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 10,000 input tokens and 500 output tokens:
- Input Cost: $0.002500
- Output Cost: $0.000750
- Total Cost: $0.002800
- Cost per 1K tokens: $0.000267
- Tokens per dollar: 3,750,000 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: 14.22 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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← Back to Gemini 3.1 Flash| Rank | AI Model & Provider | Total Cost | vs Gemini 3.1 Flash |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000243 Best Value | ↓ 91.3% cheaper |
| 🥈 |
Voxtral Small 24B
Mistral AI
|
$0.000243 | ↓ 91.3% cheaper |
| 🥉 |
Devstral Small 2
Mistral AI
|
$0.000243 | ↓ 91.3% cheaper |
| #4 |
Ministral 3 (14B)
Mistral AI
|
$0.000435 | ↓ 84.5% cheaper |
| #5 |
Gemini 3.1 Flash Lite
Google
|
$0.000700 | ↓ 75% cheaper |
| #6 |
Nemotron 3 Super
NVIDIA
|
$0.000718 | ↓ 74.4% cheaper |
| #7 |
Gemini 3.5 Flash-Lite
Google
|
$0.000928 | ↓ 66.9% cheaper |
| #8 |
Gemini 2.5 Flash
Google
|
$0.000928 | ↓ 66.9% cheaper |
| #9 |
Devstral 2
Mistral AI
|
$0.000933 | ↓ 66.7% cheaper |
| #10 |
Mistral Large 3
Mistral AI
|
$0.001213 | ↓ 56.7% cheaper |
| #11 |
Gemini 3.8 Flash
Google
|
$0.002006 | ↓ 28.3% cheaper |
| #12 |
GPT-5.4 mini
OpenAI
|
$0.002100 | ↓ 25% cheaper |
| #13 |
o4-mini Deep Research
OpenAI
|
$0.002550 | ↓ 8.9% cheaper |
| #14 |
Claude Haiku 4.5
Anthropic
|
$0.002675 | ↓ 4.5% cheaper |
| #15 |
GPT-5.6 Luna
OpenAI
|
$0.002800 | Same price |
| #16 |
o4-mini
OpenAI
|
$0.002805 | ↑ 0.2% more |
| #17 |
Gemini 3.6 Flash
Google
|
$0.004013 | ↑ 43.3% more |
| #18 |
Gemini 3.5 Flash
Google
|
$0.004200 | ↑ 50% more |
| #19 |
Magistral Medium
Mistral AI
|
$0.004725 | ↑ 68.8% more |
| #20 |
GPT-5.3 Codex Spark
OpenAI
|
$0.005338 (rounded ~ $0.01) | ↑ 90.6% more |
| #21 |
GPT-5.3 Instant
OpenAI
|
$0.005338 (rounded ~ $0.01) | ↑ 90.6% more |
| #22 |
Claude Sonnet 5
Anthropic
|
$0.005350 (rounded ~ $0.01) | ↑ 91.1% more |
| #23 |
GPT-5.6 Terra
OpenAI
|
$0.007000 (rounded ~ $0.01) | ↑ 150% more |
| #24 |
Gemini 2.5 Pro
Google
|
$0.007625 (rounded ~ $0.01) | ↑ 172.3% more |
| #25 |
Claude Sonnet 4.6
Anthropic
|
$0.008025 (rounded ~ $0.01) | ↑ 186.6% more |
| #26 |
Grok 4.3
xAI
|
$0.009200 | ↑ 228.6% more |
| #27 |
Grok 4.20 Beta
xAI
|
$0.009200 | ↑ 228.6% more |
| #28 |
Gemini 3.1 Pro
Google
|
$0.011200 (rounded ~ $0.01) | ↑ 300% more |
| #29 |
Claude Opus 4.7
Anthropic
|
$0.013375 (rounded ~ $0.01) | ↑ 377.7% more |
| #30 |
Claude Opus 5
Anthropic
|
$0.013375 (rounded ~ $0.01) | ↑ 377.7% more |
| #31 |
Claude Opus 4.8
Anthropic
|
$0.013375 (rounded ~ $0.01) | ↑ 377.7% more |
| #32 |
Claude Opus 4.6
Anthropic
|
$0.013375 (rounded ~ $0.01) | ↑ 377.7% more |
| #33 |
GPT-5.4
OpenAI
|
$0.014000 (rounded ~ $0.01) | ↑ 400% more |
| #34 |
GPT-5.4 Thinking
OpenAI
|
$0.014000 (rounded ~ $0.01) | ↑ 400% more |
| #35 |
GPT-5.5 Instant
OpenAI
|
$0.014000 (rounded ~ $0.01) | ↑ 400% more |
| #36 |
GPT-5.6 Sol
OpenAI
|
$0.014000 (rounded ~ $0.01) | ↑ 400% more |
| #37 |
o3 Deep Research
OpenAI
|
$0.025500 (rounded ~ $0.03) | ↑ 810.7% more |
| #38 |
Claude Fable 5.1
Anthropic
|
$0.026375 (rounded ~ $0.03) | ↑ 842% more |
| #39 |
Claude Mythos 5.1
Anthropic
|
$0.026375 (rounded ~ $0.03) | ↑ 842% more |
| #40 |
Claude Fable 5
Anthropic
|
$0.026750 (rounded ~ $0.03) | ↑ 855.4% more |
| #41 |
Claude Mythos 5
Anthropic
|
$0.026750 (rounded ~ $0.03) | ↑ 855.4% more |
| #42 |
GPT-5.5
OpenAI
|
$0.028000 (rounded ~ $0.03) | ↑ 900% more |
| #43 |
o3 Pro
OpenAI
|
$0.051000 (rounded ~ $0.05) | ↑ 1721.4% more |
| #44 |
GPT-6 Astra
OpenAI
|
$0.053500 (rounded ~ $0.05) | ↑ 1810.7% more |
| #45 |
GPT-5.2 Pro
OpenAI
|
$0.064050 (rounded ~ $0.06) | ↑ 2187.5% more |
| #46 |
GPT-5.2 Pro
OpenAI
|
$0.064050 (rounded ~ $0.06) | ↑ 2187.5% more |
Mistral Small 3 Mistral AI
Voxtral Small 24B Mistral AI
Devstral Small 2 Mistral AI
Ministral 3 (14B) Mistral AI
Gemini 3.1 Flash Lite Google
Nemotron 3 Super NVIDIA
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Devstral 2 Mistral AI
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
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Magistral Medium Mistral AI
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
o3 Deep Research OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
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
For a 20-person startup managing a 10K subscriber list, the ability to generate unique, personalized content at scale is a competitive differentiator. Gemini 3.1 Flash is specifically optimized for high-throughput, low-latency tasks, making it a natural fit for newsletter pipelines where you need to balance speed with a conversational tone. Unlike heavier models, it provides the efficiency required to process thousands of distinct prompt variations without introducing significant delays in your deployment pipeline.
When choosing this model, consider the balance between strict instruction following and creative flexibility. For newsletter intros, you often need the model to maintain brand voice while adapting to specific subscriber data points. Gemini 3.1 Flash excels here by handling structured data inputs—like subscriber demographics or purchase history—seamlessly alongside natural language instructions. This allows your team to move beyond templated emails into truly tailored communication.
Vendor lock-in is a consideration, but the model’s wide availability and robust API support make it a low-risk entry point for startups. If your newsletter requires advanced multimodal inputs, such as analyzing images for product recommendations, this model remains highly capable. For small teams, the focus should remain on integration ease and the ability to iterate on prompt strategies quickly without the overhead of massive, slower models that might be better reserved for more complex analysis tasks.