Gemini 3.6 Flash Google 1048576
💰 Total Cost Calculation (from Plugin)
Output: $0.003750
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 10,000 input tokens and 2,000 output tokens:
- Input Cost: $0.003750
- Output Cost: $0.003750
- Total Cost: $0.005813 (rounded ~ $0.01)
- Cost per 1K tokens: $0.000484
- Tokens per dollar: 2,064,516 tokens
- Context Window: 1048576 tokens
Speed & Performance Analysis
With a processing speed of 304 tokens per second and 120ms time to first token:
- Processing Time: 42.42 seconds
- Latency: 120 milliseconds to first token
- Base Throughput: 304 tokens/second
- Effective Throughput: 284 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for Gemini 3.6 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: $0.002250
Output: $0.002250
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 10,000 input tokens and 2,000 output tokens:
- Input Cost: $0.001875
- Output Cost: $0.002250
- Total Cost: $0.003281
- Cost per 1K tokens: $0.000273
- Tokens per dollar: 3,657,143 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: 25.86 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 467 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 3.6 Flash| Rank | AI Model & Provider | Total Cost | vs Gemini 3.6 Flash | vs GPT-5.4 mini |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000288 Best Value | ↓ 95.1% cheaper | ↓ 91.2% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.001094 | ↓ 81.2% cheaper | ↓ 66.7% cheaper |
| 🥉 |
Mistral Large 3
Mistral AI
|
$0.001438 | ↓ 75.3% cheaper | ↓ 56.2% cheaper |
| #4 |
Gemini 3.5 Flash-Lite
Google
|
$0.001663 | ↓ 71.4% cheaper | ↓ 49.3% cheaper |
| #5 |
Gemini 2.5 Flash
Google
|
$0.001663 | ↓ 71.4% cheaper | ↓ 49.3% cheaper |
| #6 |
Gemini 3.8 Flash
Google
|
$0.002906 | ↓ 50% cheaper | ↓ 11.4% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.003281 | ↓ 43.5% cheaper | Same price |
| #8 |
o4-mini Deep Research
OpenAI
|
$0.003375 | ↓ 41.9% cheaper | ↑ 2.9% more |
| #9 |
o4-mini
OpenAI
|
$0.003713 | ↓ 36.1% cheaper | ↑ 13.1% more |
| #10 |
Claude Haiku 4.5
Anthropic
|
$0.003875 | ↓ 33.3% cheaper | ↑ 18.1% more |
| #11 |
Gemini 3.1 Flash
Google
|
$0.004375 | ↓ 24.7% cheaper | ↑ 33.3% more |
| #12 |
GPT-5.6 Luna
OpenAI
|
$0.004375 | ↓ 24.7% cheaper | ↑ 33.3% more |
| #13 |
Gemini 3.5 Flash
Google
|
$0.006563 (rounded ~ $0.01) | ↑ 12.9% more | ↑ 100% more |
| #14 |
Claude Sonnet 5
Anthropic
|
$0.007750 (rounded ~ $0.01) | ↑ 33.3% more | ↑ 136.2% more |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$0.009406 | ↑ 61.8% more | ↑ 186.7% more |
| #16 |
GPT-5.3 Instant
OpenAI
|
$0.009406 | ↑ 61.8% more | ↑ 186.7% more |
| #17 |
Grok 4.3
xAI
|
$0.009500 | ↑ 63.4% more | ↑ 189.5% more |
| #18 |
Grok 4.20 Beta
xAI
|
$0.009500 | ↑ 63.4% more | ↑ 189.5% more |
| #19 |
GPT-5.6 Terra
OpenAI
|
$0.010938 | ↑ 88.2% more | ↑ 233.3% more |
| #20 |
Claude Sonnet 4.6
Anthropic
|
$0.011625 (rounded ~ $0.01) | ↑ 100% more | ↑ 254.3% more |
| #21 |
Gemini 2.5 Pro
Google
|
$0.013438 (rounded ~ $0.01) | ↑ 131.2% more | ↑ 309.5% more |
| #22 |
Gemini 3.1 Pro
Google
|
$0.017500 (rounded ~ $0.02) | ↑ 201.1% more | ↑ 433.3% more |
| #23 |
Claude Opus 4.7
Anthropic
|
$0.019375 | ↑ 233.3% more | ↑ 490.5% more |
| #24 |
