Gemini 3.5 Flash Google 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.018000 (rounded ~ $0.02)
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 10,000 input tokens and 2,000 output tokens:
- Input Cost: $0.015000 (rounded ~ $0.02)
- Output Cost: $0.018000 (rounded ~ $0.02)
- Total Cost: $0.026250 (rounded ~ $0.03)
- Cost per 1K tokens: $0.002188
- Tokens per dollar: 457,143 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 850 tokens per second and 90ms time to first token:
- Processing Time: 15.29 seconds
- Latency: 90 milliseconds to first token
- Base Throughput: 850 tokens/second
- Effective Throughput: 794 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to Gemini 3.5 Flash| Rank | AI Model & Provider | Total Cost | vs Gemini 3.5 Flash |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001150 Best Value | ↓ 95.6% cheaper |
| 🥈 |
Grok Code Fast 1
xAI
|
$0.004100 | ↓ 84.4% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.004375 | ↓ 83.3% cheaper |
| #4 |
Mistral Large 3
Mistral AI
|
$0.005750 (rounded ~ $0.01) | ↓ 78.1% cheaper |
| #5 |
Gemini 3.5 Flash-Lite
Google
|
$0.006650 (rounded ~ $0.01) | ↓ 74.7% cheaper |
| #6 |
Gemini 2.5 Flash
Google
|
$0.006650 (rounded ~ $0.01) | ↓ 74.7% cheaper |
| #7 |
Gemini 3.1 Flash
Google
|
$0.008750 (rounded ~ $0.01) | ↓ 66.7% cheaper |
| #8 |
Grok Build 0.1
xAI
|
$0.009500 | ↓ 63.8% cheaper |
| #9 |
Kimi K2.5
Moonshot AI
|
$0.009510 | ↓ 63.8% cheaper |
| #10 |
Gemini 3.8 Flash
Google
|
$0.011625 (rounded ~ $0.01) | ↓ 55.7% cheaper |
| #11 |
Grok 4.3
xAI
|
$0.011875 (rounded ~ $0.01) | ↓ 54.8% cheaper |
| #12 |
Grok 4.20 Beta
xAI
|
$0.011875 (rounded ~ $0.01) | ↓ 54.8% cheaper |
| #13 |
GPT-5.4 mini
OpenAI
|
$0.013125 (rounded ~ $0.01) | ↓ 50% cheaper |
| #14 |
o4-mini Deep Research
OpenAI
|
$0.013500 (rounded ~ $0.01) | ↓ 48.6% cheaper |
| #15 |
Kimi K2.6
Moonshot AI
|
$0.013558 (rounded ~ $0.01) | ↓ 48.4% cheaper |
| #16 |
Kimi K2.7 Code
Moonshot AI
|
$0.013558 (rounded ~ $0.01) | ↓ 48.4% cheaper |
| #17 |
o4-mini
OpenAI
|
$0.014850 (rounded ~ $0.01) | ↓ 43.4% cheaper |
| #18 |
Claude Haiku 4.5
Anthropic
|
$0.015500 (rounded ~ $0.02) | ↓ 41% cheaper |
| #19 |
GPT-5.6 Luna
OpenAI
|
$0.017500 (rounded ~ $0.02) | ↓ 33.3% cheaper |
| #20 |
Grok 4.6
xAI
|
$0.023000 (rounded ~ $0.02) | ↓ 12.4% cheaper |
| #21 |
Grok 4.5
xAI
|
$0.023000 (rounded ~ $0.02) | ↓ 12.4% cheaper |
| #22 |
Gemini 3.6 Flash
Google
|
$0.023250 (rounded ~ $0.02) | ↓ 11.4% cheaper |
| #23 |
Gemini 2.5 Pro
Google
|
$0.026875 (rounded ~ $0.03) | ↑ 2.4% more |
| #24 |
Claude Sonnet 5
Anthropic
|
$0.031000 (rounded ~ $0.03) | ↑ 18.1% more |
| #25 |
Gemini 3.1 Pro
Google
|
$0.035000 (rounded ~ $0.04) | ↑ 33.3% more |
| #26 |
GPT-5.3 Codex Spark
OpenAI
|
$0.037625 (rounded ~ $0.04) | ↑ 43.3% more |
| #27 |
GPT-5.3 Instant
OpenAI
|
$0.037625 (rounded ~ $0.04) | ↑ 43.3% more |
| #28 |
GPT-5.4
OpenAI
|
$0.043750 (rounded ~ $0.04) | ↑ 66.7% more |
| #29 |
GPT-5.4 Thinking
OpenAI
|
$0.043750 (rounded ~ $0.04) | ↑ 66.7% more |
| #30 |
GPT-5.6 Terra
OpenAI
|
$0.043750 (rounded ~ $0.04) | ↑ 66.7% more |
| #31 |
Claude Sonnet 4.6
Anthropic
|
$0.046500 (rounded ~ $0.05) | ↑ 77.1% more |
| #32 |
Claude Opus 4.7
Anthropic
|
$0.077500 (rounded ~ $0.08) | ↑ 195.2% more |
| #33 |
Claude Opus 5
Anthropic
|
$0.077500 (rounded ~ $0.08) | ↑ 195.2% more |
| #34 |
Claude Opus 4.8
