Claude Sonnet 5.5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.080000
Output: $0.080000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 128,000 input tokens and 32,000 output tokens:
- Input Cost: $0.064000 (rounded ~ $0.06)
- Output Cost: $0.080000
- Total Cost: $0.113600 (rounded ~ $0.11)
- Cost per 1K tokens: $0.000710
- Tokens per dollar: 1,408,451 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: 9 minutes, 30.85 seconds
- Latency: 300 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 280 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Claude Sonnet 5.5. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.
Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to Claude Sonnet 5.5| Rank | AI Model & Provider | Total Cost | vs Claude Sonnet 5.5 |
|---|---|---|---|
| 🏆 |
GPT-6 Luna
OpenAI
|
$0.011520 (rounded ~ $0.01) Best Value | ↓ 89.9% cheaper |
| 🥈 |
GPT-5.6 Luna
OpenAI
|
$0.013120 (rounded ~ $0.01) | ↓ 88.5% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.016400 (rounded ~ $0.02) | ↓ 85.6% cheaper |
| #4 |
Mistral Large 3
Mistral AI
|
$0.020800 | ↓ 81.7% cheaper |
| #5 |
Gemini 3.5 Flash-Lite
Google
|
$0.025280 (rounded ~ $0.03) | ↓ 77.7% cheaper |
| #6 |
Gemini 2.5 Flash
Google
|
$0.025280 (rounded ~ $0.03) | ↓ 77.7% cheaper |
| #7 |
Gemini 3.8 Flash
Google
|
$0.043200 (rounded ~ $0.04) | ↓ 62% cheaper |
| #8 |
Gemini 3.6 Flash
Google
|
$0.043200 (rounded ~ $0.04) | ↓ 62% cheaper |
| #9 |
GPT-5.4 mini
OpenAI
|
$0.049200 | ↓ 56.7% cheaper |
| #10 |
Mistral Large 4
Mistral AI
|
$0.057376 (rounded ~ $0.06) | ↓ 49.5% cheaper |
| #11 |
Claude Haiku 5.5
Anthropic
|
$0.057600 (rounded ~ $0.06) | ↓ 49.3% cheaper |
| #12 |
Claude Haiku 4.5
Anthropic
|
$0.057600 (rounded ~ $0.06) | ↓ 49.3% cheaper |
| #13 |
Gemini 3.1 Flash
Google
|
$0.065600 (rounded ~ $0.07) | ↓ 42.3% cheaper |
| #14 |
Claude Sonnet 5
Anthropic
|
$0.115200 (rounded ~ $0.12) | ↑ 1.4% more |
| #15 |
Gemini 4 Argon
Google
|
$0.115200 (rounded ~ $0.12) | ↑ 1.4% more |
| #16 |
GPT-5.6 Terra
OpenAI
|
$0.131200 (rounded ~ $0.13) | ↑ 15.5% more |
| #17 |
Grok 4.3
xAI
|
$0.134400 (rounded ~ $0.13) | ↑ 18.3% more |
| #18 |
Grok 4.20 Beta
xAI
|
$0.134400 (rounded ~ $0.13) | ↑ 18.3% more |
| #19 |
GPT-5.3 Codex Spark
OpenAI
|
$0.142800 (rounded ~ $0.14) | ↑ 25.7% more |
| #20 |
Claude Sonnet 4.6
Anthropic
|
$0.172800 (rounded ~ $0.17) | ↑ 52.1% more |
| #21 |
Gemini 2.5 Pro
Google
|
$0.204000 (rounded ~ $0.20) | ↑ 79.6% more |
| #22 |
Claude Opus 5.5
Anthropic
|
$0.227200 (rounded ~ $0.23) | ↑ 100% more |
| #23 |
GPT-6.1 Sol
OpenAI
|
$0.230400 | ↑ 102.8% more |
| #24 |
GPT-6 Sol
OpenAI
|
$0.230400 | ↑ 102.8% more |
| #25 |
GPT-5.6 Sol
OpenAI
|
$0.230400 | ↑ 102.8% more |
| #26 |
Gemini 3.1 Pro
Google
|
$0.262400 (rounded ~ $0.26) | ↑ 131% more |
| #27 |
Claude Opus 4.7
Anthropic
|
$0.288000 (rounded ~ $0.29) | ↑ 153.5% more |
| #28 |
Claude Opus 5
Anthropic
|
$0.288000 (rounded ~ $0.29) | ↑ 153.5% more |
| #29 |
Claude Opus 4.8
Anthropic
|
$0.288000 (rounded ~ $0.29) | ↑ 153.5% more |
| #30 |
Claude Opus 4.6
Anthropic
|
$0.288000 (rounded ~ $0.29) | ↑ 153.5% more |
