GPT-5.5 OpenAI 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.015000 (rounded ~ $0.02)
Output: $0.015000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 1,000 output tokens:
- Input Cost: $0.125000 (rounded ~ $0.13)
- Output Cost: $0.015000 (rounded ~ $0.02)
- Total Cost: $0.072500 (rounded ~ $0.07)
- Cost per 1K tokens: $0.001422
- Tokens per dollar: 703,448 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 420 tokens per second and 210ms time to first token:
- Processing Time: 2 minutes, 10.11 seconds
- Latency: 210 milliseconds to first token
- Base Throughput: 420 tokens/second
- Effective Throughput: 393 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for GPT-5.5. 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 →Claude Opus 4.7 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.006250 (rounded ~ $0.01)
Output: $0.006250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 1,000 output tokens:
- Input Cost: $0.062500 (rounded ~ $0.06)
- Output Cost: $0.006250 (rounded ~ $0.01)
- Total Cost: $0.035000 (rounded ~ $0.04)
- Cost per 1K tokens: $0.000686
- Tokens per dollar: 1,457,143 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 260 tokens per second and 400ms time to first token:
- Processing Time: 3 minutes, 30.06 seconds
- Latency: 400 milliseconds to first token
- Base Throughput: 260 tokens/second
- Effective Throughput: 243 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Claude Opus 4.7. 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 GPT-5.5| Rank | AI Model & Provider | Total Cost | vs GPT-5.5 | vs Claude Opus 4.7 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000650 Best Value | ↓ 99.1% cheaper | ↓ 98.1% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.001813 | ↓ 97.5% cheaper | ↓ 94.8% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.002350 | ↓ 96.8% cheaper | ↓ 93.3% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.002350 | ↓ 96.8% cheaper | ↓ 93.3% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.003250 | ↓ 95.5% cheaper | ↓ 90.7% cheaper |
| #6 |
Gemini 3.8 Flash
Google
|
$0.005250 (rounded ~ $0.01) | ↓ 92.8% cheaper | ↓ 85% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.005438 (rounded ~ $0.01) | ↓ 92.5% cheaper | ↓ 84.5% cheaper |
| #8 |
o4-mini Deep Research
OpenAI
|
$0.006750 (rounded ~ $0.01) | ↓ 90.7% cheaper | ↓ 80.7% cheaper |
| #9 |
Claude Haiku 4.5
Anthropic
|
$0.007000 (rounded ~ $0.01) | ↓ 90.3% cheaper | ↓ 80% cheaper |
| #10 |
Gemini 3.1 Flash
Google
|
$0.007250 (rounded ~ $0.01) | ↓ 90% cheaper | ↓ 79.3% cheaper |
| #11 |
GPT-5.6 Luna
OpenAI
|
$0.007250 (rounded ~ $0.01) | ↓ 90% cheaper | ↓ 79.3% cheaper |
| #12 |
o4-mini
OpenAI
|
$0.007425 (rounded ~ $0.01) | ↓ 89.8% cheaper | ↓ 78.8% cheaper |
| #13 |
Gemini 3.6 Flash
Google
|
$0.010500 | ↓ 85.5% cheaper | ↓ 70% cheaper |
| #14 |
Gemini 3.5 Flash
Google
|
$0.010875 | ↓ 85% cheaper | ↓ 68.9% cheaper |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$0.013563 (rounded ~ $0.01) | ↓ 81.3% cheaper | ↓ 61.3% cheaper |
| #16 |
GPT-5.3 Instant
OpenAI
|
$0.013563 (rounded ~ $0.01) | ↓ 81.3% cheaper | ↓ 61.3% cheaper |
| #17 |
Claude Sonnet 5
Anthropic
|
$0.014000 (rounded ~ $0.01) | ↓ 80.7% cheaper | ↓ 60% cheaper |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.018125 (rounded ~ $0.02) | ↓ 75% cheaper | ↓ 48.2% cheaper |
| #19 |
Gemini 2.5 Pro
Google
|
$0.019375 | ↓ 73.3% cheaper | ↓ 44.6% cheaper |
| #20 |
Claude Sonnet 4.6
Anthropic
|
$0.021000 (rounded ~ $0.02) | ↓ 71% cheaper | ↓ 40% cheaper |
| #21 |
Grok 4.3
xAI
|
$0.025000 (rounded ~ $0.03) | ↓ 65.5% cheaper | ↓ 28.6% cheaper |
| #22 |
Grok 4.20 Beta
xAI
|
$0.025000 (rounded ~ $0.03) | ↓ 65.5% cheaper | ↓ 28.6% cheaper |
