Claude Sonnet 5.5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.037500 (rounded ~ $0.04)
Output: $0.037500 (rounded ~ $0.04)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 15,000 output tokens:
- Input Cost: $0.025000 (rounded ~ $0.03)
- Output Cost: $0.037500 (rounded ~ $0.04)
- Total Cost: $0.050625
- Cost per 1K tokens: $0.000779
- Tokens per dollar: 1,283,951 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: 3 minutes, 52.01 seconds
- Latency: 300 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 280 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.075000 (rounded ~ $0.08)
Output: $0.075000 (rounded ~ $0.08)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 15,000 output tokens:
- Input Cost: $0.050000
- Output Cost: $0.075000 (rounded ~ $0.08)
- Total Cost: $0.102500 (rounded ~ $0.10)
- Cost per 1K tokens: $0.001577
- Tokens per dollar: 634,146 tokens
- Context Window: 1050000 tokens
Speed & Performance Analysis
With a processing speed of 131 tokens per second and 340ms time to first token:
- Processing Time: 8 minutes, 51.10 seconds
- Latency: 340 milliseconds to first token
- Base Throughput: 131 tokens/second
- Effective Throughput: 122 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for GPT-6 Sol. 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 Sonnet 5.5| Rank | AI Model & Provider | Total Cost | vs Claude Sonnet 5.5 | vs GPT-6 Sol |
|---|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.005125 (rounded ~ $0.01) Best Value | ↓ 89.9% cheaper | ↓ 95% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.005125 (rounded ~ $0.01) | ↓ 89.9% cheaper | ↓ 95% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.005875 (rounded ~ $0.01) | ↓ 88.4% cheaper | ↓ 94.3% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.007344 (rounded ~ $0.01) | ↓ 85.5% cheaper | ↓ 92.8% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.009063 | ↓ 82.1% cheaper | ↓ 91.2% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.011438 (rounded ~ $0.01) | ↓ 77.4% cheaper | ↓ 88.8% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.011438 (rounded ~ $0.01) | ↓ 77.4% cheaper | ↓ 88.8% cheaper |
| #8 |
Gemini 3.8 Flash
Google
|
$0.019219 | ↓ 62% cheaper | ↓ 81.3% cheaper |
| #9 |
Gemini 3.6 Flash
Google
|
$0.019219 | ↓ 62% cheaper | ↓ 81.3% cheaper |
| #10 |
GPT-5.4 mini
OpenAI
|
$0.022031 (rounded ~ $0.02) | ↓ 56.5% cheaper | ↓ 78.5% cheaper |
| #11 |
Mistral Large 4
Mistral AI
|
$0.025025 (rounded ~ $0.03) | ↓ 50.6% cheaper | ↓ 75.6% cheaper |
| #12 |
Claude Haiku 4.5
Anthropic
|
$0.025625 (rounded ~ $0.03) | ↓ 49.4% cheaper | ↓ 75% cheaper |
| #13 |
Gemini 3.1 Flash
Google
|
$0.029375 | ↓ 42% cheaper | ↓ 71.3% cheaper |
| #14 |
Gemini 4 Argon
Google
|
$0.051250 (rounded ~ $0.05) | ↑ 1.2% more | ↓ 50% cheaper |
| #15 |
Claude Sonnet 5
Anthropic
|
$0.051250 (rounded ~ $0.05) | ↑ 1.2% more | ↓ 50% cheaper |
| #16 |
Grok 4.3
xAI
|
$0.057500 (rounded ~ $0.06) | ↑ 13.6% more | ↓ 43.9% cheaper |
| #17 |
Grok 4.20 Beta
xAI
|
$0.057500 (rounded ~ $0.06) | ↑ 13.6% more | ↓ 43.9% cheaper |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.058750 (rounded ~ $0.06) | ↑ 16% more | ↓ 42.7% cheaper |
| #19 |
GPT-5.3 Codex Spark
OpenAI
|
$0.064531 (rounded ~ $0.06) | ↑ 27.5% more | ↓ 37% cheaper |
| #20 |
GPT-5.3 Instant
OpenAI
|
$0.064531 (rounded ~ $0.06) | ↑ 27.5% more | ↓ 37% cheaper |
| #21 |
Claude Sonnet 4.6
Anthropic
|
$0.076875 (rounded ~ $0.08) | ↑ 51.9% more | ↓ 25% cheaper |
| #22 |
Gemini 2.5 Pro
Google
|
$0.092188 (rounded ~ $0.09) | ↑ 82.1% more | ↓ 10.1% cheaper |
| #23 |
Claude Opus 5.5
Anthropic
|
$0.101250 (rounded ~ $0.10) | ↑ 100% more | ↓ 1.2% cheaper |
| #24 |
GPT-6.1 Sol
OpenAI
|
$0.102500 (rounded ~ $0.10) | ↑ 102.5% more | Same price |
