Gemini 3.8 Flash Google 1048576
💰 Total Cost Calculation (from Plugin)
Output: $0.000469
Output: $0.000469
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 500 output tokens:
- Input Cost: $0.018750 (rounded ~ $0.02)
- Output Cost: $0.000469
- Total Cost: $0.010781
- Cost per 1K tokens: $0.000107
- Tokens per dollar: 9,321,739 tokens
- Context Window: 1048576 tokens
Speed & Performance Analysis
With a processing speed of 340 tokens per second and 105ms time to first token:
- Processing Time: 5 minutes, 16.46 seconds
- Latency: 105 milliseconds to first token
- Base Throughput: 340 tokens/second
- Effective Throughput: 318 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for Gemini 3.8 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: $0.002125
Output: $0.002125
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 500 output tokens:
- Input Cost: $0.125000 (rounded ~ $0.13)
- Output Cost: $0.002125
- Total Cost: $0.127125 (rounded ~ $0.13)
- Cost per 1K tokens: $0.001265
- Tokens per dollar: 790,560 tokens
- Context Window: 262144 tokens
Speed & Performance Analysis
With a processing speed of 320 tokens per second and 150ms time to first token:
- Processing Time: 5 minutes, 36.23 seconds
- Latency: 150 milliseconds to first token
- Base Throughput: 320 tokens/second
- Effective Throughput: 299 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Muse Spark 1.3. 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 3.8 Flash| Rank | AI Model & Provider | Total Cost | vs Gemini 3.8 Flash | vs Muse Spark 1.3 |
|---|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.002875 Best Value | ↓ 73.3% cheaper | ↓ 97.7% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.002875 | ↓ 73.3% cheaper | ↓ 97.7% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.002900 | ↓ 73.1% cheaper | ↓ 97.7% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.003625 | ↓ 66.4% cheaper | ↓ 97.1% cheaper |
| #5 |
Gemini 3.5 Flash-Lite
Google
|
$0.004438 | ↓ 58.8% cheaper | ↓ 96.5% cheaper |
| #6 |
Gemini 2.5 Flash
Google
|
$0.004438 | ↓ 58.8% cheaper | ↓ 96.5% cheaper |
| #7 |
Mistral Large 3
Mistral AI
|
$0.007063 (rounded ~ $0.01) | ↓ 34.5% cheaper | ↓ 94.4% cheaper |
| #8 |
Gemini 3.6 Flash
Google
|
$0.010781 | Same price | ↓ 91.5% cheaper |
| #9 |
GPT-5.4 mini
OpenAI
|
$0.010875 | ↑ 0.9% more | ↓ 91.4% cheaper |
| #10 |
Claude Haiku 4.5
Anthropic
|
$0.014375 (rounded ~ $0.01) | ↑ 33.3% more | ↓ 88.7% cheaper |
| #11 |
Gemini 3.1 Flash
Google
|
$0.014500 (rounded ~ $0.01) | ↑ 34.5% more | ↓ 88.6% cheaper |
| #12 |
Mistral Large 4
Mistral AI
|
$0.019223 | ↑ 78.3% more | ↓ 84.9% cheaper |
| #13 |
GPT-5.3 Codex Spark
OpenAI
|
$0.025813 (rounded ~ $0.03) | ↑ 139.4% more | ↓ 79.7% cheaper |
| #14 |
GPT-5.3 Instant
OpenAI
|
$0.025813 (rounded ~ $0.03) | ↑ 139.4% more | ↓ 79.7% cheaper |
| #15 |
Claude Sonnet 5.5
Anthropic
|
$0.027500 (rounded ~ $0.03) | ↑ 155.1% more | ↓ 78.4% cheaper |
| #16 |
Gemini 4 Argon
Google
|
$0.028750 (rounded ~ $0.03) | ↑ 166.7% more | ↓ 77.4% cheaper |
| #17 |
Claude Sonnet 5
Anthropic
|
$0.028750 (rounded ~ $0.03) | ↑ 166.7% more | ↓ 77.4% cheaper |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.029000 | ↑ 169% more | ↓ 77.2% cheaper |
| #19 |
Gemini 2.5 Pro
Google
|
$0.036875 (rounded ~ $0.04) | ↑ 242% more | ↓ 71% cheaper |
| #20 |
Claude Sonnet 4.6
Anthropic
|
$0.043125 (rounded ~ $0.04) | ↑ 300% more | ↓ 66.1% cheaper |
| #21 |
Claude Opus 5.5
Anthropic
|
$0.055000 (rounded ~ $0.06) | ↑ 410.1% more | ↓ 56.7% cheaper |
| #22 |
Grok 4.3
xAI
|
$0.056000 (rounded ~ $0.06) | ↑ 419.4% more | ↓ 55.9% cheaper |
| #23 |
Grok 4.20 Beta
xAI
|
$0.056000 (rounded ~ $0.06) | ↑ 419.4% more | ↓ 55.9% cheaper |
| #24 |
GPT-6.1 Sol
OpenAI
|
$0.057500 (rounded ~ $0.06) | ↑ 433.3% more | ↓ 54.8% cheaper |
| #25 |
GPT-6 Sol
OpenAI
|
$0.057500 (rounded ~ $0.06) | ↑ 433.3% more | ↓ 54.8% cheaper |
