Claude Opus 4.7 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.009375
Output: $0.009375
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,500 output tokens:
- Input Cost: $0.125000 (rounded ~ $0.13)
- Output Cost: $0.009375
- Total Cost: $0.066875 (rounded ~ $0.07)
- Cost per 1K tokens: $0.000659
- Tokens per dollar: 1,517,757 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: 6 minutes, 53.99 seconds
- Latency: 400 milliseconds to first token
- Base Throughput: 260 tokens/second
- Effective Throughput: 245 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)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,500 output tokens:
- Input Cost: $0.100000
- Output Cost: $0.009000
- Total Cost: $0.055000 (rounded ~ $0.06)
- Cost per 1K tokens: $0.000542
- Tokens per dollar: 1,845,455 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: 4 minutes, 29.16 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 377 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
|
$0.001263 Best Value | ↓ 98.1% cheaper | ↓ 97.7% cheaper |
| 🥈 |
Devstral Small 2
Mistral AI
|
$0.001263 | ↓ 98.1% cheaper | ↓ 97.7% cheaper |
| 🥉 |
Grok Code Fast 1
xAI
|
$0.002863 | ↓ 95.7% cheaper | ↓ 94.8% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.003438 | ↓ 94.9% cheaper | ↓ 93.8% cheaper |
| #5 |
Nemotron 3 Super
Mistral AI
|
$0.003758 | ↓ 94.4% cheaper | ↓ 93.2% cheaper |
| #6 |
Gemini 2.5 Flash
Google
|
$0.004388 | ↓ 93.4% cheaper | ↓ 92% cheaper |
| #7 |
Devstral 2
Mistral AI
|
$0.004938 | ↓ 92.6% cheaper | ↓ 91% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.006313 (rounded ~ $0.01) | ↓ 90.6% cheaper | ↓ 88.5% cheaper |
| #9 |
GPT-5.4 mini
OpenAI
|
$0.010313 | ↓ 84.6% cheaper | ↓ 81.3% cheaper |
| #10 |
o4-mini Deep Research
OpenAI
|
$0.013000 (rounded ~ $0.01) | ↓ 80.6% cheaper | ↓ 76.4% cheaper |
| #11 |
Claude Haiku 4.5
Anthropic
|
$0.013375 (rounded ~ $0.01) | ↓ 80% cheaper | ↓ 75.7% cheaper |
| #12 |
Gemini 3.1 Flash
Google
|
$0.013750 (rounded ~ $0.01) | ↓ 79.4% cheaper | ↓ 75% cheaper |
| #13 |
o4-mini
OpenAI
|
$0.014300 (rounded ~ $0.01) | ↓ 78.6% cheaper | ↓ 74% cheaper |
| #14 |
Grok 4.3
xAI
|
$0.015313 (rounded ~ $0.02) | ↓ 77.1% cheaper | ↓ 72.2% cheaper |
| #15 |
Gemini 3.5 Flash
Google
|
$0.020625 | ↓ 69.2% cheaper | ↓ 62.5% cheaper |
| #16 |
Magistral Medium
Mistral AI
|
$0.024875 (rounded ~ $0.02) | ↓ 62.8% cheaper | ↓ 54.8% cheaper |
| #17 |
Grok 4.20 Beta
xAI
|
$0.025250 (rounded ~ $0.03) | ↓ 62.2% cheaper | ↓ 54.1% cheaper |
| #18 |
GPT-5.3 Codex Spark
OpenAI
|
$0.025375 (rounded ~ $0.03) | ↓ 62.1% cheaper | ↓ 53.9% cheaper |
| #19 |
GPT-5.3 Instant
OpenAI
|
$0.025375 (rounded ~ $0.03) | ↓ 62.1% cheaper | ↓ 53.9% cheaper |
| #20 |
Gemini 2.5 Pro
Google
|
$0.036250 (rounded ~ $0.04) | ↓ 45.8% cheaper | ↓ 34.1% cheaper |
| #21 |
Claude Sonnet 4.6
Anthropic
|
$0.040125 | ↓ 40% cheaper | ↓ 27% cheaper |
| #22 |
Gemini 3.1 Pro
Google
|
$0.055000 (rounded ~ $0.06) | ↓ 17.8% cheaper | Same price |
| #23 |
Claude Opus 4.8
Anthropic
|
$0.066875 (rounded ~ $0.07) | Same price | ↑ 21.6% more |
| #24 |
Claude Opus 4.6
Anthropic
|
$0.066875 (rounded ~ $0.07) | Same price | ↑ 21.6% more |
| #25 |
GPT-5.4
OpenAI
|
$0.068750 (rounded ~ $0.07) | ↑ 2.8% more | ↑ 25% more |
| #26 |
GPT-5.4 Thinking
OpenAI
|
$0.068750 (rounded ~ $0.07) | ↑ 2.8% more | ↑ 25% more |
| #27 |
GPT-5.5 Instant
OpenAI
|
$0.068750 (rounded ~ $0.07) | ↑ 2.8% more | ↑ 25% more |
| #28 |
o3 Deep Research
OpenAI
|
$0.130000 | ↑ 94.4% more | ↑ 136.4% more |
| #29 |
GPT-5.5
OpenAI
|
$0.137500 (rounded ~ $0.14) | ↑ 105.6% more | ↑ 150% more |
| #30 |
o3 Pro
OpenAI
|
$0.260000 | ↑ 288.8% more | ↑ 372.7% more |
| #31 |
GPT-5.2 Pro
OpenAI
|
$0.304500 (rounded ~ $0.30) | ↑ 355.3% more | ↑ 453.6% more |
| #32 |
GPT-5.2 Pro
OpenAI
|
$0.304500 (rounded ~ $0.30) | ↑ 355.3% more | ↑ 453.6% more |
Mistral Small 3 Mistral AI
Devstral Small 2 Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Nemotron 3 Super Mistral AI
Gemini 2.5 Flash Google
Devstral 2 Mistral AI
Mistral Large 3 Mistral AI
GPT-5.4 mini OpenAI
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
Magistral Medium Mistral AI
Grok 4.20 Beta xAI
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
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 Instant OpenAI
o3 Deep Research OpenAI
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Translating marketing assets at an enterprise scale of 100 million tokens monthly is a distinct architectural challenge. It is not merely about language fluency; it is about cultural resonance and the preservation of brand voice across dozens of target languages. When comparing Claude Opus 4.7 and Gemini 3.1 Pro for this specific localization workload, the decision comes down to the balance between creative nuance and multi-modal integration.
Claude Opus 4.7 is the specialist for delicate, high-stakes localization. Its strength lies in its exceptional grasp of idiom and structural nuance, making it the preferred choice when translating campaign copy where a literal translation would miss the mark. If your A/B testing requires sophisticated puns, local cultural allusions, or specific tone-of-voice adjustments in high-growth markets, Opus 4.7 provides a level of linguistic precision that is hard to match. It is the architect of your brand’s international presence.
Conversely, Gemini 3.1 Pro is the engine for systemic efficiency. It excels in multimodal ingestion, making it uniquely suited for localization workflows that include video assets, charts, or visual UI elements alongside text. If your localization pipeline involves processing screen-captured assets or analyzing video marketing materials as part of your A/B strategy, Gemini’s ability to reason over these inputs in a unified context is a significant operational advantage. It bridges the gap between text-based translation and total asset localization, providing a streamlined, end-to-end approach for massive, diverse datasets.