Claude Opus 4.7 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.000625
Output: $0.000625
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 1,000,000 input tokens and 100 output tokens:
- Input Cost: $1.250000
- Output Cost: $0.000625
- Total Cost: $1.250625
- Cost per 1K tokens: $0.001250
- Tokens per dollar: 799,680 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 260 tokens per second and 400ms time to first token:
- Processing Time: 1 hour, 8 minutes, 35.98 seconds
- Latency: 400 milliseconds to first token
- Base Throughput: 260 tokens/second
- Effective Throughput: 243 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.000900
Output: $0.000900
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 1,000,000 input tokens and 100 output tokens:
- Input Cost: $2.000000
- Output Cost: $0.000900
- Total Cost: $2.000900
- Cost per 1K tokens: $0.002001
- Tokens per dollar: 499,825 tokens
- Context Window: 2000000 tokens
Speed & Performance Analysis
With a processing speed of 400 tokens per second and 220ms time to first token:
- Processing Time: 44 minutes, 35.45 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 374 tokens/second (temperature-adjusted)
Best Use Cases
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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 4.7| Rank | AI Model & Provider | Total Cost | vs Claude Opus 4.7 | vs Gemini 3.1 Pro |
|---|---|---|---|---|
| 🏆 |
Llama 4 Scout
Meta AI
|
$0.080030 Best Value | ↓ 93.6% cheaper | ↓ 96% cheaper |
| 🥈 |
Grok 4.20 Beta
xAI
|
$0.500150 | ↓ 60% cheaper | ↓ 75% cheaper |
| 🥉 |
Gemini 2.5 Pro
Google
|
$1.250750 | Same price | ↓ 37.5% cheaper |
| #4 |
Gemini 3.1 Pro
Google
|
$2.000900 | ↑ 60% more | Same price |
| #5 |
GPT-5.4
OpenAI
|
$2.501125 (rounded ~ $2.50) | ↑ 100% more | ↑ 25% more |
| #6 |
GPT-5.4 Thinking
OpenAI
|
$2.501125 (rounded ~ $2.50) | ↑ 100% more | ↑ 25% more |
| #7 |
GPT-5.4 Thinking
OpenAI
|
$2.501125 (rounded ~ $2.50) | ↑ 100% more | ↑ 25% more |
Llama 4 Scout Meta AI
Grok 4.20 Beta xAI
Gemini 2.5 Pro Google
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.4 Thinking OpenAI
Comparing Top Multimodal Models for Image Variation Prompt Generation
For indie game developers aiming to enhance their product visuals through AI image variation, understanding the cost-performance trade-offs between leading multimodal models is crucial. This comparison focuses on the cost per 1 million tokens for generating prompts, which can then be used with external image generation services. The calculator below uses a 1,000,000 token input volume to benchmark the pricing of Claude Opus 4.7 and Gemini 3.1 Pro, illustrating their potential for generating a large number of image variation prompts.
Model Capabilities and Pricing Benchmarks
Both Claude Opus 4.7 by Anthropic and Gemini 3.1 Pro by Google are state-of-the-art multimodal models capable of understanding and processing visual information, making them ideal for generating detailed prompts for AI image variations. When analyzing their pricing per 1 million tokens, significant differences emerge, impacting large-scale prompt generation costs.
Claude Opus 4.7
- Provider: Anthropic
- Context Window: 1,000,000 tokens
- Pricing: $5.00 per 1M input tokens, $25.00 per 1M output tokens.
- Total cost per 1M tokens: $30.00
Gemini 3.1 Pro
- Provider: Google
- Context Window: 2,000,000 tokens
- Pricing: $2.00 per 1M input tokens, $12.00 per 1M output tokens.
- Total cost per 1M tokens: $14.00
Cost Comparison for Image Variation Prompts
Assuming an average of 500 tokens per input (for image analysis/context) and 100 tokens per output prompt, 1 million input tokens can generate approximately 2,000 prompts. For large-scale projects requiring, for example, 100,000 image variation prompts:
- Claude Opus 4.7 would cost roughly (100,000 prompts / 2,000 prompts per 1M input tokens) * $30.00/1M tokens = 50 * $30.00 = $1,500.00.
- Gemini 3.1 Pro would cost roughly (100,000 prompts / 2,000 prompts per 1M input tokens) * $14.00/1M tokens = 50 * $14.00 = $700.00.
Gemini 3.1 Pro presents a more cost-effective solution for generating a high volume of image variation prompts when comparing these two premium models.
Strengths and Weaknesses
- Claude Opus 4.7: Known for its sophisticated reasoning, strong adherence to instructions, and high-quality output, making it excellent for complex creative direction. Its higher cost is justified for applications demanding peak performance.
- Gemini 3.1 Pro: Offers a strong balance of multimodal capabilities, speed, and significantly lower pricing, making it ideal for scaling operations where cost efficiency is paramount without sacrificing substantial quality.