| #31 |
GPT-5.4
OpenAI
|
$0.328000 (rounded ~ $0.33) | ↑ 188.7% more |
| #32 |
GPT-5.4 Thinking
OpenAI
|
$0.328000 (rounded ~ $0.33) | ↑ 188.7% more |
| #33 |
GPT-5.5 Instant
OpenAI
|
$0.328000 (rounded ~ $0.33) | ↑ 188.7% more |
| #34 |
Claude Fable 5.1
Anthropic
|
$0.564000 (rounded ~ $0.56) | ↑ 396.5% more |
| #35 |
Claude Mythos 5.1
Anthropic
|
$0.564000 (rounded ~ $0.56) | ↑ 396.5% more |
| #36 |
Claude Fable 5
Anthropic
|
$0.576000 (rounded ~ $0.58) | ↑ 407% more |
| #37 |
Claude Mythos 5
Anthropic
|
$0.576000 (rounded ~ $0.58) | ↑ 407% more |
| #38 |
GPT-5.5
OpenAI
|
$0.656000 (rounded ~ $0.66) | ↑ 477.5% more |
| #39 |
GPT-6 Astra
OpenAI
|
$1.152000 (rounded ~ $1.15) | ↑ 914.1% more |
| #40 |
GPT-6 Astra
OpenAI
|
$1.152000 (rounded ~ $1.15) | ↑ 914.1% more |
GPT-6 Luna OpenAI
GPT-5.6 Luna OpenAI
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
Gemini 3.6 Flash Google
GPT-5.4 mini OpenAI
Mistral Large 4 Mistral AI
Claude Haiku 5.5 Anthropic
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
Claude Sonnet 5 Anthropic
Gemini 4 Argon Google
GPT-5.6 Terra OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-5.3 Codex Spark OpenAI
Claude Sonnet 4.6 Anthropic
Gemini 2.5 Pro Google
Claude Opus 5.5 Anthropic
GPT-6.1 Sol OpenAI
GPT-6 Sol OpenAI
GPT-5.6 Sol OpenAI
Gemini 3.1 Pro Google
Claude Opus 4.7 Anthropic
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
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
Video script production at enterprise scale requires a delicate balance of creative nuance, structural consistency, and factual accuracy. For content teams scaling to four long-form scripts per week, selecting a model that maintains a consistent brand voice across diverse topics is critical. Claude Sonnet 5.5 offers a sophisticated approach to narrative flow, making it particularly well-suited for high-quality video content where tone control is paramount. Unlike models optimized purely for speed, Sonnet 5.5 excels at understanding complex, multi-layered instructions. This capability is essential for scriptwriting, where you must balance entertainment value with specific SEO requirements, call-to-action placement, and informational density. Its architecture allows for deep content reasoning, ensuring that your scripts do not just output text, but actively contribute to viewer retention by maintaining logical progression throughout long-form segments. For platform leads and content managers, the integration of search-enabled reasoning is a significant differentiator. It allows the model to fact-check script claims against real-time data, reducing the manual editing burden for your production team. While other models in the ecosystem may offer lower per-token rates, the reduction in human oversight and revision cycles often translates to a lower total cost of ownership for high-fidelity content pipelines. When your production workflow involves thousands of tokens per week, investing in a model that minimizes hallucination and maximizes structural coherence is a strategic choice that supports long-term audience growth and brand authority.