Claude Sonnet 4.6 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.007500 (rounded ~ $0.01)
Output: $0.007500 (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: $0.030000
- Output Cost: $0.007500 (rounded ~ $0.01)
- Total Cost: $0.029400
- Cost per 1K tokens: $0.002800
- Tokens per dollar: 357,143 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 450 tokens per second and 200ms time to first token:
- Processing Time: 23.98 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 450 tokens/second
- Effective Throughput: 441 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for Claude Sonnet 4.6. 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: $0.007000 (rounded ~ $0.01)
Output: $0.007000 (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: $0.017500 (rounded ~ $0.02)
- Output Cost: $0.007000 (rounded ~ $0.01)
- Total Cost: $0.019775
- Cost per 1K tokens: $0.001883
- Tokens per dollar: 530,973 tokens
- Context Window: 200000 tokens
Speed & Performance Analysis
With a processing speed of 1,000 tokens per second and 100ms time to first token:
- Processing Time: 10.89 seconds
- Latency: 100 milliseconds to first token
- Base Throughput: 1,000 tokens/second
- Effective Throughput: 980 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for GPT-5.3 Codex Spark. 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 4.6| Rank | AI Model & Provider | Total Cost | vs Claude Sonnet 4.6 | vs GPT-5.3 Codex Spark |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000880 Best Value | ↓ 97% cheaper | ↓ 95.5% cheaper |
| 🥈 |
Grok Code Fast 1
xAI
|
$0.002210 | ↓ 92.5% cheaper | ↓ 88.8% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.002575 | ↓ 91.2% cheaper | ↓ 87% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.003440 | ↓ 88.3% cheaper | ↓ 82.6% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.004400 | ↓ 85% cheaper | ↓ 77.7% cheaper |
| #6 |
Gemini 3.1 Flash
Google
|
$0.005150 (rounded ~ $0.01) | ↓ 82.5% cheaper | ↓ 74% cheaper |
| #7 |
Kimi K2.5
Moonshot AI
|
$0.006006 (rounded ~ $0.01) | ↓ 79.6% cheaper | ↓ 69.6% cheaper |
| #8 |
GPT-5.4 mini
OpenAI
|
$0.007725 (rounded ~ $0.01) | ↓ 73.7% cheaper | ↓ 60.9% cheaper |
| #9 |
Kimi K2.6
Moonshot AI
|
$0.009135 | ↓ 68.9% cheaper | ↓ 53.8% cheaper |
| #10 |
o4-mini Deep Research
OpenAI
|
$0.009300 | ↓ 68.4% cheaper | ↓ 53% cheaper |
| #11 |
Claude Haiku 4.5
Anthropic
|
$0.009800 | ↓ 66.7% cheaper | ↓ 50.4% cheaper |
| #12 |
o4-mini
OpenAI
|
$0.010230 | ↓ 65.2% cheaper | ↓ 48.3% cheaper |
| #13 |
Grok 4.3
xAI
|
$0.010375 | ↓ 64.7% cheaper | ↓ 47.5% cheaper |
| #14 |
Gemini 2.5 Pro
Google
|
$0.014125 (rounded ~ $0.01) | ↓ 52% cheaper | ↓ 28.6% cheaper |
| #15 |
Gemini 3.5 Flash
Google
|
$0.015450 (rounded ~ $0.02) | ↓ 47.4% cheaper | ↓ 21.9% cheaper |
| #16 |
Grok 4.20 Beta
xAI
|
$0.017600 (rounded ~ $0.02) | ↓ 40.1% cheaper | ↓ 11% cheaper |
| #17 |
GPT-5.3 Codex Spark
OpenAI
|
$0.019775 | ↓ 32.7% cheaper | Same price |
| #18 |
GPT-5.3 Instant
OpenAI
|
$0.019775 | ↓ 32.7% cheaper | Same price |
| #19 |
Gemini 3.1 Pro
Google
|
$0.020600 | ↓ 29.9% cheaper | ↑ 4.2% more |
| #20 |
GPT-5.4
OpenAI
|
$0.025750 (rounded ~ $0.03) | ↓ 12.4% cheaper | ↑ 30.2% more |
| #21 |
GPT-5.4 Thinking
OpenAI
|
$0.025750 (rounded ~ $0.03) | ↓ 12.4% cheaper | ↑ 30.2% more |
| #22 |
Claude Opus 4.7
Anthropic
|
$0.049000 (rounded ~ $0.05) | ↑ 66.7% more | ↑ 147.8% more |
| #23 |
Claude Opus 4.8
Anthropic
|
$0.049000 (rounded ~ $0.05) | ↑ 66.7% more | ↑ 147.8% more |
| #24 |
Claude Opus 4.6
Anthropic
|
$0.049000 (rounded ~ $0.05) | ↑ 66.7% more | ↑ 147.8% more |
| #25 |
GPT-5.5
OpenAI
|
$0.051500 (rounded ~ $0.05) | ↑ 75.2% more | ↑ 160.4% more |
| #26 |
GPT-5.5 Instant
OpenAI
|
$0.051500 (rounded ~ $0.05) | ↑ 75.2% more | ↑ 160.4% more |
| #27 |
o3 Deep Research
OpenAI
|
$0.093000 (rounded ~ $0.09) | ↑ 216.3% more | ↑ 370.3% more |
| #28 |
o3 Pro
OpenAI
|
$0.186000 (rounded ~ $0.19) | ↑ 532.7% more | ↑ 840.6% more |
| #29 |
GPT-5.2 Pro
OpenAI
|
$0.237300 (rounded ~ $0.24) | ↑ 707.1% more | ↑ 1100% more |
| #30 |
GPT-5.2 Pro
OpenAI
|
$0.237300 (rounded ~ $0.24) | ↑ 707.1% more | ↑ 1100% more |
Mistral Small 3 Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.1 Flash Google
Kimi K2.5 Moonshot AI
GPT-5.4 mini OpenAI
Kimi K2.6 Moonshot AI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
o4-mini OpenAI
Grok 4.3 xAI
Gemini 2.5 Pro Google
Gemini 3.5 Flash Google
Grok 4.20 Beta xAI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 OpenAI
GPT-5.5 Instant OpenAI
o3 Deep Research OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Optimizing IDE Performance for E-commerce Development
For e-commerce platform owners, integrating AI-driven inline code suggestions is no longer a luxury but a requirement for maintaining complex, multilingual product catalogs and backend logic. When evaluating 10,000-token context windows for each suggestion, the choice between flagship models hinges on how they handle surrounding file metadata and specific framework syntax. This comparison focuses on the qualitative trade-offs between two industry leaders in the software development domain.
Claude Sonnet 4.6 is frequently lauded for its exceptional ability to maintain architectural consistency across large snippets. In an IDE setting, this translates to suggestions that are contextually aware of the broader project structure rather than just the immediate line of code. Its strength lies in understanding developer intent across complex multi-file dependencies, which significantly reduces the need for manual refactoring. However, the depth of its reasoning can sometimes introduce higher latency compared to highly specialized coding variants.
GPT-5.3 Codex Spark represents a refined approach to real-time developer assistance, optimized specifically for the autocomplete experience. It excels in scenarios where speed and fluidity are the primary metrics. By prioritizing lower time-to-first-token, it provides a more seamless experience for engineers working on high-speed UI iterations or routine data transformations. While it may occasionally lack the structural foresight found in the Claude family, its responsiveness makes it a favorite for teams focused on rapid prototyping. Selecting the right model depends on whether your engineering team prioritizes the intellectual depth of suggestions or the immediate flow of the human-in-the-loop experience.