Claude Opus 4.7 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 500 input tokens and 800 output tokens:
- Input Cost: $0.000625
- Output Cost: $0.005000 (rounded ~ $0.01)
- Total Cost: $0.005513 (rounded ~ $0.01)
- Cost per 1K tokens: $0.004240
- Tokens per dollar: 235,828 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: 5.53 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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This calculator shows the math for Claude Opus 4.7. 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: $0.004800
Output: $0.004800
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500 input tokens and 800 output tokens:
- Input Cost: $0.000500
- Output Cost: $0.004800
- Total Cost: $0.005210 (rounded ~ $0.01)
- Cost per 1K tokens: $0.004008
- Tokens per dollar: 249,520 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: 3.66 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 |
|---|---|---|---|---|
| 🏆 |
Ministral 3 (14B)
Mistral AI
|
$0.000061 Best Value | ↓ 98.9% cheaper | ↓ 98.8% cheaper |
| 🥈 |
Mistral Small 3
Mistral AI
|
$0.000070 | ↓ 98.7% cheaper | ↓ 98.7% cheaper |
| 🥉 |
Voxtral Small 24B
Mistral AI
|
$0.000070 | ↓ 98.7% cheaper | ↓ 98.7% cheaper |
| #4 |
Devstral Small 2
Mistral AI
|
$0.000070 | ↓ 98.7% cheaper | ↓ 98.7% cheaper |
| #5 |
Nemotron 3 Super
NVIDIA
|
$0.000195 | ↓ 96.5% cheaper | ↓ 96.3% cheaper |
| #6 |
Devstral 2
Mistral AI
|
$0.000221 | ↓ 96% cheaper | ↓ 95.8% cheaper |
| #7 |
Gemini 3.1 Flash Lite
Google
|
$0.000326 | ↓ 94.1% cheaper | ↓ 93.8% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.000351 | ↓ 93.6% cheaper | ↓ 93.3% cheaper |
| #9 |
Gemini 3.5 Flash-Lite
Google
|
$0.000531 | ↓ 90.4% cheaper | ↓ 89.8% cheaper |
| #10 |
Gemini 2.5 Flash
Google
|
$0.000531 | ↓ 90.4% cheaper | ↓ 89.8% cheaper |
| #11 |
Gemini 3.8 Flash
Google
|
$0.000827 | ↓ 85% cheaper | ↓ 84.1% cheaper |
| #12 |
o4-mini Deep Research
OpenAI
|
$0.000903 | ↓ 83.6% cheaper | ↓ 82.7% cheaper |
| #13 |
GPT-5.4 mini
OpenAI
|
$0.000977 | ↓ 82.3% cheaper | ↓ 81.3% cheaper |
| #14 |
o4-mini
OpenAI
|
$0.000993 | ↓ 82% cheaper | ↓ 80.9% cheaper |
| #15 |
Claude Haiku 4.5
Anthropic
|
$0.001103 | ↓ 80% cheaper | ↓ 78.8% cheaper |
| #16 |
Magistral Medium
Mistral AI
|
$0.001205 | ↓ 78.1% cheaper | ↓ 76.9% cheaper |
| #17 |
Gemini 3.1 Flash
Google
|
$0.001303 | ↓ 76.4% cheaper | ↓ 75% cheaper |
| #18 |
GPT-5.6 Luna
OpenAI
|
$0.001303 | ↓ 76.4% cheaper | ↓ 75% cheaper |
| #19 |
Gemini 3.6 Flash
Google
|
$0.001654 | ↓ 70% cheaper | ↓ 68.3% cheaper |
| #20 |
Gemini 3.5 Flash
Google
|
$0.001954 | ↓ 64.6% cheaper | ↓ 62.5% cheaper |
| #21 |
Grok 4.3
xAI
|
$0.002010 | ↓ 63.5% cheaper | ↓ 61.4% cheaper |
| #22 |
Grok 4.20 Beta
xAI
|
$0.002010 | ↓ 63.5% cheaper | ↓ 61.4% cheaper |
| #23 |
Claude Sonnet 5
Anthropic
|
$0.002205 | ↓ 60% cheaper | ↓ 57.7% cheaper |
| #24 |
GPT-5.3 Codex Spark
OpenAI
|
$0.002979 | ↓ 46% cheaper | ↓ 42.8% cheaper |
| #25 |
GPT-5.3 Instant
OpenAI
|
$0.002979 | ↓ 46% cheaper | ↓ 42.8% cheaper |
| #26 |
GPT-5.6 Terra
OpenAI
|
$0.003256 | ↓ 40.9% cheaper | ↓ 37.5% cheaper |
| #27 |
Claude Sonnet 4.6
Anthropic
|
$0.003308 | ↓ 40% cheaper | ↓ 36.5% cheaper |
| #28 |
Gemini 2.5 Pro
Google
|
$0.004256 | ↓ 22.8% cheaper | ↓ 18.3% cheaper |
| #29 |
Gemini 3.1 Pro
Google
|
$0.005210 (rounded ~ $0.01) | ↓ 5.5% cheaper | Same price |
| #30 |
Claude Opus 5
Anthropic
|
$0.005513 (rounded ~ $0.01) | Same price | ↑ 5.8% more |
| #31 |
Claude Opus 4.8
Anthropic
|
$0.005513 (rounded ~ $0.01) | Same price | ↑ 5.8% more |
| #32 |
Claude Opus 4.6
Anthropic
|
$0.005513 (rounded ~ $0.01) | Same price | ↑ 5.8% more |
| #33 |
