Claude Sonnet 5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.002500
Output: $0.002500
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 200,000 input tokens and 1,000 output tokens:
- Input Cost: $0.100000
- Output Cost: $0.002500
- Total Cost: $0.057500 (rounded ~ $0.06)
- Cost per 1K tokens: $0.000286
- Tokens per dollar: 3,495,652 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 460 tokens per second and 195ms time to first token:
- Processing Time: 7 minutes, 47.72 seconds
- Latency: 195 milliseconds to first token
- Base Throughput: 460 tokens/second
- Effective Throughput: 430 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.001875
Output: $0.001875
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 200,000 input tokens and 1,000 output tokens:
- Input Cost: $0.075000 (rounded ~ $0.08)
- Output Cost: $0.001875
- Total Cost: $0.043125 (rounded ~ $0.04)
- Cost per 1K tokens: $0.000215
- Tokens per dollar: 4,660,870 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: 11 minutes, 47.65 seconds
- Latency: 120 milliseconds to first token
- Base Throughput: 304 tokens/second
- Effective Throughput: 284 tokens/second (temperature-adjusted)
Best Use Cases
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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.
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Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to Claude Sonnet 5| Rank | AI Model & Provider | Total Cost | vs Claude Sonnet 5 | vs Gemini 3.6 Flash |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.007250 (rounded ~ $0.01) Best Value | ↓ 87.4% cheaper | ↓ 83.2% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.008875 (rounded ~ $0.01) | ↓ 84.6% cheaper | ↓ 79.4% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.008875 (rounded ~ $0.01) | ↓ 84.6% cheaper | ↓ 79.4% cheaper |
| #4 |
Mistral Large 3
Mistral AI
|
$0.014125 (rounded ~ $0.01) | ↓ 75.4% cheaper | ↓ 67.2% cheaper |
| #5 |
Gemini 3.8 Flash
Google
|
$0.021563 (rounded ~ $0.02) | ↓ 62.5% cheaper | ↓ 50% cheaper |
| #6 |
GPT-5.4 mini
OpenAI
|
$0.021750 (rounded ~ $0.02) | ↓ 62.2% cheaper | ↓ 49.6% cheaper |
| #7 |
Claude Haiku 4.5
Anthropic
|
$0.028750 (rounded ~ $0.03) | ↓ 50% cheaper | ↓ 33.3% cheaper |
| #8 |
GPT-5.6 Luna
OpenAI
|
$0.029000 | ↓ 49.6% cheaper | ↓ 32.8% cheaper |
| #9 |
Gemini 3.6 Flash
Google
|
$0.043125 (rounded ~ $0.04) | ↓ 25% cheaper | Same price |
| #10 |
Gemini 3.5 Flash
Google
|
$0.043500 (rounded ~ $0.04) | ↓ 24.3% cheaper | ↑ 0.9% more |
| #11 |
Gemini 3.1 Flash
Google
|
$0.058000 (rounded ~ $0.06) | ↑ 0.9% more | ↑ 34.5% more |
| #12 |
GPT-5.6 Terra
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 26.1% more | ↑ 68.1% more |
| #13 |
Claude Sonnet 4.6
Anthropic
|
$0.086250 (rounded ~ $0.09) | ↑ 50% more | ↑ 100% more |
| #14 |
Claude Opus 4.7
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 150% more | ↑ 233.3% more |
| #15 |
Claude Opus 5
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 150% more | ↑ 233.3% more |
| #16 |
Claude Opus 4.8
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 150% more | ↑ 233.3% more |
| #17 |
Claude Opus 4.6
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 150% more | ↑ 233.3% more |
| #18 |
GPT-5.4
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↑ 152.2% more | ↑ 236.2% more |
| #19 |
GPT-5.4 Thinking
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↑ 152.2% more | ↑ 236.2% more |
| #20 |
Gemini 2.5 Pro
Google
|
$0.145000 (rounded ~ $0.15) | ↑ 152.2% more | ↑ 236.2% more |
| #21 |
GPT-5.5 Instant
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↑ 152.2% more | ↑ 236.2% more |
| #22 |
GPT-5.6 Sol
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↑ 152.2% more | ↑ 236.2% more |
| #23 |
Grok 4.3
xAI
|
$0.224000 (rounded ~ $0.22) | ↑ 289.6% more | ↑ 419.4% more |
| #24 |
Grok 4.20 Beta
xAI
|
$0.224000 (rounded ~ $0.22) | ↑ 289.6% more | ↑ 419.4% more |
| #25 |
Gemini 3.1 Pro
Google
|
$0.229000 (rounded ~ $0.23) | ↑ 298.3% more | ↑ 431% more |
| #26 |
Claude Fable 5.1
Anthropic
|
$0.268750 (rounded ~ $0.27) | ↑ 367.4% more | ↑ 523.2% more |
| #27 |
Claude Mythos 5.1
Anthropic
|
$0.268750 (rounded ~ $0.27) | ↑ 367.4% more | ↑ 523.2% more |
| #28 |
Claude Fable 5
Anthropic
|
$0.287500 (rounded ~ $0.29) | ↑ 400% more | ↑ 566.7% more |
| #29 |
Claude Mythos 5
Anthropic
|
$0.287500 (rounded ~ $0.29) | ↑ 400% more | ↑ 566.7% more |
| #30 |
GPT-5.5
OpenAI
|
$0.572500 (rounded ~ $0.57) | ↑ 895.7% more | ↑ 1227.5% more |
| #31 |
GPT-6 Astra
OpenAI
|
$1.150000 | ↑ 1900% more | ↑ 2566.7% more |
| #32 |
GPT-6 Astra
OpenAI
|
$1.150000 | ↑ 1900% more | ↑ 2566.7% more |
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
Claude Haiku 4.5 Anthropic
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
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
Gemini 2.5 Pro Google
GPT-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
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-6 Astra OpenAI
When orchestrating multi-agent systems, selecting the right model often comes down to how each handles iterative tool use and reasoning within a 200K-token context window. Both Claude Sonnet 5 and Gemini 3.6 Flash, released in mid-2026, represent the current frontier for mid-tier agentic performance, yet they cater to different architectural needs.
Claude Sonnet 5 excels in autonomous planning and complex instruction following. Its refined reasoning capabilities make it a strong candidate for orchestrator agents that need to break down high-level user goals into granular, logical sub-tasks. Developers often find that Sonnet 5 handles multi-step tool interactions with high reliability, reducing the need for extensive error handling code in the orchestrator.
Gemini 3.6 Flash, by contrast, is optimized for high-throughput orchestration. With its recent architectural updates, it demonstrates impressive latency advantages and efficiency when running multiple worker agents in parallel. For workflows where you need to spawn many sub-agents to process data chunks or perform rapid-fire code refactoring, Gemini 3.6 Flash can maintain high performance without the overhead associated with heavier reasoning models.
Ultimately, the choice depends on your pipeline’s bottleneck. If your orchestrator requires depth and precise adherence to complex schemas, Sonnet 5 is the standard. If your architecture is bottlenecked by the sheer volume of sub-agent turnarounds and you require maximum speed, Gemini 3.6 Flash is likely the superior choice for scaling your multi-agent infrastructure.