Claude Haiku 4.6 Anthropic
💰 Total Cost Calculation (from Plugin)
Output: $0.000313
Output: $0.000313
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,000 output tokens:
- Input Cost: $0.006250 (rounded ~ $0.01)
- Output Cost: $0.000313
- Total Cost: $0.003750
- Cost per 1K tokens: $0.000037
- Tokens per dollar: 26,933,333 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: 2 minutes, 4.94 seconds
- Latency: 75 milliseconds to first token
- Base Throughput: 850 tokens/second
- Effective Throughput: 810 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.001500
Output: $0.001500
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,000 output tokens:
- Input Cost: $0.025000 (rounded ~ $0.03)
- Output Cost: $0.001500
- Total Cost: $0.015250 (rounded ~ $0.02)
- Cost per 1K tokens: $0.000151
- Tokens per dollar: 6,622,951 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: 2 minutes, 12.74 seconds
- Latency: 100 milliseconds to first token
- Base Throughput: 800 tokens/second
- Effective Throughput: 762 tokens/second (temperature-adjusted)
Best Use Cases
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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.
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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 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001450 Best Value | ↓ 61.3% cheaper | ↓ 90.5% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.003813 | ↑ 1.7% more | ↓ 75% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.004750 | ↑ 26.7% more | ↓ 68.9% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.004750 | ↑ 26.7% more | ↓ 68.9% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.007250 (rounded ~ $0.01) | ↑ 93.3% more | ↓ 52.5% cheaper |
| #6 |
Gemini 3.8 Flash
Google
|
$0.011250 (rounded ~ $0.01) | ↑ 200% more | ↓ 26.2% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.011438 (rounded ~ $0.01) | ↑ 205% more | ↓ 25% cheaper |
| #8 |
o4-mini Deep Research
OpenAI
|
$0.014750 (rounded ~ $0.01) | ↑ 293.3% more | ↓ 3.3% cheaper |
| #9 |
Claude Haiku 4.5
Anthropic
|
$0.015000 (rounded ~ $0.02) | ↑ 300% more | ↓ 1.6% cheaper |
| #10 |
Gemini 3.1 Flash
Google
|
$0.015250 (rounded ~ $0.02) | ↑ 306.7% more | Same price |
| #11 |
GPT-5.6 Luna
OpenAI
|
$0.015250 (rounded ~ $0.02) | ↑ 306.7% more | Same price |
| #12 |
o4-mini
OpenAI
|
$0.016225 (rounded ~ $0.02) | ↑ 332.7% more | ↑ 6.4% more |
| #13 |
Gemini 3.6 Flash
Google
|
$0.022500 (rounded ~ $0.02) | ↑ 500% more | ↑ 47.5% more |
| #14 |
Gemini 3.5 Flash
Google
|
$0.022875 (rounded ~ $0.02) | ↑ 510% more | ↑ 50% more |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$0.027563 (rounded ~ $0.03) | ↑ 635% more | ↑ 80.7% more |
| #16 |
GPT-5.3 Instant
OpenAI
|
$0.027563 (rounded ~ $0.03) | ↑ 635% more | ↑ 80.7% more |
| #17 |
Claude Sonnet 5
Anthropic
|
$0.030000 | ↑ 700% more | ↑ 96.7% more |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.038125 (rounded ~ $0.04) | ↑ 916.7% more | ↑ 150% more |
| #19 |
Gemini 2.5 Pro
Google
|
$0.039375 | ↑ 950% more | ↑ 158.2% more |
| #20 |
Claude Sonnet 4.6
Anthropic
|
$0.045000 (rounded ~ $0.05) | ↑ 1100% more | ↑ 195.1% more |
| #21 |
Grok 4.3
xAI
|
$0.057000 (rounded ~ $0.06) | ↑ 1420% more | ↑ 273.8% more |
| #22 |
Grok 4.20 Beta
xAI
|
$0.057000 (rounded ~ $0.06) | ↑ 1420% more | ↑ 273.8% more |
| #23 |
Gemini 3.1 Pro
Google
|
$0.061000 (rounded ~ $0.06) | ↑ 1526.7% more | ↑ 300% more |
