Claude Opus 5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.012500 (rounded ~ $0.01)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 20,000 input tokens and 500 output tokens:
- Input Cost: $0.100000
- Output Cost: $0.012500 (rounded ~ $0.01)
- Total Cost: $0.094500 (rounded ~ $0.09)
- Cost per 1K tokens: $0.004610
- Tokens per dollar: 216,931 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: 1 minute, 13.30 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 Opus 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 →Gemini 3.6 Flash Google 1048576
💰 Total Cost Calculation (from Plugin)
Output: $0.003750
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 20,000 input tokens and 500 output tokens:
- Input Cost: $0.030000
- Output Cost: $0.003750
- Total Cost: $0.028350 (rounded ~ $0.03)
- Cost per 1K tokens: $0.001383
- Tokens per dollar: 723,104 tokens
- Context Window: 1048576 tokens
Speed & Performance Analysis
With a processing speed of 304 tokens per second and 120ms time to first token:
- Processing Time: 1 minute, 12.33 seconds
- Latency: 120 milliseconds to first token
- Base Throughput: 304 tokens/second
- Effective Throughput: 284 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Gemini 3.6 Flash. 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 Opus 5| Rank | AI Model & Provider | Total Cost | vs Claude Opus 5 | vs Gemini 3.6 Flash |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001790 Best Value | ↓ 98.1% cheaper | ↓ 93.7% cheaper |
| 🥈 |
Grok Code Fast 1
xAI
|
$0.004030 | ↓ 95.7% cheaper | ↓ 85.8% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.004850 | ↓ 94.9% cheaper | ↓ 82.9% cheaper |
| #4 |
Gemini 3.5 Flash-Lite
Google
|
$0.006170 (rounded ~ $0.01) | ↓ 93.5% cheaper | ↓ 78.2% cheaper |
| #5 |
Gemini 2.5 Flash
Google
|
$0.006170 (rounded ~ $0.01) | ↓ 93.5% cheaper | ↓ 78.2% cheaper |
| #6 |
Mistral Large 3
Mistral AI
|
$0.008950 (rounded ~ $0.01) | ↓ 90.5% cheaper | ↓ 68.4% cheaper |
| #7 |
Gemini 3.1 Flash
Google
|
$0.009700 | ↓ 89.7% cheaper | ↓ 65.8% cheaper |
| #8 |
Kimi K2.5
Moonshot AI
|
$0.011508 (rounded ~ $0.01) | ↓ 87.8% cheaper | ↓ 59.4% cheaper |
| #9 |
Gemini 3.8 Flash
Google
|
$0.014175 (rounded ~ $0.01) | ↓ 85% cheaper | ↓ 50% cheaper |
| #10 |
GPT-5.4 mini
OpenAI
|
$0.014550 (rounded ~ $0.01) | ↓ 84.6% cheaper | ↓ 48.7% cheaper |
| #11 |
Grok Build 0.1
xAI
|
$0.017400 (rounded ~ $0.02) | ↓ 81.6% cheaper | ↓ 38.6% cheaper |
| #12 |
Kimi K2.6
Moonshot AI
|
$0.017846 (rounded ~ $0.02) | ↓ 81.1% cheaper | ↓ 37.1% cheaper |
| #13 |
Kimi K2.7 Code
Moonshot AI
|
$0.017846 (rounded ~ $0.02) | ↓ 81.1% cheaper | ↓ 37.1% cheaper |
| #14 |
o4-mini Deep Research
OpenAI
|
$0.018400 (rounded ~ $0.02) | ↓ 80.5% cheaper | ↓ 35.1% cheaper |
| #15 |
Claude Haiku 4.5
Anthropic
|
$0.018900 (rounded ~ $0.02) | ↓ 80% cheaper | ↓ 33.3% cheaper |
| #16 |
GPT-5.6 Luna
OpenAI
|
$0.019400 | ↓ 79.5% cheaper | ↓ 31.6% cheaper |
| #17 |
o4-mini
OpenAI
|
$0.020240 | ↓ 78.6% cheaper | ↓ 28.6% cheaper |
| #18 |
Grok 4.3
xAI
|
$0.021750 (rounded ~ $0.02) | ↓ 77% cheaper | ↓ 23.3% cheaper |
| #19 |
Grok 4.20 Beta
xAI
|
$0.021750 (rounded ~ $0.02) | ↓ 77% cheaper | ↓ 23.3% cheaper |
| #20 |
Gemini 2.5 Pro
Google
|
$0.025500 (rounded ~ $0.03) | ↓ 73% cheaper | ↓ 10.1% cheaper |
| #21 |
Gemini 3.6 Flash
Google
|
$0.028350 (rounded ~ $0.03) | ↓ 70% cheaper | Same price |
| #22 |
Gemini 3.5 Flash
Google
|
$0.029100 | ↓ 69.2% cheaper | ↑ 2.6% more |
| #23 |
GPT-5.3 Codex Spark
OpenAI
|
$0.035700 (rounded ~ $0.04) | ↓ 62.2% cheaper | ↑ 25.9% more |
| #24 |
GPT-5.3 Instant
OpenAI
|
$0.035700 (rounded ~ $0.04) | ↓ 62.2% cheaper | ↑ 25.9% more |
| #25 |
Grok 4.6
xAI
|
$0.035800 (rounded ~ $0.04) | ↓ 62.1% cheaper | ↑ 26.3% more |
| #26 |
Grok 4.5
xAI
|
$0.035800 (rounded ~ $0.04) | ↓ 62.1% cheaper | ↑ 26.3% more |
| #27 |
Claude Sonnet 5
Anthropic
|
$0.037800 (rounded ~ $0.04) | ↓ 60% cheaper | ↑ 33.3% more |
| #28 |
Gemini 3.1 Pro
Google
|
$0.038800 (rounded ~ $0.04) | ↓ 58.9% cheaper | ↑ 36.9% more |
| #29 |
GPT-5.4
OpenAI
|
$0.048500 (rounded ~ $0.05) | ↓ 48.7% cheaper | ↑ 71.1% more |
