Claude Opus 5.5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.005000 (rounded ~ $0.01)
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 200,000 input tokens and 1,000 output tokens:
- Input Cost: $0.200000
- Output Cost: $0.005000 (rounded ~ $0.01)
- Total Cost: $0.110000
- Cost per 1K tokens: $0.000547
- Tokens per dollar: 1,827,273 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 280 tokens per second and 380ms time to first token:
- Processing Time: 12 minutes, 12.39 seconds
- Latency: 380 milliseconds to first token
- Base Throughput: 280 tokens/second
- Effective Throughput: 275 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for Claude Opus 5.5. 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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💰 Total Cost Calculation (from Plugin)
Output: $0.005000 (rounded ~ $0.01)
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 200,000 input tokens and 1,000 output tokens:
- Input Cost: $0.200000
- Output Cost: $0.005000 (rounded ~ $0.01)
- Total Cost: $0.115000 (rounded ~ $0.12)
- Cost per 1K tokens: $0.000572
- Tokens per dollar: 1,747,826 tokens
- Context Window: 1050000 tokens
Speed & Performance Analysis
With a processing speed of 131 tokens per second and 340ms time to first token:
- Processing Time: 26 minutes, 5.22 seconds
- Latency: 340 milliseconds to first token
- Base Throughput: 131 tokens/second
- Effective Throughput: 128 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for GPT-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 5.5| Rank | AI Model & Provider | Total Cost | vs Claude Opus 5.5 | vs GPT-6 Sol |
|---|---|---|---|---|
| 🏆 |
GPT-6 Luna
OpenAI
|
$0.005750 (rounded ~ $0.01) Best Value | ↓ 94.8% cheaper | ↓ 95% cheaper |
| 🥈 |
GPT-5.6 Luna
OpenAI
|
$0.005800 (rounded ~ $0.01) | ↓ 94.7% cheaper | ↓ 95% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.007250 (rounded ~ $0.01) | ↓ 93.4% cheaper | ↓ 93.7% cheaper |
| #4 |
Gemini 3.5 Flash-Lite
Google
|
$0.008875 (rounded ~ $0.01) | ↓ 91.9% cheaper | ↓ 92.3% cheaper |
| #5 |
Gemini 2.5 Flash
Google
|
$0.008875 (rounded ~ $0.01) | ↓ 91.9% cheaper | ↓ 92.3% cheaper |
| #6 |
Mistral Large 3
Mistral AI
|
$0.014125 (rounded ~ $0.01) | ↓ 87.2% cheaper | ↓ 87.7% cheaper |
| #7 |
Gemini 3.8 Flash
Google
|
$0.021563 (rounded ~ $0.02) | ↓ 80.4% cheaper | ↓ 81.3% cheaper |
| #8 |
Gemini 3.6 Flash
Google
|
$0.021563 (rounded ~ $0.02) | ↓ 80.4% cheaper | ↓ 81.3% cheaper |
| #9 |
GPT-5.4 mini
OpenAI
|
$0.021750 (rounded ~ $0.02) | ↓ 80.2% cheaper | ↓ 81.1% cheaper |
| #10 |
Claude Haiku 5.5
Anthropic
|
$0.028750 (rounded ~ $0.03) | ↓ 73.9% cheaper | ↓ 75% cheaper |
| #11 |
Claude Haiku 4.5
Anthropic
|
$0.028750 (rounded ~ $0.03) | ↓ 73.9% cheaper | ↓ 75% cheaper |
| #12 |
Gemini 3.1 Flash
Google
|
$0.029000 | ↓ 73.6% cheaper | ↓ 74.8% cheaper |
| #13 |
Mistral Large 4
Mistral AI
|
$0.038445 (rounded ~ $0.04) | ↓ 65.1% cheaper | ↓ 66.6% cheaper |
| #14 |
Claude Sonnet 5.5
Anthropic
|
$0.055000 (rounded ~ $0.06) | ↓ 50% cheaper | ↓ 52.2% cheaper |
| #15 |
Gemini 4 Argon
Google
|
$0.057500 (rounded ~ $0.06) | ↓ 47.7% cheaper | ↓ 50% cheaper |
| #16 |
Claude Sonnet 5
Anthropic
|
$0.057500 (rounded ~ $0.06) | ↓ 47.7% cheaper | ↓ 50% cheaper |
| #17 |
GPT-5.6 Terra
OpenAI
|
$0.058000 (rounded ~ $0.06) | ↓ 47.3% cheaper | ↓ 49.6% cheaper |
| #18 |
Gemini 2.5 Pro
Google
|
$0.073750 (rounded ~ $0.07) | ↓ 33% cheaper | ↓ 35.9% cheaper |
| #19 |
Claude Sonnet 4.6
Anthropic
|
$0.086250 (rounded ~ $0.09) | ↓ 21.6% cheaper | ↓ 25% cheaper |
| #20 |
Grok 4.3
xAI
|
$0.112000 (rounded ~ $0.11) | ↑ 1.8% more | ↓ 2.6% cheaper |
| #21 |
Grok 4.20 Beta
xAI
|
$0.112000 (rounded ~ $0.11) | ↑ 1.8% more | ↓ 2.6% cheaper |
| #22 |
GPT-6.1 Sol
OpenAI
|
$0.115000 (rounded ~ $0.12) | ↑ 4.5% more | Same price |
| #23 |
