Claude Haiku 4.6 Anthropic
💰 Total Cost Calculation (from Plugin)
Output: $0.093750 (rounded ~ $0.09)
Output: $0.093750 (rounded ~ $0.09)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 300,000 output tokens:
- Input Cost: $0.031250 (rounded ~ $0.03)
- Output Cost: $0.093750 (rounded ~ $0.09)
- Total Cost: $0.119375
- Cost per 1K tokens: $0.000149
- Tokens per dollar: 6,701,571 tokens
- Context Window: 200000 tokens
Speed & Performance Analysis
With a processing speed of 850 tokens per second and 75ms time to first token:
- Processing Time: 16 minutes, 47.24 seconds
- Latency: 75 milliseconds to first token
- Base Throughput: 850 tokens/second
- Effective Throughput: 794 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.900000
Output: $0.900000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 300,000 output tokens:
- Input Cost: $0.250000
- Output Cost: $0.900000
- Total Cost: $1.105000 (rounded ~ $1.11)
- Cost per 1K tokens: $0.001381
- Tokens per dollar: 723,982 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 800 tokens per second and 100ms time to first token:
- Processing Time: 17 minutes, 50.18 seconds
- Latency: 100 milliseconds to first token
- Base Throughput: 800 tokens/second
- Effective Throughput: 748 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Gemini 3.1 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 Haiku 4.6| Rank | AI Model & Provider | Total Cost | vs Claude Haiku 4.6 | vs Gemini 3.1 Flash |
|---|---|---|---|---|
| 🏆 |
Nemotron 3 Super
Mistral AI
|
$0.092250 (rounded ~ $0.09) Best Value | ↓ 22.7% cheaper | ↓ 91.7% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.138125 (rounded ~ $0.14) | ↑ 15.7% more | ↓ 87.5% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.218250 (rounded ~ $0.22) | ↑ 82.8% more | ↓ 80.2% cheaper |
| #4 |
Grok 4.3
xAI
|
$0.315625 (rounded ~ $0.32) | ↑ 164.4% more | ↓ 71.4% cheaper |
| #5 |
Grok 4.20 Beta
xAI
|
$0.655000 (rounded ~ $0.66) | ↑ 448.7% more | ↓ 40.7% cheaper |
| #6 |
Gemini 3.5 Flash
Google
|
$0.828750 (rounded ~ $0.83) | ↑ 594.2% more | ↓ 25% cheaper |
| #7 |
Gemini 3.1 Flash
Google
|
$1.105000 (rounded ~ $1.11) | ↑ 825.7% more | Same price |
| #8 |
Claude Sonnet 4.6
Anthropic
|
$1.432500 (rounded ~ $1.43) | ↑ 1100% more | ↑ 29.6% more |
| #9 |
Claude Opus 4.7
Anthropic
|
$2.387500 (rounded ~ $2.39) | ↑ 1900% more | ↑ 116.1% more |
| #10 |
Claude Opus 4.8
Anthropic
|
$2.387500 (rounded ~ $2.39) | ↑ 1900% more | ↑ 116.1% more |
| #11 |
Claude Opus 4.6
Anthropic
|
$2.387500 (rounded ~ $2.39) | ↑ 1900% more | ↑ 116.1% more |
| #12 |
Gemini 2.5 Pro
Google
|
$2.762500 (rounded ~ $2.76) | ↑ 2214.1% more | ↑ 150% more |
| #13 |
Gemini 3.1 Pro
Google
|
$3.520000 | ↑ 2848.7% more | ↑ 218.6% more |
| #14 |
GPT-5.4
OpenAI
|
$4.400000 | ↑ 3585.9% more | ↑ 298.2% more |
| #15 |
GPT-5.4 Thinking
OpenAI
|
$4.400000 | ↑ 3585.9% more | ↑ 298.2% more |
| #16 |
GPT-5.5
OpenAI
|
$8.800000 | ↑ 7271.7% more | ↑ 696.4% more |
| #17 |
GPT-5.5
OpenAI
|
$8.800000 | ↑ 7271.7% more | ↑ 696.4% more |
Nemotron 3 Super Mistral AI
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.5 Flash Google
Gemini 3.1 Flash Google
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
Gemini 2.5 Pro Google
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 OpenAI
GPT-5.5 OpenAI
Choosing Your Email Automation Engine
For high-volume email campaigns where cost efficiency is paramount, choosing between Claude Haiku 4.6 and Gemini 3.1 Flash comes down to your specific workflow needs. Claude Haiku 4.6 excels as a ‘speedrunner,’ making it an ideal choice for tasks requiring rapid, parallelized content generation where you need consistency across hundreds of email variations. Its instruction-following is highly reliable, which helps maintain brand voice across large batches.
On the other hand, Gemini 3.1 Flash leverages a massive context window, which is particularly beneficial if your personalization strategy relies on processing large amounts of historical customer data or long-form interaction history in each prompt. While both models handle text generation with low latency, Gemini’s ability to ingest substantial context in a single call often streamlines workflows that would otherwise require complex data pre-processing.
If your email pipeline involves multi-step reasoning or if you are already deeply integrated into the Google Cloud ecosystem, the operational synergy of Gemini 3.1 Flash can reduce overall complexity. For teams prioritizing raw speed and lightweight task execution, Haiku 4.6 remains a powerhouse. Evaluate whether your personalization strategy is context-heavy—favoring Gemini—or template-intensive—favoring Haiku—to determine the best fit for your marketing stack.