Claude Opus 4.7 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.012500 (rounded ~ $0.01)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Resolution: Medium
Tokens: 2,580,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 2,000 input tokens and 500 output tokens:
- Input Cost: $12.910000
- Output Cost: $0.012500 (rounded ~ $0.01)
- Total Cost: $12.922500 (rounded ~ $12.92)
- Cost per 1K tokens: $0.005004 (rounded ~ $0.01)
- Tokens per dollar: 199,845 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: 2 hours, 57 minutes, 8.16 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: $0.009000
Output: $0.009000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Resolution: Medium
Tokens: 2,580,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 2,000 input tokens and 500 output tokens:
- Input Cost: $10.328000 (rounded ~ $10.33)
- Output Cost: $0.009000
- Total Cost: $10.337000 (rounded ~ $10.34)
- Cost per 1K tokens: $0.004003
- Tokens per dollar: 249,831 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: 1 hour, 55 minutes, 8.37 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 374 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 4.7| Rank | AI Model & Provider | Total Cost | vs Claude Opus 4.7 | vs Gemini 3.1 Pro |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.258350 (rounded ~ $0.26) Best Value | ↓ 98% cheaper | ↓ 97.5% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.646250 (rounded ~ $0.65) | ↓ 95% cheaper | ↓ 93.7% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.775850 (rounded ~ $0.78) | ↓ 94% cheaper | ↓ 92.5% cheaper |
| #4 |
Llama 4 Maverick (400B)
Meta AI
|
$1.208100 (rounded ~ $1.21) | ↓ 90.7% cheaper | ↓ 88.3% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$1.292750 (rounded ~ $1.29) | ↓ 90% cheaper | ↓ 87.5% cheaper |
| #6 |
Kimi K2.5
Moonshot AI
|
$1.550700 | ↓ 88% cheaper | ↓ 85% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$1.938750 (rounded ~ $1.94) | ↓ 85% cheaper | ↓ 81.2% cheaper |
| #8 |
Kimi K2.6
Moonshot AI
|
$2.454900 (rounded ~ $2.45) | ↓ 81% cheaper | ↓ 76.3% cheaper |
| #9 |
o4-mini Deep Research
OpenAI
|
$2.584000 (rounded ~ $2.58) | ↓ 80% cheaper | ↓ 75% cheaper |
| #10 |
Claude Haiku 4.5
Anthropic
|
$2.584500 (rounded ~ $2.58) | ↓ 80% cheaper | ↓ 75% cheaper |
| #11 |
Gemini 3.1 Flash
Google
|
$2.585000 (rounded ~ $2.59) | ↓ 80% cheaper | ↓ 75% cheaper |
| #12 |
o4-mini
OpenAI
|
$2.842400 (rounded ~ $2.84) | ↓ 78% cheaper | ↓ 72.5% cheaper |
| #13 |
Grok 4.3
xAI
|
$3.228750 (rounded ~ $3.23) | ↓ 75% cheaper | ↓ 68.8% cheaper |
| #14 |
Gemini 3.5 Flash
Google
|
$3.877500 (rounded ~ $3.88) | ↓ 70% cheaper | ↓ 62.5% cheaper |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$4.525500 (rounded ~ $4.53) | ↓ 65% cheaper | ↓ 56.2% cheaper |
| #16 |
GPT-5.3 Instant
OpenAI
|
$4.525500 (rounded ~ $4.53) | ↓ 65% cheaper | ↓ 56.2% cheaper |
| #17 |
Gemini 2.5 Pro
Google
|
$6.462500 (rounded ~ $6.46) | ↓ 50% cheaper | ↓ 37.5% cheaper |
| #18 |
Claude Sonnet 4.6
Anthropic
|
$7.753500 (rounded ~ $7.75) | ↓ 40% cheaper | ↓ 25% cheaper |
| #19 |
Gemini 3.1 Pro
Google
|
$10.337000 (rounded ~ $10.34) | ↓ 20% cheaper | Same price |
| #20 |
GPT-5.4
OpenAI
|
$12.921250 (rounded ~ $12.92) | ↓ 0% cheaper | ↑ 25% more |
| #21 |
GPT-5.4 Thinking
OpenAI
|
$12.921250 (rounded ~ $12.92) | ↓ 0% cheaper | ↑ 25% more |
| #22 |
Claude Opus 4.8
Anthropic
|
$12.922500 (rounded ~ $12.92) | Same price | ↑ 25% more |
| #23 |
Claude Opus 4.6
Anthropic
|
$12.922500 (rounded ~ $12.92) | Same price | ↑ 25% more |
| #24 |
GPT-5.5 Instant
OpenAI
|
$12.925000 (rounded ~ $12.93) | Same price | ↑ 25% more |
| #25 |
o3 Deep Research
OpenAI
|
$25.840000 | ↑ 100% more | ↑ 150% more |
| #26 |
GPT-5.5
OpenAI
|
$25.842500 (rounded ~ $25.84) | ↑ 100% more | ↑ 150% more |
| #27 |
o3 Pro
OpenAI
|
$51.680000 | ↑ 299.9% more | ↑ 400% more |
| #28 |
GPT-5.2 Pro
OpenAI
|
$54.306000 (rounded ~ $54.31) | ↑ 320.2% more | ↑ 425.4% more |
| #29 |
GPT-5.5 Pro
OpenAI
|
$77.550000 | ↑ 500.1% more | ↑ 650.2% more |
| #30 |
GPT-5.5 Pro
OpenAI
|
$77.550000 | ↑ 500.1% more | ↑ 650.2% more |
Mistral Small 3 Mistral AI
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Llama 4 Maverick (400B) Meta AI
Mistral Large 3 Mistral AI
Kimi K2.5 Moonshot AI
GPT-5.4 mini OpenAI
Kimi K2.6 Moonshot AI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
o4-mini OpenAI
Grok 4.3 xAI
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 Instant OpenAI
o3 Deep Research OpenAI
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.5 Pro OpenAI
GPT-5.5 Pro OpenAI
For generating storyboard frames and detailed scene descriptions, comparing Claude Opus 4.7 and Gemini 3.1 Pro offers insights into advanced multimodal AI. Claude Opus is renowned for its sophisticated reasoning and ability to follow complex, multi-step instructions, making it adept at interpreting nuanced directorial notes for visual scenes. Gemini 3.1 Pro, with its broader multimodal capabilities including video understanding, can offer a unique perspective on translating narrative flow into visual sequences. When evaluating these for 5,000 storyboard frames, consider Claude’s strength in structured creative output versus Gemini’s potential for dynamic visual interpretation. Factors beyond raw generation quality, such as how each model integrates with existing video production pipelines or its latency for iterative creative feedback, are crucial for consultants. Choosing between them depends on whether the priority is deep textual interpretation for visual fidelity or a more integrated, potentially faster, multimodal workflow.