Gemini 3.1 Flash Google 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.000750
Output: $0.000750
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 500 output tokens:
- Input Cost: $0.012500 (rounded ~ $0.01)
- Output Cost: $0.000750
- Total Cost: $0.007625 (rounded ~ $0.01)
- 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: 1 minute, 7.72 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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💰 Total Cost Calculation (from Plugin)
Output: $0.000156
Output: $0.000156
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 500 output tokens:
- Input Cost: $0.003125
- Output Cost: $0.000156
- Total Cost: $0.001875
- 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: 1 minute, 3.75 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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This calculator shows the math for Claude Haiku 4.6. 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 Gemini 3.1 Flash| Rank | AI Model & Provider | Total Cost | vs Gemini 3.1 Flash | vs Claude Haiku 4.6 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000725 Best Value | ↓ 90.5% cheaper | ↓ 61.3% cheaper |
| 🥈 |
Devstral Small 2
Mistral AI
|
$0.000725 | ↓ 90.5% cheaper | ↓ 61.3% cheaper |
| 🥉 |
Ministral 3 (14B)
Mistral AI
|
$0.001400 | ↓ 81.6% cheaper | ↓ 25.3% cheaper |
| #4 |
Grok Code Fast 1
xAI
|
$0.001563 | ↓ 79.5% cheaper | ↓ 16.7% cheaper |
| #5 |
Gemini 3.1 Flash Lite
Google
|
$0.001906 | ↓ 75% cheaper | ↑ 1.7% more |
| #6 |
Nemotron 3 Super
Mistral AI
|
$0.002165 | ↓ 71.6% cheaper | ↑ 15.5% more |
| #7 |
Gemini 2.5 Flash
Google
|
$0.002375 | ↓ 68.9% cheaper | ↑ 26.7% more |
| #8 |
Devstral 2
Mistral AI
|
$0.002863 | ↓ 62.5% cheaper | ↑ 52.7% more |
| #9 |
Mistral Large 3
Mistral AI
|
$0.003625 | ↓ 52.5% cheaper | ↑ 93.3% more |
| #10 |
GPT-5.4 mini
OpenAI
|
$0.005719 (rounded ~ $0.01) | ↓ 25% cheaper | ↑ 205% more |
| #11 |
o4-mini Deep Research
OpenAI
|
$0.007375 (rounded ~ $0.01) | ↓ 3.3% cheaper | ↑ 293.3% more |
| #12 |
Claude Haiku 4.5
Anthropic
|
$0.007500 (rounded ~ $0.01) | ↓ 1.6% cheaper | ↑ 300% more |
| #13 |
o4-mini
OpenAI
|
$0.008113 (rounded ~ $0.01) | ↑ 6.4% more | ↑ 332.7% more |
| #14 |
Grok 4.3
xAI
|
$0.008906 (rounded ~ $0.01) | ↑ 16.8% more | ↑ 375% more |
| #15 |
Gemini 3.5 Flash
Google
|
$0.011438 (rounded ~ $0.01) | ↑ 50% more | ↑ 510% more |
| #16 |
GPT-5.3 Codex Spark
OpenAI
|
$0.013781 (rounded ~ $0.01) | ↑ 80.7% more | ↑ 635% more |
| #17 |
GPT-5.3 Instant
OpenAI
|
$0.013781 (rounded ~ $0.01) | ↑ 80.7% more | ↑ 635% more |
| #18 |
Magistral Medium
Mistral AI
|
$0.014375 (rounded ~ $0.01) | ↑ 88.5% more | ↑ 666.7% more |
| #19 |
Grok 4.20 Beta
xAI
|
$0.014500 (rounded ~ $0.01) | ↑ 90.2% more | ↑ 673.3% more |
| #20 |
Gemini 2.5 Pro
Google
|
$0.019688 | ↑ 158.2% more | ↑ 950% more |
| #21 |
Claude Sonnet 4.6
Anthropic
|
$0.022500 (rounded ~ $0.02) | ↑ 195.1% more | ↑ 1100% more |
| #22 |
Gemini 3.1 Pro
Google
|
$0.030500 | ↑ 300% more | ↑ 1526.7% more |
| #23 |
Claude Opus 4.7
Anthropic
|
$0.037500 (rounded ~ $0.04) | ↑ 391.8% more | ↑ 1900% more |
| #24 |
Claude Opus 4.8
Anthropic
|
$0.037500 (rounded ~ $0.04) | ↑ 391.8% more | ↑ 1900% more |
| #25 |
Claude Opus 4.6
Anthropic
|
$0.037500 (rounded ~ $0.04) | ↑ 391.8% more | ↑ 1900% more |
| #26 |
GPT-5.4
OpenAI
|
$0.038125 (rounded ~ $0.04) | ↑ 400% more | ↑ 1933.3% more |
| #27 |
GPT-5.4 Thinking
OpenAI
|
$0.038125 (rounded ~ $0.04) | ↑ 400% more | ↑ 1933.3% more |
| #28 |
GPT-5.5 Instant
OpenAI
|
$0.038125 (rounded ~ $0.04) | ↑ 400% more | ↑ 1933.3% more |
| #29 |
o3 Deep Research
OpenAI
|
$0.073750 (rounded ~ $0.07) | ↑ 867.2% more | ↑ 3833.3% more |
| #30 |
GPT-5.5
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↑ 900% more | ↑ 3966.7% more |
| #31 |
o3 Pro
OpenAI
|
$0.147500 (rounded ~ $0.15) | ↑ 1834.4% more | ↑ 7766.7% more |
| #32 |
GPT-5.2 Pro
OpenAI
|
$0.165375 (rounded ~ $0.17) | ↑ 2068.9% more | ↑ 8720% more |
| #33 |
GPT-5.2 Pro
OpenAI
|
$0.165375 (rounded ~ $0.17) | ↑ 2068.9% more | ↑ 8720% more |
Mistral Small 3 Mistral AI
Devstral Small 2 Mistral AI
Ministral 3 (14B) Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Nemotron 3 Super Mistral AI
Gemini 2.5 Flash Google
Devstral 2 Mistral AI
Mistral Large 3 Mistral AI
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
o4-mini OpenAI
Grok 4.3 xAI
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Magistral Medium Mistral AI
Grok 4.20 Beta xAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Gemini 3.1 Pro Google
Claude Opus 4.7 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
o3 Deep Research OpenAI
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
When evaluating AI models for generating around 50,000 pieces of social media content, Gemini 3.1 Flash and Claude Haiku 4.6 offer compelling value propositions for social media managers. Gemini 3.1 Flash is recognized for its speed and integrated multimodal capabilities, making it versatile for various content types, coupled with a competitive pricing structure for high-volume tasks. It’s a strong contender for rapid content creation where quick turnaround is essential. Claude Haiku 4.6, on the other hand, is lauded for its efficiency and strong performance in producing coherent and contextually relevant text, often excelling in tasks requiring clear, structured output and adhering to specific instructions. For social media managers, the choice between these two highly capable models might hinge on subtle differences in generated tone, the ease of API integration, or specific platform requirements, rather than solely on cost, as both are highly cost-effective at this scale. Consider testing both for your specific content needs to determine the best fit for your brand’s voice and workflow.