Claude Opus 5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.006250 (rounded ~ $0.01)
Output: $0.006250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 1,000 output tokens:
- Input Cost: $0.625000 (rounded ~ $0.63)
- Output Cost: $0.006250 (rounded ~ $0.01)
- Total Cost: $0.518750 (rounded ~ $0.52)
- Cost per 1K tokens: $0.001035
- Tokens per dollar: 965,783 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: 28 minutes, 23.58 seconds
- Latency: 300 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 294 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.007500 (rounded ~ $0.01)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 1,000 output tokens:
- Input Cost: $0.625000 (rounded ~ $0.63)
- Output Cost: $0.007500 (rounded ~ $0.01)
- Total Cost: $0.520000
- Cost per 1K tokens: $0.001038
- Tokens per dollar: 963,462 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 700 tokens per second and 140ms time to first token:
- Processing Time: 12 minutes, 10.21 seconds
- Latency: 140 milliseconds to first token
- Base Throughput: 700 tokens/second
- Effective Throughput: 686 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for GPT-5.6 Sol. 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-5.6 Sol |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.026000 (rounded ~ $0.03) Best Value | ↓ 95% cheaper | ↓ 95% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.031375 (rounded ~ $0.03) | ↓ 94% cheaper | ↓ 94% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.031375 (rounded ~ $0.03) | ↓ 94% cheaper | ↓ 94% cheaper |
| #4 |
Gemini 3.8 Flash
Google
|
$0.077813 (rounded ~ $0.08) | ↓ 85% cheaper | ↓ 85% cheaper |
| #5 |
GPT-5.6 Luna
OpenAI
|
$0.104000 (rounded ~ $0.10) | ↓ 80% cheaper | ↓ 80% cheaper |
| #6 |
Gemini 3.6 Flash
Google
|
$0.155625 (rounded ~ $0.16) | ↓ 70% cheaper | ↓ 70.1% cheaper |
| #7 |
Gemini 3.5 Flash
Google
|
$0.156000 (rounded ~ $0.16) | ↓ 69.9% cheaper | ↓ 70% cheaper |
| #8 |
Claude Sonnet 5
Anthropic
|
$0.207500 (rounded ~ $0.21) | ↓ 60% cheaper | ↓ 60.1% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.208000 (rounded ~ $0.21) | ↓ 59.9% cheaper | ↓ 60% cheaper |
| #10 |
GPT-5.6 Terra
OpenAI
|
$0.260000 | ↓ 49.9% cheaper | ↓ 50% cheaper |
| #11 |
Claude Sonnet 4.6
Anthropic
|
$0.311250 (rounded ~ $0.31) | ↓ 40% cheaper | ↓ 40.1% cheaper |
| #12 |
Claude Opus 4.7
Anthropic
|
$0.518750 (rounded ~ $0.52) | Same price | ↓ 0.2% cheaper |
| #13 |
Claude Opus 4.8
Anthropic
|
$0.518750 (rounded ~ $0.52) | Same price | ↓ 0.2% cheaper |
| #14 |
Claude Opus 4.6
Anthropic
|
$0.518750 (rounded ~ $0.52) | Same price | ↓ 0.2% cheaper |
| #15 |
Gemini 2.5 Pro
Google
|
$0.520000 | ↑ 0.2% more | Same price |
| #16 |
GPT-5.6 Sol
OpenAI
|
$0.520000 | ↑ 0.2% more | Same price |
| #17 |
Grok 4.3
xAI
|
$0.824000 (rounded ~ $0.82) | ↑ 58.8% more | ↑ 58.5% more |
| #18 |
Grok 4.20 Beta
xAI
|
$0.824000 (rounded ~ $0.82) | ↑ 58.8% more | ↑ 58.5% more |
| #19 |
Gemini 3.1 Pro
Google
|
$0.829000 | ↑ 59.8% more | ↑ 59.4% more |
| #20 |
Claude Fable 5.1
Anthropic
|
$1.018750 (rounded ~ $1.02) | ↑ 96.4% more | ↑ 95.9% more |
| #21 |
Claude Mythos 5.1
Anthropic
|
$1.018750 (rounded ~ $1.02) | ↑ 96.4% more | ↑ 95.9% more |
| #22 |
GPT-5.4
OpenAI
|
$1.036250 (rounded ~ $1.04) | ↑ 99.8% more | ↑ 99.3% more |
| #23 |
GPT-5.4 Thinking
OpenAI
|
$1.036250 (rounded ~ $1.04) | ↑ 99.8% more | ↑ 99.3% more |
| #24 |
Claude Fable 5
Anthropic
|
$1.037500 (rounded ~ $1.04) | ↑ 100% more | ↑ 99.5% more |
| #25 |
Claude Mythos 5
Anthropic
|
$1.037500 (rounded ~ $1.04) | ↑ 100% more | ↑ 99.5% more |
| #26 |
GPT-5.5
OpenAI
|
$2.072500 (rounded ~ $2.07) | ↑ 299.5% more | ↑ 298.6% more |
| #27 |
GPT-6 Astra
OpenAI
|
$4.150000 | ↑ 700% more | ↑ 698.1% more |
| #28 |
GPT-6 Astra
OpenAI
|
$4.150000 | ↑ 700% more | ↑ 698.1% more |
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
Gemini 2.5 Pro Google
GPT-5.6 Sol OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Choosing Between Frontier Models for Legal Workflows
In 2026, the legal technology landscape has matured beyond general-purpose chatbots. CTOs now demand high-fidelity reasoning for complex contract review, where a single missed clause or hallucinated interpretation poses significant liability. When processing 500K-token document sets—typical for M&A due diligence or large-scale portfolio audits—the choice between Claude Opus 5 and GPT-5.6 Sol hinges on architectural strengths.
Claude Opus 5 has emerged as a preferred choice for legal professionals who prioritize nuanced instruction following and complex structural reasoning. Its internal thinking mechanisms are particularly effective at navigating dense, multi-party agreements where consistency across 50+ page documents is paramount. It excels at maintaining context without losing the thread of definitions or cross-referenced liabilities.
Conversely, GPT-5.6 Sol offers a robust reasoning engine that is often favored for its speed and integration versatility. It is highly adept at standardized extraction tasks and structured output generation, making it a reliable workhorse for pipelines that feed into downstream document management systems. If your workflow relies heavily on agentic orchestration—where the model must interact with multiple data sources or external tools—GPT-5.6 Sol often provides a more seamless interface.
Ultimately, both models handle the 500K-token context window with ease. The decision often comes down to your internal engineering stack: prioritize Claude if your team demands the highest level of qualitative, clause-level nuance; lean toward GPT-5.6 Sol if your primary requirement is high-throughput, structured extraction that integrates directly into existing automated legal workflows.