GPT-6 Sol
OpenAI
|
$0.115000 (rounded ~ $0.12) | ↑ 4.5% more | Same price |
| #24 |
GPT-5.6 Sol
OpenAI
|
$0.115000 (rounded ~ $0.12) | ↑ 4.5% more | Same price |
| #25 |
Gemini 3.1 Pro
Google
|
$0.116000 (rounded ~ $0.12) | ↑ 5.5% more | ↑ 0.9% more |
| #26 |
Claude Opus 4.7
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 30.7% more | ↑ 25% more |
| #27 |
Claude Opus 5
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 30.7% more | ↑ 25% more |
| #28 |
Claude Opus 4.8
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 30.7% more | ↑ 25% more |
| #29 |
Claude Opus 4.6
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 30.7% more | ↑ 25% more |
| #30 |
GPT-5.4
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↑ 31.8% more | ↑ 26.1% more |
| #31 |
GPT-5.4 Thinking
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↑ 31.8% more | ↑ 26.1% more |
| #32 |
GPT-5.5 Instant
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↑ 31.8% more | ↑ 26.1% more |
| #33 |
Claude Fable 5.1
Anthropic
|
$0.268750 (rounded ~ $0.27) | ↑ 144.3% more | ↑ 133.7% more |
| #34 |
Claude Mythos 5.1
Anthropic
|
$0.268750 (rounded ~ $0.27) | ↑ 144.3% more | ↑ 133.7% more |
| #35 |
Claude Fable 5
Anthropic
|
$0.287500 (rounded ~ $0.29) | ↑ 161.4% more | ↑ 150% more |
| #36 |
Claude Mythos 5
Anthropic
|
$0.287500 (rounded ~ $0.29) | ↑ 161.4% more | ↑ 150% more |
| #37 |
GPT-5.5
OpenAI
|
$0.290000 | ↑ 163.6% more | ↑ 152.2% more |
| #38 |
GPT-6 Astra
OpenAI
|
$0.575000 (rounded ~ $0.58) | ↑ 422.7% more | ↑ 400% more |
| #39 |
GPT-6 Astra
OpenAI
|
$0.575000 (rounded ~ $0.58) | ↑ 422.7% more | ↑ 400% more |
GPT-6 Luna OpenAI
GPT-5.6 Luna OpenAI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
GPT-5.4 mini OpenAI
Claude Haiku 5.5 Anthropic
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
Mistral Large 4 Mistral AI
Claude Sonnet 5.5 Anthropic
Gemini 4 Argon Google
Claude Sonnet 5 Anthropic
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-6.1 Sol OpenAI
GPT-6 Sol OpenAI
GPT-5.6 Sol OpenAI
Gemini 3.1 Pro Google
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 Instant OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Localization managers tasked with financial earnings analysis often face the challenge of extracting consistent structured data from complex 10-K filings across multiple languages and jurisdictions. When processing high-volume document pipelines, the choice between frontier models like Claude Opus 5.5 and GPT-6 Sol depends heavily on the specific requirements of your financial intelligence stack. Claude Opus 5.5 is often preferred for its nuanced reasoning and adaptive thinking, which are critical when interpreting subtle disclosures in 10-K footnotes or cross-referencing audit statements across international financial reporting standards. Its ability to maintain coherence over long, complex documents makes it a strong candidate for teams prioritizing accuracy in sensitive financial extraction. Conversely, GPT-6 Sol offers a highly competitive price-to-performance ratio for routine, high-volume extraction tasks where the primary goal is structured data output at scale. For teams managing large-scale, automated financial reporting pipelines, Sol provides a scalable solution that can process vast numbers of documents efficiently. Both models support advanced vision capabilities, allowing them to parse the charts and tables that frequently appear in modern 10-K reports. Choosing between them often comes down to whether your workflow prioritizes the deepest reasoning for complex investigative research or cost-effective throughput for standardized quarterly analysis. Evaluate both models against your existing audit trails and verify how each handles the specific financial terminology and regulatory nuances of your target markets.