GPT-5.4
OpenAI
|
$0.006513 (rounded ~ $0.01) | ↑ 18.1% more | ↑ 25% more |
| #34 |
GPT-5.4 Thinking
OpenAI
|
$0.006513 (rounded ~ $0.01) | ↑ 18.1% more | ↑ 25% more |
| #35 |
GPT-5.5 Instant
OpenAI
|
$0.006513 (rounded ~ $0.01) | ↑ 18.1% more | ↑ 25% more |
| #36 |
GPT-5.6 Sol
OpenAI
|
$0.006513 (rounded ~ $0.01) | ↑ 18.1% more | ↑ 25% more |
| #37 |
o3 Deep Research
OpenAI
|
$0.009025 | ↑ 63.7% more | ↑ 73.2% more |
| #38 |
Claude Fable 5.1
Anthropic
|
$0.011006 (rounded ~ $0.01) | ↑ 99.7% more | ↑ 111.3% more |
| #39 |
Claude Mythos 5.1
Anthropic
|
$0.011006 (rounded ~ $0.01) | ↑ 99.7% more | ↑ 111.3% more |
| #40 |
Claude Fable 5
Anthropic
|
$0.011025 (rounded ~ $0.01) | ↑ 100% more | ↑ 111.6% more |
| #41 |
Claude Mythos 5
Anthropic
|
$0.011025 (rounded ~ $0.01) | ↑ 100% more | ↑ 111.6% more |
| #42 |
GPT-5.5
OpenAI
|
$0.013025 (rounded ~ $0.01) | ↑ 136.3% more | ↑ 150% more |
| #43 |
o3 Pro
OpenAI
|
$0.018050 (rounded ~ $0.02) | ↑ 227.4% more | ↑ 246.4% more |
| #44 |
GPT-6 Astra
OpenAI
|
$0.022050 (rounded ~ $0.02) | ↑ 300% more | ↑ 323.2% more |
| #45 |
GPT-5.2 Pro
OpenAI
|
$0.035753 (rounded ~ $0.04) | ↑ 548.6% more | ↑ 586.2% more |
| #46 |
GPT-5.2 Pro
OpenAI
|
$0.035753 (rounded ~ $0.04) | ↑ 548.6% more | ↑ 586.2% more |
Ministral 3 (14B) Mistral AI
Mistral Small 3 Mistral AI
Voxtral Small 24B Mistral AI
Devstral Small 2 Mistral AI
Nemotron 3 Super NVIDIA
Devstral 2 Mistral AI
Gemini 3.1 Flash Lite Google
Mistral Large 3 Mistral AI
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
o4-mini Deep Research OpenAI
GPT-5.4 mini OpenAI
o4-mini OpenAI
Claude Haiku 4.5 Anthropic
Magistral Medium Mistral AI
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Grok 4.3 xAI
Grok 4.20 Beta xAI
Claude Sonnet 5 Anthropic
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Gemini 2.5 Pro Google
Gemini 3.1 Pro Google
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
GPT-5.6 Sol OpenAI
o3 Deep Research OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
High-End Reasoning for Dynamic Content
For Voice AI engineers building dynamic IVR and voice agent systems, the quality of generated product descriptions is paramount. When your voice agent reads product details to a customer, the generated text must be natural, concise, and accurate. Both Claude Opus 4.7 and Gemini 3.1 Pro operate at the frontier of reasoning, making them ideal for complex, multi-step instructions where you need to synthesize varied attributes into a single, cohesive voice-ready output.
Claude Opus 4.7 excels in agentic workflows and complex instruction following. If your pipeline involves generating descriptions that require strict adherence to brand voice, legal disclaimers, or complex technical specifications, Opus 4.7 provides a level of consistency that reduces the need for downstream QA. Its ability to maintain nuanced instruction sets across thousands of items ensures that your Voice AI maintains its persona.
Gemini 3.1 Pro offers a compelling alternative for pipelines that require deep multimodal integration. If your content generation pipeline includes analyzing product images or technical PDFs before generating the description, Gemini 3.1 Pro’s native multimodality can simplify your architecture. While both models are excellent for high-quality, long-form content, the decision often comes down to your specific orchestration needs. Choose Opus 4.7 when consistency and strict instruction adherence are your primary constraints, or leverage Gemini 3.1 Pro if your descriptions are derived from multimodal sources that require deep semantic understanding of both text and visual assets.