Claude Sonnet 5.5 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
Detailed Cost Analysis (from Plugin)
For 10,000 input tokens and 500 output tokens:
- Input Cost: $0.020000
- Output Cost: $0.005000 (rounded ~ $0.01)
- Total Cost: $0.015500 (rounded ~ $0.02)
- Cost per 1K tokens: $0.001476
- Tokens per dollar: 677,419 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: 35.88 seconds
- Latency: 300 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 294 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to Claude Sonnet 5.5| Rank | AI Model & Provider | Total Cost | vs Claude Sonnet 5.5 |
|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.000800 Best Value | ↓ 94.8% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.000800 | ↓ 94.8% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.001700 | ↓ 89% cheaper |
| #4 |
Grok Code Fast 1
xAI
|
$0.001850 | ↓ 88.1% cheaper |
| #5 |
Gemini 3.1 Flash Lite
Google
|
$0.002125 | ↓ 86.3% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.002900 | ↓ 81.3% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.002900 | ↓ 81.3% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.003500 | ↓ 77.4% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.004250 | ↓ 72.6% cheaper |
| #10 |
Gemini 3.8 Flash
Google
|
$0.006000 (rounded ~ $0.01) | ↓ 61.3% cheaper |
| #11 |
Gemini 3.6 Flash
Google
|
$0.006000 (rounded ~ $0.01) | ↓ 61.3% cheaper |
| #12 |
GPT-5.4 mini
OpenAI
|
$0.006375 (rounded ~ $0.01) | ↓ 58.9% cheaper |
| #13 |
Grok Build 0.1
xAI
|
$0.006500 (rounded ~ $0.01) | ↓ 58.1% cheaper |
| #14 |
Claude Haiku 4.5
Anthropic
|
$0.008000 (rounded ~ $0.01) | ↓ 48.4% cheaper |
| #15 |
Grok 4.3
xAI
|
$0.008125 (rounded ~ $0.01) | ↓ 47.6% cheaper |
| #16 |
Grok 4.20 Beta
xAI
|
$0.008125 (rounded ~ $0.01) | ↓ 47.6% cheaper |
| #17 |
Mistral Large 4
Mistral AI
|
$0.009570 | ↓ 38.3% cheaper |
| #18 |
Gemini 2.5 Pro
Google
|
$0.011875 (rounded ~ $0.01) | ↓ 23.4% cheaper |
| #19 |
Grok 4.7
xAI
|
$0.014000 (rounded ~ $0.01) | ↓ 9.7% cheaper |
| #20 |
Grok 4.6
xAI
|
$0.014000 (rounded ~ $0.01) | ↓ 9.7% cheaper |
| #21 |
Grok 4.5
xAI
|
$0.014000 (rounded ~ $0.01) | ↓ 9.7% cheaper |
| #22 |
Claude Sonnet 5
Anthropic
|
$0.016000 (rounded ~ $0.02) | ↑ 3.2% more |
| #23 |
Gemini 4 Argon
Google
|
$0.016000 (rounded ~ $0.02) | ↑ 3.2% more |
| #24 |
GPT-6.1 Sol
OpenAI
|
$0.016000 (rounded ~ $0.02) | ↑ 3.2% more |
| #25 |
GPT-6 Sol
OpenAI
|
$0.016000 (rounded ~ $0.02) | ↑ 3.2% more |
| #26 |
GPT-5.3 Codex Spark
OpenAI
|
$0.016625 (rounded ~ $0.02) | ↑ 7.3% more |
| #27 |
GPT-5.3 Instant
OpenAI
|
$0.016625 (rounded ~ $0.02) | ↑ 7.3% more |
| #28 |
Kimi K3.1 Pro
Moonshot AI
|
$0.016700 (rounded ~ $0.02) | ↑ 7.7% more |
| #29 |
Gemini 3.1 Pro
Google
|
$0.017000 (rounded ~ $0.02) | ↑ 9.7% more |
| #30 |
GPT-5.6 Terra
OpenAI
|
$0.017000 (rounded ~ $0.02) | ↑ 9.7% more |
| #31 |
GPT-5.4
OpenAI
|
$0.021250 (rounded ~ $0.02) | ↑ 37.1% more |
| #32 |
GPT-5.4 Thinking
OpenAI
|
$0.021250 (rounded ~ $0.02) | ↑ 37.1% more |
| #33 |
Claude Sonnet 4.6
Anthropic
|
$0.024000 (rounded ~ $0.02) | ↑ 54.8% more |
| #34 |
Kimi K3
Moonshot AI
|
$0.025050 (rounded ~ $0.03) | ↑ 61.6% more |
| #35 |
Claude Opus 5.5
Anthropic
|
$0.031000 (rounded ~ $0.03) | ↑ 100% more |
| #36 |
GPT-5.6 Sol
OpenAI
|
$0.032000 (rounded ~ $0.03) | ↑ 106.5% more |
| #37 |
Claude Opus 4.7
Anthropic
|
$0.040000 | ↑ 158.1% more |
| #38 |
Claude Opus 5
