Claude Opus 5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.015625 (rounded ~ $0.02)
Output: $0.015625 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 200,000 input tokens and 2,500 output tokens:
- Input Cost: $0.250000
- Output Cost: $0.015625 (rounded ~ $0.02)
- Total Cost: $0.130625
- Cost per 1K tokens: $0.000645
- Tokens per dollar: 1,550,239 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: 11 minutes, 42.18 seconds
- Latency: 300 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 288 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.022500 (rounded ~ $0.02)
Output: $0.022500 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 200,000 input tokens and 2,500 output tokens:
- Input Cost: $0.400000
- Output Cost: $0.022500 (rounded ~ $0.02)
- Total Cost: $0.206500 (rounded ~ $0.21)
- Cost per 1K tokens: $0.001020
- Tokens per dollar: 980,630 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 400 tokens per second and 220ms time to first token:
- Processing Time: 8 minutes, 46.68 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 385 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Gemini 3.1 Pro. 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 Gemini 3.1 Pro |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.006688 (rounded ~ $0.01) Best Value | ↓ 94.9% cheaper | ↓ 96.8% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.008463 (rounded ~ $0.01) | ↓ 93.5% cheaper | ↓ 95.9% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.008463 (rounded ~ $0.01) | ↓ 93.5% cheaper | ↓ 95.9% cheaper |
| #4 |
Mistral Large 3
Mistral AI
|
$0.012438 (rounded ~ $0.01) | ↓ 90.5% cheaper | ↓ 94% cheaper |
| #5 |
Gemini 3.8 Flash
Google
|
$0.019594 | ↓ 85% cheaper | ↓ 90.5% cheaper |
| #6 |
GPT-5.4 mini
OpenAI
|
$0.020063 | ↓ 84.6% cheaper | ↓ 90.3% cheaper |
| #7 |
Claude Haiku 4.5
Anthropic
|
$0.026125 (rounded ~ $0.03) | ↓ 80% cheaper | ↓ 87.3% cheaper |
| #8 |
GPT-5.6 Luna
OpenAI
|
$0.026750 (rounded ~ $0.03) | ↓ 79.5% cheaper | ↓ 87% cheaper |
| #9 |
Gemini 3.6 Flash
Google
|
$0.039188 | ↓ 70% cheaper | ↓ 81% cheaper |
| #10 |
Gemini 3.5 Flash
Google
|
$0.040125 | ↓ 69.3% cheaper | ↓ 80.6% cheaper |
| #11 |
Claude Sonnet 5
Anthropic
|
$0.052250 (rounded ~ $0.05) | ↓ 60% cheaper | ↓ 74.7% cheaper |
| #12 |
Gemini 3.1 Flash
Google
|
$0.053500 (rounded ~ $0.05) | ↓ 59% cheaper | ↓ 74.1% cheaper |
| #13 |
GPT-5.6 Terra
OpenAI
|
$0.066875 (rounded ~ $0.07) | ↓ 48.8% cheaper | ↓ 67.6% cheaper |
| #14 |
Claude Sonnet 4.6
Anthropic
|
$0.078375 (rounded ~ $0.08) | ↓ 40% cheaper | ↓ 62% cheaper |
| #15 |
Claude Opus 4.7
Anthropic
|
$0.130625 | Same price | ↓ 36.7% cheaper |
| #16 |
Claude Opus 4.8
Anthropic
|
$0.130625 | Same price | ↓ 36.7% cheaper |
| #17 |
Claude Opus 4.6
Anthropic
|
$0.130625 | Same price | ↓ 36.7% cheaper |
| #18 |
GPT-5.4
OpenAI
|
$0.133750 (rounded ~ $0.13) | ↑ 2.4% more | ↓ 35.2% cheaper |
| #19 |
GPT-5.4 Thinking
OpenAI
|
$0.133750 (rounded ~ $0.13) | ↑ 2.4% more | ↓ 35.2% cheaper |
| #20 |
Gemini 2.5 Pro
Google
|
$0.133750 (rounded ~ $0.13) | ↑ 2.4% more | ↓ 35.2% cheaper |
| #21 |
GPT-5.5 Instant
OpenAI
|
$0.133750 (rounded ~ $0.13) | ↑ 2.4% more | ↓ 35.2% cheaper |
| #22 |
GPT-5.6 Sol
OpenAI
|
$0.133750 (rounded ~ $0.13) | ↑ 2.4% more | ↓ 35.2% cheaper |
| #23 |
Grok 4.3
xAI
|
$0.194000 (rounded ~ $0.19) | ↑ 48.5% more | ↓ 6.1% cheaper |
| #24 |
Grok 4.20 Beta
xAI
|
$0.194000 (rounded ~ $0.19) | ↑ 48.5% more | ↓ 6.1% cheaper |
| #25 |
Gemini 3.1 Pro
Google
|
$0.206500 (rounded ~ $0.21) | ↑ 58.1% more | Same price |
| #26 |
Claude Fable 5.1
Anthropic
|
$0.238750 (rounded ~ $0.24) | ↑ 82.8% more | ↑ 15.6% more |
| #27 |
Claude Mythos 5.1
Anthropic
|
$0.238750 (rounded ~ $0.24) | ↑ 82.8% more | ↑ 15.6% more |
| #28 |
Claude Fable 5
Anthropic
|
$0.261250 (rounded ~ $0.26) | ↑ 100% more | ↑ 26.5% more |
| #29 |
Claude Mythos 5
Anthropic
|
$0.261250 (rounded ~ $0.26) | ↑ 100% more | ↑ 26.5% more |
| #30 |
GPT-5.5
OpenAI
|
$0.516250 (rounded ~ $0.52) | ↑ 295.2% more | ↑ 150% more |
| #31 |
GPT-6 Astra
OpenAI
|
$1.045000 (rounded ~ $1.05) | ↑ 700% more | ↑ 406.1% more |
| #32 |
GPT-6 Astra
OpenAI
|
$1.045000 (rounded ~ $1.05) | ↑ 700% more | ↑ 406.1% more |
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
GPT-5.4 mini OpenAI
Claude Haiku 4.5 Anthropic
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
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Gemini 2.5 Pro Google
GPT-5.5 Instant OpenAI
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
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Frontier Model Selection for Financial Workflows
Choosing between Claude Opus 5 and Gemini 3.1 Pro for enterprise financial analysis involves balancing instruction-following rigor against complex reasoning capabilities. Claude Opus 5 has established itself as a premier model for tasks requiring strict adherence to complex, multi-step prompt instructions. Its ability to maintain a consistent output format across long, 200,000-token document processing sessions makes it an ideal choice for teams that require rigid, standardized JSON outputs from unstructured 10-K filings.
Conversely, Gemini 3.1 Pro distinguishes itself through its reasoning architecture, which is highly effective when the analysis requires synthesizing data across disparate sections of a filing. Where Opus 5 excels at following a predefined extraction template, Gemini 3.1 Pro often proves more capable of inferring relationships in novel or highly variable document layouts that haven’t been explicitly templated. For localization and financial teams, this makes Gemini 3.1 Pro a strong candidate for exploratory data analysis, while Claude Opus 5 remains the standard for deterministic, high-volume production extraction.
Both models offer significant improvements in long-context memory, yet they serve distinct operational needs. Teams should consider their existing infrastructure; those deeply integrated with Anthropic’s tool-use ecosystem or specific agentic frameworks may find the transition to Claude Opus 5 more seamless. Meanwhile, teams leveraging native multimodal document parsing may find Gemini 3.1 Pro’s unified architecture more efficient for reducing multi-stage pipeline complexity.