| #30 |
GPT-5.4 Thinking
OpenAI
|
$0.048500 (rounded ~ $0.05) | ↓ 48.7% cheaper | ↑ 71.1% more |
| #31 |
GPT-5.6 Terra
OpenAI
|
$0.048500 (rounded ~ $0.05) | ↓ 48.7% cheaper | ↑ 71.1% more |
| #32 |
Claude Sonnet 4.6
Anthropic
|
$0.056700 (rounded ~ $0.06) | ↓ 40% cheaper | ↑ 100% more |
| #33 |
Claude Opus 4.7
Anthropic
|
$0.094500 (rounded ~ $0.09) | Same price | ↑ 233.3% more |
| #34 |
Claude Opus 4.8
Anthropic
|
$0.094500 (rounded ~ $0.09) | Same price | ↑ 233.3% more |
| #35 |
Claude Opus 4.6
Anthropic
|
$0.094500 (rounded ~ $0.09) | Same price | ↑ 233.3% more |
| #36 |
GPT-5.5
OpenAI
|
$0.097000 (rounded ~ $0.10) | ↑ 2.6% more | ↑ 242.2% more |
| #37 |
GPT-5.5 Instant
OpenAI
|
$0.097000 (rounded ~ $0.10) | ↑ 2.6% more | ↑ 242.2% more |
| #38 |
GPT-5.6 Sol
OpenAI
|
$0.097000 (rounded ~ $0.10) | ↑ 2.6% more | ↑ 242.2% more |
| #39 |
o3 Deep Research
OpenAI
|
$0.184000 (rounded ~ $0.18) | ↑ 94.7% more | ↑ 549% more |
| #40 |
Claude Fable 5.1
Anthropic
|
$0.186000 (rounded ~ $0.19) | ↑ 96.8% more | ↑ 556.1% more |
| #41 |
Claude Mythos 5.1
Anthropic
|
$0.186000 (rounded ~ $0.19) | ↑ 96.8% more | ↑ 556.1% more |
| #42 |
Claude Fable 5
Anthropic
|
$0.189000 | ↑ 100% more | ↑ 566.7% more |
| #43 |
Claude Mythos 5
Anthropic
|
$0.189000 | ↑ 100% more | ↑ 566.7% more |
| #44 |
GPT-6 Astra
OpenAI
|
$0.189000 | ↑ 100% more | ↑ 566.7% more |
| #45 |
o3 Pro
OpenAI
|
$0.368000 (rounded ~ $0.37) | ↑ 289.4% more | ↑ 1198.1% more |
| #46 |
GPT-5.2 Pro
OpenAI
|
$0.428400 (rounded ~ $0.43) | ↑ 353.3% more | ↑ 1411.1% more |
| #47 |
GPT-5.2 Pro
OpenAI
|
$0.428400 (rounded ~ $0.43) | ↑ 353.3% more | ↑ 1411.1% more |
Mistral Small 3 Mistral AI
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
Kimi K2.5 Moonshot AI
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
Grok Build 0.1 xAI
Kimi K2.6 Moonshot AI
Kimi K2.7 Code Moonshot AI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 2.5 Pro Google
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Grok 4.6 xAI
Grok 4.5 xAI
Claude Sonnet 5 Anthropic
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 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-6 Astra OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Optimizing Real-Time Interaction Costs
For high-frequency educational tutoring, the balance between model intelligence and inference cost is the primary driver of project sustainability. When managing sessions that require 20,000 tokens of context per interaction, choosing the right model architecture is critical for maintaining performance without inflating operational budgets.
Claude Opus 5 is a compelling choice when tutoring sessions demand high-level reasoning, nuanced explanations, and complex instructional consistency. Its ability to navigate detailed curricula and maintain coherent, long-form logic makes it ideal for advanced subjects where accuracy is non-negotiable. Its architecture is optimized for tasks where the model’s ‘effort’ can be tuned, allowing teams to balance intelligence against throughput requirements.
Conversely, Gemini 3.6 Flash is engineered for efficiency and speed, making it an excellent candidate for interactive sessions where latency is the bottleneck. In tutoring scenarios involving rapid back-and-forth dialogue or high-volume student throughput, its architecture delivers significant performance gains. Gemini 3.6 Flash is particularly effective when the pipeline must handle multimodal inputs—such as image-based problem sets or PDF-based diagrams—integrated directly into the tutoring flow.
Deciding between these models often comes down to the specific needs of the session. If the tutoring interface requires a ‘deep-thinking’ pedagogical partner that can handle multi-step reasoning autonomously, Claude Opus 5 is the preferred backend. If the primary requirement is a highly responsive, low-latency interface capable of scaling across thousands of simultaneous sessions while maintaining strong performance on mixed-media materials, Gemini 3.6 Flash provides a more streamlined infrastructure.