Anthropic
|
$0.040000 | ↑ 158.1% more |
| #39 |
Claude Opus 4.8
Anthropic
|
$0.040000 | ↑ 158.1% more |
| #40 |
Claude Opus 4.6
Anthropic
|
$0.040000 | ↑ 158.1% more |
| #41 |
GPT-5.5
OpenAI
|
$0.042500 (rounded ~ $0.04) | ↑ 174.2% more |
| #42 |
GPT-5.5 Instant
OpenAI
|
$0.042500 (rounded ~ $0.04) | ↑ 174.2% more |
| #43 |
Muse Wonder 1.0
Meta AI
|
$0.050000 | ↑ 222.6% more |
| #44 |
Claude Fable 5.1
Anthropic
|
$0.076250 (rounded ~ $0.08) | ↑ 391.9% more |
| #45 |
Claude Mythos 5.1
Anthropic
|
$0.076250 (rounded ~ $0.08) | ↑ 391.9% more |
| #46 |
GPT-6 Astra
OpenAI
|
$0.080000 | ↑ 416.1% more |
| #47 |
Claude Fable 5
Anthropic
|
$0.080000 | ↑ 416.1% more |
| #48 |
Claude Mythos 5
Anthropic
|
$0.080000 | ↑ 416.1% more |
| #49 |
GPT-5.2 Pro
OpenAI
|
$0.199500 | ↑ 1187.1% more |
| #50 |
GPT-5.2 Pro
OpenAI
|
$0.199500 | ↑ 1187.1% more |
Claude Haiku 5.5 Anthropic
GPT-6 Luna OpenAI
GPT-5.6 Luna OpenAI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.1 Flash Google
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
GPT-5.4 mini OpenAI
Grok Build 0.1 xAI
Claude Haiku 4.5 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
Mistral Large 4 Mistral AI
Gemini 2.5 Pro Google
Grok 4.7 xAI
Grok 4.6 xAI
Grok 4.5 xAI
Claude Sonnet 5 Anthropic
Gemini 4 Argon Google
GPT-6.1 Sol OpenAI
GPT-6 Sol OpenAI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Kimi K3.1 Pro Moonshot AI
Gemini 3.1 Pro Google
GPT-5.6 Terra OpenAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Sonnet 4.6 Anthropic
Kimi K3 Moonshot AI
Claude Opus 5.5 Anthropic
GPT-5.6 Sol OpenAI
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 OpenAI
GPT-5.5 Instant OpenAI
Muse Wonder 1.0 Meta AI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
GPT-6 Astra OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Claude Sonnet 5.5 represents a significant step forward for developers requiring high-fidelity inline code suggestions within an IDE environment. Its architectural design emphasizes logical consistency and the ability to maintain complex state across multi-file codebases, making it highly effective for autocompletion tasks where understanding the surrounding project structure is essential. For academic researchers and indie developers managing smaller projects, the model offers a balance between deep reasoning capabilities and the rapid response times necessary for a fluid coding experience. Unlike general-purpose models that may struggle with the syntactic nuances of evolving programming paradigms, this iteration has been refined to grasp project-wide context, reducing the likelihood of hallucinations in function signatures or API calls. The model excels when tasked with generating boilerplate-heavy code or refactoring legacy modules into modern implementations. While some larger models may offer broader world knowledge, the specific optimization here favors precision in syntax, allowing for more reliable code generation during iterative development cycles. Developers integrating this model into their IDE workflow should prioritize environments where latency sensitivity is managed by efficient caching mechanisms. Its capacity to digest substantial context without losing sight of local scope makes it a robust choice for prototyping and maintaining research-grade software tools, ensuring that the suggestion engine remains relevant to the immediate task at hand.