Anthropic
|
$0.077500 (rounded ~ $0.08) | ↑ 195.2% more |
| #35 |
Claude Opus 4.6
Anthropic
|
$0.077500 (rounded ~ $0.08) | ↑ 195.2% more |
| #36 |
GPT-5.5
OpenAI
|
$0.087500 (rounded ~ $0.09) | ↑ 233.3% more |
| #37 |
GPT-5.5 Instant
OpenAI
|
$0.087500 (rounded ~ $0.09) | ↑ 233.3% more |
| #38 |
GPT-5.6 Sol
OpenAI
|
$0.087500 (rounded ~ $0.09) | ↑ 233.3% more |
| #39 |
o3 Deep Research
OpenAI
|
$0.135000 (rounded ~ $0.14) | ↑ 414.3% more |
| #40 |
Claude Fable 5.1
Anthropic
|
$0.151250 (rounded ~ $0.15) | ↑ 476.2% more |
| #41 |
Claude Mythos 5.1
Anthropic
|
$0.151250 (rounded ~ $0.15) | ↑ 476.2% more |
| #42 |
GPT-6 Astra
OpenAI
|
$0.155000 (rounded ~ $0.16) | ↑ 490.5% more |
| #43 |
Claude Fable 5
Anthropic
|
$0.155000 (rounded ~ $0.16) | ↑ 490.5% more |
| #44 |
Claude Mythos 5
Anthropic
|
$0.155000 (rounded ~ $0.16) | ↑ 490.5% more |
| #45 |
o3 Pro
OpenAI
|
$0.270000 | ↑ 928.6% more |
| #46 |
GPT-5.2 Pro
OpenAI
|
$0.451500 (rounded ~ $0.45) | ↑ 1620% more |
| #47 |
GPT-5.2 Pro
OpenAI
|
$0.451500 (rounded ~ $0.45) | ↑ 1620% more |
Mistral Small 3 Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Mistral Large 3 Mistral AI
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.1 Flash Google
Grok Build 0.1 xAI
Kimi K2.5 Moonshot AI
Gemini 3.8 Flash Google
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Kimi K2.6 Moonshot AI
Kimi K2.7 Code Moonshot AI
o4-mini OpenAI
Claude Haiku 4.5 Anthropic
GPT-5.6 Luna OpenAI
Grok 4.6 xAI
Grok 4.5 xAI
Gemini 3.6 Flash Google
Gemini 2.5 Pro Google
Claude Sonnet 5 Anthropic
Gemini 3.1 Pro Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 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
GPT-6 Astra OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
For indie game developers and SaaS founders managing customer support, the primary challenge is balancing latency with contextual memory. When your AI NPC or support agent handles long-form, multi-turn conversations, it needs enough context to remember previous user inputs without hallucinating new details. Gemini 3.5 Flash is engineered for these high-throughput, low-latency environments where rapid response times are critical for user retention.
Why Gemini 3.5 Flash for Support
The core advantage here is the model’s ability to process large amounts of conversational history while maintaining a small footprint. Unlike larger reasoning models that might introduce slight delays, Gemini 3.5 Flash is optimized for the kind of consistent, rapid-fire interaction that defines a smooth user experience. This makes it an ideal candidate for agents that need to route queries, summarize past interactions, or handle simple administrative tasks without breaking the flow of conversation.
When planning your support infrastructure, prioritize models that handle streaming well. In an in-game or SaaS context, users expect immediate acknowledgement. Gemini 3.5 Flash integrates seamlessly with existing streaming protocols, allowing you to provide real-time updates as the model generates its response. This is essential for maintaining the illusion of a responsive, intelligent agent rather than a delayed database lookup. By focusing on models with high token throughput, you can scale your support operations without hitting the latency bottlenecks that often plague heavier, more logic-focused models.