| #26 |
GPT-5.6 Sol
OpenAI
|
$0.057500 (rounded ~ $0.06) | ↑ 433.3% more | ↓ 54.8% cheaper |
| #27 |
Gemini 3.1 Pro
Google
|
$0.058000 (rounded ~ $0.06) | ↑ 438% more | ↓ 54.4% cheaper |
| #28 |
Claude Opus 4.7
Anthropic
|
$0.071875 (rounded ~ $0.07) | ↑ 566.7% more | ↓ 43.5% cheaper |
| #29 |
Claude Opus 5
Anthropic
|
$0.071875 (rounded ~ $0.07) | ↑ 566.7% more | ↓ 43.5% cheaper |
| #30 |
Claude Opus 4.8
Anthropic
|
$0.071875 (rounded ~ $0.07) | ↑ 566.7% more | ↓ 43.5% cheaper |
| #31 |
Claude Opus 4.6
Anthropic
|
$0.071875 (rounded ~ $0.07) | ↑ 566.7% more | ↓ 43.5% cheaper |
| #32 |
GPT-5.4
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 572.5% more | ↓ 43% cheaper |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 572.5% more | ↓ 43% cheaper |
| #34 |
GPT-5.5 Instant
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 572.5% more | ↓ 43% cheaper |
| #35 |
Claude Fable 5.1
Anthropic
|
$0.134375 (rounded ~ $0.13) | ↑ 1146.4% more | ↑ 5.7% more |
| #36 |
Claude Mythos 5.1
Anthropic
|
$0.134375 (rounded ~ $0.13) | ↑ 1146.4% more | ↑ 5.7% more |
| #37 |
Claude Fable 5
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 1233.3% more | ↑ 13.1% more |
| #38 |
Claude Mythos 5
Anthropic
|
$0.143750 (rounded ~ $0.14) | ↑ 1233.3% more | ↑ 13.1% more |
| #39 |
GPT-5.5
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↑ 1244.9% more | ↑ 14.1% more |
| #40 |
GPT-6 Astra
OpenAI
|
$0.287500 (rounded ~ $0.29) | ↑ 2566.7% more | ↑ 126.2% more |
| #41 |
GPT-5.2 Pro
OpenAI
|
$0.309750 | ↑ 2773% more | ↑ 143.7% more |
| #42 |
GPT-5.2 Pro
OpenAI
|
$0.309750 | ↑ 2773% more | ↑ 143.7% more |
Claude Haiku 5.5 Anthropic
GPT-6 Luna OpenAI
GPT-5.6 Luna OpenAI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.6 Flash Google
GPT-5.4 mini OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
Mistral Large 4 Mistral AI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5.5 Anthropic
Gemini 4 Argon Google
Claude Sonnet 5 Anthropic
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Claude Opus 5.5 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-6.1 Sol OpenAI
GPT-6 Sol OpenAI
GPT-5.6 Sol OpenAI
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
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
When evaluating models for internal knowledge base Q&A, the primary trade-off is often between the raw reasoning power of flagship models and the cost-efficiency required for scaling to larger teams. Both Gemini 3.8 Flash and Muse Spark 1.3 offer compelling value for 100K-token workloads, but they excel in different areas. Gemini 3.8 Flash is a highly versatile workhorse, particularly suited for multimodal environments where your internal knowledge base might include not just text documents, but also embedded charts, diagrams, or even video transcripts from company meetings. Its ability to process these inputs natively provides a distinct advantage in search-heavy applications where employees are looking for information locked in non-text formats.
In contrast, Muse Spark 1.3 is an excellent choice for teams focused on pure text-based reasoning and structured analysis. If your knowledge base is primarily composed of lengthy policy documents, standard operating procedures, or technical manuals, this model offers a highly efficient path to accurate answers without the overhead of unnecessary multimodal features. It excels in tasks that demand consistent, predictable logic, making it a strong contender for strictly text-driven Q&A systems. Choosing between them often comes down to your content mix: opt for Gemini 3.8 Flash if your repository is rich with media and diverse data types, or select Muse Spark 1.3 if your focus is on high-performance text reasoning. Both models provide the scalability necessary to keep costs manageable as your internal Q&A system grows across the organization.