Claude Haiku 4.6 Anthropic
💰 Total Cost Calculation (from Plugin)
Output: $0.000375
Output: $0.000375
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Resolution: Medium
Tokens: 2,580,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 1,500 input tokens and 300 output tokens:
- Input Cost: $0.645375 (rounded ~ $0.65)
- Output Cost: $0.000375
- Total Cost: $0.645750 (rounded ~ $0.65)
- Cost per 1K tokens: $0.000250
- Tokens per dollar: 3,998,142 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: 54 minutes, 10.21 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: $0.001800
Output: $0.001800
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Resolution: Medium
Tokens: 2,580,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 1,500 input tokens and 300 output tokens:
- Input Cost: $2.581500 (rounded ~ $2.58)
- Output Cost: $0.001800
- Total Cost: $2.583300 (rounded ~ $2.58)
- Cost per 1K tokens: $0.001001
- Tokens per dollar: 999,419 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: 57 minutes, 33.34 seconds
- Latency: 100 milliseconds to first token
- Base Throughput: 800 tokens/second
- Effective Throughput: 748 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
|
$0.258240 (rounded ~ $0.26) Best Value | ↓ 60% cheaper | ↓ 90% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.645825 (rounded ~ $0.65) | Same price | ↓ 75% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.775200 (rounded ~ $0.78) | ↑ 20% more | ↓ 70% cheaper |
| #4 |
Llama 4 Maverick (400B)
Meta AI
|
$1.207905 (rounded ~ $1.21) | ↑ 87.1% more | ↓ 53.2% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$1.292200 (rounded ~ $1.29) | ↑ 100.1% more | ↓ 50% cheaper |
| #6 |
Kimi K2.5
Moonshot AI
|
$1.549800 | ↑ 140% more | ↓ 40% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$1.937475 (rounded ~ $1.94) | ↑ 200% more | ↓ 25% cheaper |
| #8 |
Kimi K2.6
Moonshot AI
|
$2.453625 (rounded ~ $2.45) | ↑ 280% more | ↓ 5% cheaper |
| #9 |
o4-mini Deep Research
OpenAI
|
$2.582700 (rounded ~ $2.58) | ↑ 300% more | ↓ 0% cheaper |
| #10 |
Claude Haiku 4.5
Anthropic
|
$2.583000 (rounded ~ $2.58) | ↑ 300% more | ↓ 0% cheaper |
| #11 |
Gemini 3.1 Flash
Google
|
$2.583300 (rounded ~ $2.58) | ↑ 300% more | Same price |
| #12 |
o4-mini
OpenAI
|
$2.840970 | ↑ 339.9% more | ↑ 10% more |
| #13 |
Grok 4.3
xAI
|
$3.227625 (rounded ~ $3.23) | ↑ 399.8% more | ↑ 24.9% more |
| #14 |
Gemini 3.5 Flash
Google
|
$3.874950 (rounded ~ $3.87) | ↑ 500.1% more | ↑ 50% more |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$4.521825 (rounded ~ $4.52) | ↑ 600.2% more | ↑ 75% more |
| #16 |
GPT-5.3 Instant
OpenAI
|
$4.521825 (rounded ~ $4.52) | ↑ 600.2% more | ↑ 75% more |
| #17 |
Gemini 2.5 Pro
Google
|
$6.458250 (rounded ~ $6.46) | ↑ 900.1% more | ↑ 150% more |
| #18 |
Claude Sonnet 4.6
Anthropic
|
$7.749000 | ↑ 1100% more | ↑ 200% more |
| #19 |
Gemini 3.1 Pro
Google
|
$10.331400 (rounded ~ $10.33) | ↑ 1499.9% more | ↑ 299.9% more |
| #20 |
GPT-5.4
OpenAI
|
$12.914250 (rounded ~ $12.91) | ↑ 1899.9% more | ↑ 399.9% more |
| #21 |
GPT-5.4 Thinking
OpenAI
|
$12.914250 (rounded ~ $12.91) | ↑ 1899.9% more | ↑ 399.9% more |
| #22 |
Claude Opus 4.7
Anthropic
|
$12.915000 (rounded ~ $12.92) | ↑ 1900% more | ↑ 399.9% more |
| #23 |
Claude Opus 4.8
Anthropic
|
$12.915000 (rounded ~ $12.92) | ↑ 1900% more | ↑ 399.9% more |
| #24 |
Claude Opus 4.6
Anthropic
|
$12.915000 (rounded ~ $12.92) | ↑ 1900% more | ↑ 399.9% more |
| #25 |
GPT-5.5 Instant
OpenAI
|
$12.916500 (rounded ~ $12.92) | ↑ 1900.2% more | ↑ 400% more |
| #26 |
o3 Deep Research
OpenAI
|
$25.827000 (rounded ~ $25.83) | ↑ 3899.5% more | ↑ 899.8% more |
| #27 |
GPT-5.5
OpenAI
|
$25.828500 (rounded ~ $25.83) | ↑ 3899.8% more | ↑ 899.8% more |
| #28 |
o3 Pro
OpenAI
|
$51.654000 (rounded ~ $51.65) | ↑ 7899.1% more | ↑ 1899.5% more |
| #29 |
GPT-5.2 Pro
OpenAI
|
$54.261900 (rounded ~ $54.26) | ↑ 8302.9% more | ↑ 2000.5% more |
| #30 |
GPT-5.5 Pro
OpenAI
|
$77.499000 | ↑ 11901.4% more | ↑ 2900% more |
| #31 |
GPT-5.5 Pro
OpenAI
|
$77.499000 | ↑ 11901.4% more | ↑ 2900% more |
Mistral Small 3 Mistral AI
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Llama 4 Maverick (400B) Meta AI
Mistral Large 3 Mistral AI
Kimi K2.5 Moonshot AI
GPT-5.4 mini OpenAI
Kimi K2.6 Moonshot AI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
o4-mini OpenAI
Grok 4.3 xAI
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 Instant OpenAI
o3 Deep Research OpenAI
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.5 Pro OpenAI
GPT-5.5 Pro OpenAI
For mid-market teams looking to generate approximately 5,000 storyboard frames and accompanying descriptions efficiently, a comparison between Claude Haiku 4.6 and Gemini 3.1 Flash is highly relevant. Claude Haiku is praised for its speed and cost-effectiveness, offering solid multimodal capabilities suitable for creative tasks where rapid iteration is key. Gemini 3.1 Flash also provides a strong balance of performance and economy with its vision and text processing, making it a contender for similar workloads. Consultants will want to evaluate how each model handles the dual task of visual frame generation and textual description creation—assessing their respective strengths in interpreting creative briefs, maintaining visual style, and producing coherent scene narratives within budget constraints.