| #23 |
Gemini 3.1 Pro
Google
|
$0.029000 | ↓ 60% cheaper | ↓ 17.1% cheaper |
| #24 |
Claude Opus 4.7
Anthropic
|
$0.035000 (rounded ~ $0.04) | ↓ 51.7% cheaper | Same price |
| #25 |
Claude Opus 5
Anthropic
|
$0.035000 (rounded ~ $0.04) | ↓ 51.7% cheaper | Same price |
| #26 |
Claude Opus 4.8
Anthropic
|
$0.035000 (rounded ~ $0.04) | ↓ 51.7% cheaper | Same price |
| #27 |
Claude Opus 4.6
Anthropic
|
$0.035000 (rounded ~ $0.04) | ↓ 51.7% cheaper | Same price |
| #28 |
GPT-5.4
OpenAI
|
$0.036250 (rounded ~ $0.04) | ↓ 50% cheaper | ↑ 3.6% more |
| #29 |
GPT-5.4 Thinking
OpenAI
|
$0.036250 (rounded ~ $0.04) | ↓ 50% cheaper | ↑ 3.6% more |
| #30 |
GPT-5.5 Instant
OpenAI
|
$0.036250 (rounded ~ $0.04) | ↓ 50% cheaper | ↑ 3.6% more |
| #31 |
GPT-5.6 Sol
OpenAI
|
$0.036250 (rounded ~ $0.04) | ↓ 50% cheaper | ↑ 3.6% more |
| #32 |
Claude Fable 5.1
Anthropic
|
$0.064375 (rounded ~ $0.06) | ↓ 11.2% cheaper | ↑ 83.9% more |
| #33 |
Claude Mythos 5.1
Anthropic
|
$0.064375 (rounded ~ $0.06) | ↓ 11.2% cheaper | ↑ 83.9% more |
| #34 |
o3 Deep Research
OpenAI
|
$0.067500 (rounded ~ $0.07) | ↓ 6.9% cheaper | ↑ 92.9% more |
| #35 |
Claude Fable 5
Anthropic
|
$0.070000 | ↓ 3.4% cheaper | ↑ 100% more |
| #36 |
Claude Mythos 5
Anthropic
|
$0.070000 | ↓ 3.4% cheaper | ↑ 100% more |
| #37 |
o3 Pro
OpenAI
|
$0.135000 (rounded ~ $0.14) | ↑ 86.2% more | ↑ 285.7% more |
| #38 |
GPT-6 Astra
OpenAI
|
$0.140000 | ↑ 93.1% more | ↑ 300% more |
| #39 |
GPT-5.2 Pro
OpenAI
|
$0.162750 (rounded ~ $0.16) | ↑ 124.5% more | ↑ 365% more |
| #40 |
GPT-5.2 Pro
OpenAI
|
$0.162750 (rounded ~ $0.16) | ↑ 124.5% more | ↑ 365% more |
Mistral Small 3 Mistral AI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5 Anthropic
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
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
GPT-5.6 Sol OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
o3 Deep Research OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
o3 Pro OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Scaling High-Volume Customer Support
For support leads managing 300+ concurrent sessions, the choice between GPT-5.5 and Claude Opus 4.7 often comes down to the specific nature of your RAG pipeline. GPT-5.5 offers robust reasoning and agentic capabilities, making it a strong choice for complex, multi-step escalation workflows where accuracy is paramount.
Claude Opus 4.7, conversely, excels in its ability to maintain coherence across lengthy, multi-session interactions. Its architecture is particularly well-suited for high-context retrieval tasks, ensuring that your support chatbots stay grounded in existing customer history and documentation without losing the thread of the conversation. When evaluating these models for your support stack, consider the latency requirements of your frontline agents. Both models support advanced function calling, but the overhead of their reasoning engines can differ. If your workload involves high-volume, standard FAQ-style queries, both models provide top-tier reliability. However, for nuanced, multilingual support where cultural context and precise instruction following are critical, Claude Opus 4.7’s strength in instruction-following often provides a smoother customer experience.
Ultimately, the decision should be driven by the complexity of your escalation paths. If your bots need to independently trigger diagnostic tools, perform account lookups, and suggest solutions without human intervention, GPT-5.5 provides a highly reliable, agentic framework. If your primary focus is on long-form, empathetic, and context-aware conversational support, Claude Opus 4.7 is a formidable, high-performance option for mid-market scale.