000 input tokens and 15,000 output tokens:
- Input Cost: $10.000000
- Output Cost: $0.750000
- Total Cost: $3.550000
- Cost per 1K tokens: $0.003498
- Tokens per dollar: 285,915 tokens
- Context Window: 1050000 tokens
Speed & Performance Analysis
With a processing speed of 420 tokens per second and 320ms time to first token:
- Processing Time: 42 minutes, 17.68 seconds
- Latency: 320 milliseconds to first token
- Base Throughput: 420 tokens/second
- Effective Throughput: 400 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for GPT-6 Astra. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
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Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to Claude Opus 5| Rank | AI Model & Provider | Total Cost | vs Claude Opus 5 | vs GPT-6 Astra |
|---|---|---|---|---|
| 🏆 |
Gemini 3.5 Flash-Lite
Google
|
$0.030375 Best Value | ↓ 93.2% cheaper | ↓ 99.1% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.033625 (rounded ~ $0.03) | ↓ 92.4% cheaper | ↓ 99.1% cheaper |
| 🥉 |
Gemini 3.8 Flash
Google
|
$0.066563 (rounded ~ $0.07) | ↓ 85% cheaper | ↓ 98.1% cheaper |
| #4 |
Gemini 3.6 Flash
Google
|
$0.066563 (rounded ~ $0.07) | ↓ 85% cheaper | ↓ 98.1% cheaper |
| #5 |
Gemini 4 Argon
Google
|
$0.177500 (rounded ~ $0.18) | ↓ 60% cheaper | ↓ 95% cheaper |
| #6 |
Gemini 2.5 Pro
Google
|
$0.462500 (rounded ~ $0.46) | ↑ 4.2% more | ↓ 87% cheaper |
| #7 |
GPT-6.1 Sol
OpenAI
|
$0.672500 (rounded ~ $0.67) | ↑ 51.5% more | ↓ 81.1% cheaper |
| #8 |
GPT-6 Sol
OpenAI
|
$0.672500 (rounded ~ $0.67) | ↑ 51.5% more | ↓ 81.1% cheaper |
| #9 |
GPT-5.4
OpenAI
|
$0.868750 (rounded ~ $0.87) | ↑ 95.8% more | ↓ 75.5% cheaper |
| #10 |
GPT-5.4 Thinking
OpenAI
|
$0.868750 (rounded ~ $0.87) | ↑ 95.8% more | ↓ 75.5% cheaper |
| #11 |
GPT-6 Astra
OpenAI
|
$3.550000 | ↑ 700% more | Same price |
| #12 |
GPT-6 Astra
OpenAI
|
$3.550000 | ↑ 700% more | Same price |
Gemini 3.5 Flash-Lite Google
GPT-6 Luna OpenAI
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
Gemini 4 Argon Google
Gemini 2.5 Pro Google
GPT-6.1 Sol OpenAI
GPT-6 Sol OpenAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Scaling Research Intelligence
When scaling a research-centric SaaS, you eventually reach a threshold where simple summarization is insufficient. At the 1M-token scale, the choice between Claude Opus 5 and GPT-6 Astra becomes a critical decision for your product’s underlying reasoning capabilities. Both models offer massive context windows, but their architectural strengths align with different stages of a deep-research pipeline.
Claude Opus 5 is frequently favored for tasks requiring high linguistic nuance and consistent adherence to complex formatting requirements. For literature reviews, its ability to maintain a ‘tone of voice’ and synthesize contradictory findings across multiple documents is exceptional. It is particularly robust for generating final paper drafts that require minimal human editing.
Conversely, GPT-6 Astra leans heavily into agentic workflows and advanced reasoning. If your research tool includes features like automated hypothesis generation or multi-step verification of experimental data, Astra’s reasoning stack often provides higher accuracy. It functions best when the task requires ‘thinking’ through a problem rather than just summarizing existing content.
Strategic Comparison
- Task Complexity: Use Claude Opus 5 for document synthesis and polished long-form drafting where narrative flow matters.
- Agentic Needs: Select GPT-6 Astra if your platform utilizes complex tool calling, web research agents, or multi-stage logical validation to build the research output.
- Reliability: Both models provide industry-leading context recall, crucial for ensuring that the model does not hallucinate details from the massive input files provided during the research phase.
Choosing between them often boils down to whether your product prioritizes ‘authoritative drafting’ or ‘analytical reasoning’.