| #24 |
Claude Opus 4.7
Anthropic
|
$0.075000 (rounded ~ $0.08) | ↑ 1900% more | ↑ 391.8% more |
| #25 |
Claude Opus 5
Anthropic
|
$0.075000 (rounded ~ $0.08) | ↑ 1900% more | ↑ 391.8% more |
| #26 |
Claude Opus 4.8
Anthropic
|
$0.075000 (rounded ~ $0.08) | ↑ 1900% more | ↑ 391.8% more |
| #27 |
Claude Opus 4.6
Anthropic
|
$0.075000 (rounded ~ $0.08) | ↑ 1900% more | ↑ 391.8% more |
| #28 |
GPT-5.4
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↑ 1933.3% more | ↑ 400% more |
| #29 |
GPT-5.4 Thinking
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↑ 1933.3% more | ↑ 400% more |
| #30 |
GPT-5.5 Instant
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↑ 1933.3% more | ↑ 400% more |
| #31 |
GPT-5.6 Sol
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↑ 1933.3% more | ↑ 400% more |
| #32 |
Claude Fable 5.1
Anthropic
|
$0.140625 | ↑ 3650% more | ↑ 822.1% more |
| #33 |
Claude Mythos 5.1
Anthropic
|
$0.140625 | ↑ 3650% more | ↑ 822.1% more |
| #34 |
o3 Deep Research
OpenAI
|
$0.147500 (rounded ~ $0.15) | ↑ 3833.3% more | ↑ 867.2% more |
| #35 |
Claude Fable 5
Anthropic
|
$0.150000 | ↑ 3900% more | ↑ 883.6% more |
| #36 |
Claude Mythos 5
Anthropic
|
$0.150000 | ↑ 3900% more | ↑ 883.6% more |
| #37 |
GPT-5.5
OpenAI
|
$0.152500 (rounded ~ $0.15) | ↑ 3966.7% more | ↑ 900% more |
| #38 |
o3 Pro
OpenAI
|
$0.295000 (rounded ~ $0.30) | ↑ 7766.7% more | ↑ 1834.4% more |
| #39 |
GPT-6 Astra
OpenAI
|
$0.300000 | ↑ 7900% more | ↑ 1867.2% more |
| #40 |
GPT-5.2 Pro
OpenAI
|
$0.330750 | ↑ 8720% more | ↑ 2068.9% more |
| #41 |
GPT-5.2 Pro
OpenAI
|
$0.330750 | ↑ 8720% more | ↑ 2068.9% 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
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Choosing the Right Model for Large-Scale Support Logs
For engineering teams handling 100K-token support logs per request, the choice between Claude Haiku 4.6 and Gemini 3.1 Flash often boils down to balancing throughput against reasoning depth. These high-volume pipelines demand models that can process vast context windows without stalling or failing on complex, multi-turn customer interactions.
Claude Haiku 4.6 shines in environments requiring extreme efficiency. Its architecture is purpose-built for classification, routing, and extraction tasks, making it an ideal candidate for triage pipelines where you need to interpret intent from lengthy support threads before passing them to human agents or more capable reasoning models. Its consistent performance across long context windows makes it predictable for automated workflows.
Gemini 3.1 Flash, by contrast, offers robust multimodal capabilities and high-speed processing for larger batches. If your support logs contain screenshots, document attachments, or multi-media diagnostic data, Gemini’s native multimodal understanding provides a streamlined integration that avoids the need for complex, multi-step API chains. It is particularly effective for RAG-based support systems where the model must query extensive knowledge bases to answer specific, technically dense customer inquiries.
When selecting between them, consider your existing infrastructure. Teams already deep in the Google Cloud ecosystem benefit from Gemini’s seamless integration with Vertex AI, while teams prioritizing strict adherence to structured outputs and nuanced, instruction-following tasks often prefer the Claude API ecosystem.