Claude Opus 5
Anthropic
|
$0.019375 | ↑ 233.3% more | ↑ 490.5% more |
| #25 |
Claude Opus 4.8
Anthropic
|
$0.019375 | ↑ 233.3% more | ↑ 490.5% more |
| #26 |
Claude Opus 4.6
Anthropic
|
$0.019375 | ↑ 233.3% more | ↑ 490.5% more |
| #27 |
GPT-5.4
OpenAI
|
$0.021875 (rounded ~ $0.02) | ↑ 276.3% more | ↑ 566.7% more |
| #28 |
GPT-5.4 Thinking
OpenAI
|
$0.021875 (rounded ~ $0.02) | ↑ 276.3% more | ↑ 566.7% more |
| #29 |
GPT-5.5 Instant
OpenAI
|
$0.021875 (rounded ~ $0.02) | ↑ 276.3% more | ↑ 566.7% more |
| #30 |
GPT-5.6 Sol
OpenAI
|
$0.021875 (rounded ~ $0.02) | ↑ 276.3% more | ↑ 566.7% more |
| #31 |
o3 Deep Research
OpenAI
|
$0.033750 (rounded ~ $0.03) | ↑ 480.6% more | ↑ 928.6% more |
| #32 |
Claude Fable 5.1
Anthropic
|
$0.037813 (rounded ~ $0.04) | ↑ 550.5% more | ↑ 1052.4% more |
| #33 |
Claude Mythos 5.1
Anthropic
|
$0.037813 (rounded ~ $0.04) | ↑ 550.5% more | ↑ 1052.4% more |
| #34 |
Claude Fable 5
Anthropic
|
$0.038750 (rounded ~ $0.04) | ↑ 566.7% more | ↑ 1081% more |
| #35 |
Claude Mythos 5
Anthropic
|
$0.038750 (rounded ~ $0.04) | ↑ 566.7% more | ↑ 1081% more |
| #36 |
GPT-5.5
OpenAI
|
$0.043750 (rounded ~ $0.04) | ↑ 652.7% more | ↑ 1233.3% more |
| #37 |
o3 Pro
OpenAI
|
$0.067500 (rounded ~ $0.07) | ↑ 1061.3% more | ↑ 1957.1% more |
| #38 |
GPT-6 Astra
OpenAI
|
$0.077500 (rounded ~ $0.08) | ↑ 1233.3% more | ↑ 2261.9% more |
| #39 |
GPT-5.2 Pro
OpenAI
|
$0.112875 (rounded ~ $0.11) | ↑ 1841.9% more | ↑ 3340% more |
| #40 |
GPT-5.2 Pro
OpenAI
|
$0.112875 (rounded ~ $0.11) | ↑ 1841.9% more | ↑ 3340% more |
Mistral Small 3 Mistral AI
Gemini 3.1 Flash Lite Google
Mistral Large 3 Mistral AI
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
o4-mini OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Gemini 2.5 Pro Google
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
When scaling marketing copy A/B testing to 10,000 token variations, choosing between Gemini 3.6 Flash and GPT-5.4 mini comes down to your primary bottleneck. Gemini 3.6 Flash shines in multimodal-heavy environments; if your campaign variations require the model to ingest visual assets or charts to inform the copy, this model provides a cohesive, integrated pipeline. Its architecture is tuned for rapid, high-throughput tasks, making it an excellent choice for teams that need to iterate on visual-textual consistency without incurring the latency penalties of larger frontier models. In contrast, GPT-5.4 mini is optimized for lean, text-centric agentic loops. If your marketing engine relies on structured API calls to generate and refine headlines or ad body copy in rapid succession, the efficiency and speed of this model are difficult to beat. It is particularly adept at handling complex instruction sets in a single pass, which is a significant advantage when the goal is to maintain specific brand constraints across thousands of variations. Engineers should evaluate whether their workload prioritizes the visual context-awareness of Gemini or the raw, text-based reasoning density of GPT-5.4 mini. Both models offer reliable performance at this scale, ensuring that your IVR or voice agent backends maintain sub-second response times while delivering high-quality, varied marketing content to your audience.