| #25 |
GPT-6 Sol
OpenAI
|
$0.102500 (rounded ~ $0.10) | ↑ 102.5% more | Same price |
| #26 |
GPT-5.6 Sol
OpenAI
|
$0.102500 (rounded ~ $0.10) | ↑ 102.5% more | Same price |
| #27 |
Gemini 3.1 Pro
Google
|
$0.117500 (rounded ~ $0.12) | ↑ 132.1% more | ↑ 14.6% more |
| #28 |
Claude Opus 4.7
Anthropic
|
$0.128125 (rounded ~ $0.13) | ↑ 153.1% more | ↑ 25% more |
| #29 |
Claude Opus 5
Anthropic
|
$0.128125 (rounded ~ $0.13) | ↑ 153.1% more | ↑ 25% more |
| #30 |
Claude Opus 4.8
Anthropic
|
$0.128125 (rounded ~ $0.13) | ↑ 153.1% more | ↑ 25% more |
| #31 |
Claude Opus 4.6
Anthropic
|
$0.128125 (rounded ~ $0.13) | ↑ 153.1% more | ↑ 25% more |
| #32 |
GPT-5.4
OpenAI
|
$0.146875 (rounded ~ $0.15) | ↑ 190.1% more | ↑ 43.3% more |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$0.146875 (rounded ~ $0.15) | ↑ 190.1% more | ↑ 43.3% more |
| #34 |
GPT-5.5 Instant
OpenAI
|
$0.146875 (rounded ~ $0.15) | ↑ 190.1% more | ↑ 43.3% more |
| #35 |
Claude Fable 5.1
Anthropic
|
$0.251563 (rounded ~ $0.25) | ↑ 396.9% more | ↑ 145.4% more |
| #36 |
Claude Mythos 5.1
Anthropic
|
$0.251563 (rounded ~ $0.25) | ↑ 396.9% more | ↑ 145.4% more |
| #37 |
Claude Fable 5
Anthropic
|
$0.256250 (rounded ~ $0.26) | ↑ 406.2% more | ↑ 150% more |
| #38 |
Claude Mythos 5
Anthropic
|
$0.256250 (rounded ~ $0.26) | ↑ 406.2% more | ↑ 150% more |
| #39 |
GPT-5.5
OpenAI
|
$0.293750 (rounded ~ $0.29) | ↑ 480.2% more | ↑ 186.6% more |
| #40 |
GPT-6 Astra
OpenAI
|
$0.512500 (rounded ~ $0.51) | ↑ 912.3% more | ↑ 400% more |
| #41 |
GPT-5.2 Pro
OpenAI
|
$0.774375 (rounded ~ $0.77) | ↑ 1429.6% more | ↑ 655.5% more |
| #42 |
GPT-5.2 Pro
OpenAI
|
$0.774375 (rounded ~ $0.77) | ↑ 1429.6% more | ↑ 655.5% more |
Claude Haiku 5.5 Anthropic
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 4.5 Anthropic
Gemini 3.1 Flash Google
Gemini 4 Argon Google
Claude Sonnet 5 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-5.6 Terra OpenAI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant 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-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Scientific literature review and drafting require a delicate balance of deep reasoning, precise synthesis, and the ability to maintain factual accuracy across long-context documents. For research teams, the choice between Claude Sonnet 5.5 and GPT-6 Sol often comes down to the specific nature of the workflow.
Claude Sonnet 5.5 is highly regarded for its writing nuance and clarity. When drafting technical papers, it excels at maintaining a consistent, scholarly tone and structuring complex arguments in a way that is ready for peer review. It performs exceptionally well when tasked with synthesizing findings from multiple papers into a cohesive narrative, making it a strong partner for the drafting phase of a research project.
GPT-6 Sol, by contrast, brings a more analytical edge to the research process. It is particularly effective at identifying subtle connections between disparate datasets or theoretical frameworks, which is crucial during the literature review stage. If your workflow involves deep, multi-step chain-of-thought processing to extract insights from raw research notes or complex experimental summaries, this model often provides the analytical rigor needed to ensure your underlying argument is robust.
Ultimately, both models handle the 50K-token scale with ease. If your primary goal is prose quality and structural coherence, Claude Sonnet 5.5 is often the preferred choice. For intensive, logic-heavy review and hypothesis generation, GPT-6 Sol stands out. Evaluating both against your specific document corpus can help determine which model better aligns with your team’s research speed and output requirements.