Gemini 3.5 Flash Google 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.002250
Output: $0.002250
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Resolution: Medium
Tokens: 258,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 1,000 output tokens:
- Input Cost: $0.115500 (rounded ~ $0.12)
- Output Cost: $0.002250
- Total Cost: $0.096960 (rounded ~ $0.10)
- Cost per 1K tokens: $0.000314
- Tokens per dollar: 3,186,881 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: 6 minutes, 21.89 seconds
- Latency: 90 milliseconds to first token
- Base Throughput: 850 tokens/second
- Effective Throughput: 810 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for Gemini 3.5 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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💰 Total Cost Calculation (from Plugin)
Output: $0.001125
Output: $0.001125
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Resolution: Medium
Tokens: 258,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 1,000 output tokens:
- Input Cost: $0.057750 (rounded ~ $0.06)
- Output Cost: $0.001125
- Total Cost: $0.048480 (rounded ~ $0.05)
- Cost per 1K tokens: $0.000157
- Tokens per dollar: 6,373,762 tokens
- Context Window: 400000 tokens
Speed & Performance Analysis
With a processing speed of 500 tokens per second and 180ms time to first token:
- Processing Time: 10 minutes, 49.08 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 476 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for GPT-5.4 mini. 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 3.5 Flash| Rank | AI Model & Provider | Total Cost | vs Gemini 3.5 Flash | vs GPT-5.4 mini |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.006389 (rounded ~ $0.01) Best Value | ↓ 93.4% cheaper | ↓ 86.8% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.016160 (rounded ~ $0.02) | ↓ 83.3% cheaper | ↓ 66.7% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.019567 | ↓ 79.8% cheaper | ↓ 59.6% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.019567 | ↓ 79.8% cheaper | ↓ 59.6% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.032195 (rounded ~ $0.03) | ↓ 66.8% cheaper | ↓ 33.6% cheaper |
| #6 |
Gemini 3.8 Flash
Google
|
$0.048293 (rounded ~ $0.05) | ↓ 50.2% cheaper | ↓ 0.4% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.048480 (rounded ~ $0.05) | ↓ 50% cheaper | Same price |
| #8 |
o4-mini Deep Research
OpenAI
|
$0.064140 (rounded ~ $0.06) | ↓ 33.8% cheaper | ↑ 32.3% more |
| #9 |
Claude Haiku 4.5
Anthropic
|
$0.064390 (rounded ~ $0.06) | ↓ 33.6% cheaper | ↑ 32.8% more |
| #10 |
GPT-5.6 Luna
OpenAI
|
$0.064640 (rounded ~ $0.06) | ↓ 33.3% cheaper | ↑ 33.3% more |
| #11 |
o4-mini
OpenAI
|
$0.070554 | ↓ 27.2% cheaper | ↑ 45.5% more |
| #12 |
Gemini 3.6 Flash
Google
|
$0.096585 (rounded ~ $0.10) | ↓ 0.4% cheaper | ↑ 99.2% more |
| #13 |
GPT-5.3 Codex Spark
OpenAI
|
$0.113995 (rounded ~ $0.11) | ↑ 17.6% more | ↑ 135.1% more |
| #14 |
GPT-5.3 Instant
OpenAI
|
$0.113995 (rounded ~ $0.11) | ↑ 17.6% more | ↑ 135.1% more |
| #15 |
Claude Sonnet 5
Anthropic
|
$0.128780 (rounded ~ $0.13) | ↑ 32.8% more | ↑ 165.6% more |
| #16 |
Gemini 3.1 Flash
Google
|
$0.129280 | ↑ 33.3% more | ↑ 166.7% more |
| #17 |
GPT-5.6 Terra
OpenAI
|
$0.161600 (rounded ~ $0.16) | ↑ 66.7% more | ↑ 233.3% more |
| #18 |
Claude Sonnet 4.6
Anthropic
|
$0.193170 (rounded ~ $0.19) | ↑ 99.2% more | ↑ 298.5% more |
| #19 |
Claude Opus 4.7
Anthropic
|
$0.321950 (rounded ~ $0.32) | ↑ 232% more | ↑ 564.1% more |
| #20 |
Claude Opus 5
Anthropic
|
$0.321950 (rounded ~ $0.32) | ↑ 232% more | ↑ 564.1% more |
| #21 |
Claude Opus 4.8
Anthropic
|
$0.321950 (rounded ~ $0.32) | ↑ 232% more | ↑ 564.1% more |
| #22 |
Claude Opus 4.6
Anthropic
|
$0.321950 (rounded ~ $0.32) | ↑ 232% more | ↑ 564.1% more |
| #23 |
Gemini 2.5 Pro
Google
|
$0.323200 (rounded ~ $0.32) | ↑ 233.3% more | ↑ 566.7% more |
| #24 |
GPT-5.5 Instant
OpenAI
|
$0.323200 (rounded ~ $0.32) | ↑ 233.3% more | ↑ 566.7% more |
| #25 |
GPT-5.6 Sol
OpenAI
|
$0.323200 (rounded ~ $0.32) | ↑ 233.3% more | ↑ 566.7% more |
| #26 |
Grok 4.3
xAI
|
$0.509120 | ↑ 425.1% more | ↑ 950.2% more |
| #27 |
Gemini 3.1 Pro
Google
|
$0.514120 (rounded ~ $0.51) | ↑ 430.2% more | ↑ 960.5% more |
| #28 |
Claude Fable 5.1
Anthropic
|
$0.632350 (rounded ~ $0.63) | ↑ 552.2% more | ↑ 1204.4% more |
| #29 |
Claude Mythos 5.1
Anthropic
|
$0.632350 (rounded ~ $0.63) | ↑ 552.2% more | ↑ 1204.4% more |
| #30 |
o3 Deep Research
OpenAI
|
$0.641400 (rounded ~ $0.64) | ↑ 561.5% more | ↑ 1223% more |
| #31 |
GPT-5.4
OpenAI
|
$0.642650 (rounded ~ $0.64) | ↑ 562.8% more | ↑ 1225.6% more |
| #32 |
GPT-5.4 Thinking
OpenAI
|
$0.642650 (rounded ~ $0.64) | ↑ 562.8% more | ↑ 1225.6% more |
| #33 |
Claude Fable 5
Anthropic
|
$0.643900 (rounded ~ $0.64) | ↑ 564.1% more | ↑ 1228.2% more |
| #34 |
Claude Mythos 5
Anthropic
|
$0.643900 (rounded ~ $0.64) | ↑ 564.1% more | ↑ 1228.2% more |
| #35 |
o3 Pro
OpenAI
|
$1.282800 (rounded ~ $1.28) | ↑ 1223% more | ↑ 2546% more |
| #36 |
GPT-5.5
OpenAI
|
$1.285300 (rounded ~ $1.29) | ↑ 1225.6% more | ↑ 2551.2% more |
| #37 |
GPT-5.2 Pro
OpenAI
|
$1.367940 (rounded ~ $1.37) | ↑ 1310.8% more | ↑ 2721.7% more |
| #38 |
GPT-6 Astra
OpenAI
|
$2.575600 (rounded ~ $2.58) | ↑ 2556.4% more | ↑ 5212.7% more |
| #39 |
GPT-6 Astra
OpenAI
|
$2.575600 (rounded ~ $2.58) | ↑ 2556.4% more | ↑ 5212.7% 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
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Gemini 3.6 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5 Anthropic
Gemini 3.1 Flash Google
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
Gemini 2.5 Pro Google
GPT-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
Grok 4.3 xAI
Gemini 3.1 Pro Google
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
o3 Deep Research OpenAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
o3 Pro OpenAI
GPT-5.5 OpenAI
GPT-5.2 Pro OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
For developers building storyboard tools, the choice between Gemini 3.5 Flash and GPT-5.4 mini often hinges on your specific multimodal pipeline requirements. Both models excel at vision-based tasks, making them ideal for interpreting rough sketches or generated storyboard frames. Gemini 3.5 Flash is particularly adept at handling multi-step agentic workflows where your app needs to do more than just caption; it can reason about the scene, suggest camera angles, or verify visual consistency across a sequence of frames. Its tight integration into Google’s agentic framework makes it a strong contender if your storyboard app plans to incorporate proactive planning agents.
GPT-5.4 mini, conversely, shines as a highly efficient, low-latency engine for high-volume batch processing. If your app’s primary value is rapid, repetitive captioning of large catalogs of frames, GPT-5.4 mini provides a balance of speed and reliability that is hard to beat. It is optimized for responsiveness, which is critical for a mobile experience where users expect near-instant feedback when they upload or generate content. While both models handle image inputs effectively, developers often find that Gemini 3.5 Flash offers slightly more nuance in visual interpretation for complex scenes, whereas GPT-5.4 mini is the superior choice for simple, high-throughput tasks where minimizing latency is the ultimate goal. Choosing between them depends on whether your app prioritizes deep visual reasoning or sheer execution speed.