Llama 4 Maverick (400B) Meta AI 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.001200
Output: $0.001200
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 8,000 input tokens and 2,000 output tokens:
- Input Cost: $0.001200
- Output Cost: $0.001200
- Total Cost: $0.002400
- Cost per 1K tokens: $0.000240
- Tokens per dollar: 4,166,667 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 400 tokens per second and 150ms time to first token:
- Processing Time: 26.93 seconds
- Latency: 150 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 374 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Llama 4 Maverick (400B). Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.
Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to Llama 4 Maverick (400B)| Rank | AI Model & Provider | Total Cost | vs Llama 4 Maverick (400B) |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000824 Best Value | ↓ 65.7% cheaper |
| 🥈 |
Grok Code Fast 1
xAI
|
$0.003448 | ↑ 43.7% more |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.003560 | ↑ 48.3% more |
| #4 |
Mistral Large 3
Mistral AI
|
$0.004120 | ↑ 71.7% more |
| #5 |
Gemini 3.5 Flash-Lite
Google
|
$0.005672 (rounded ~ $0.01) | ↑ 136.3% more |
| #6 |
Gemini 2.5 Flash
Google
|
$0.005672 (rounded ~ $0.01) | ↑ 136.3% more |
| #7 |
Grok Build 0.1
xAI
|
$0.006240 (rounded ~ $0.01) | ↑ 160% more |
| #8 |
Gemini 3.1 Flash
Google
|
$0.007120 (rounded ~ $0.01) | ↑ 196.7% more |
| #9 |
Kimi K2.5
Moonshot AI
|
$0.007613 (rounded ~ $0.01) | ↑ 217.2% more |
| #10 |
Grok 4.3
xAI
|
$0.007800 (rounded ~ $0.01) | ↑ 225% more |
| #11 |
Grok 4.20 Beta
xAI
|
$0.007800 (rounded ~ $0.01) | ↑ 225% more |
| #12 |
Gemini 3.8 Flash
Google
|
$0.009180 | ↑ 282.5% more |
| #13 |
o4-mini Deep Research
OpenAI
|
$0.010240 | ↑ 326.7% more |
| #14 |
Kimi K2.6
Moonshot AI
|
$0.010554 | ↑ 339.7% more |
| #15 |
Kimi K2.7 Code
Moonshot AI
|
$0.010554 | ↑ 339.7% more |
| #16 |
GPT-5.4 mini
OpenAI
|
$0.010680 | ↑ 345% more |
| #17 |
o4-mini
OpenAI
|
$0.011264 (rounded ~ $0.01) | ↑ 369.3% more |
| #18 |
Claude Haiku 4.5
Anthropic
|
$0.012240 (rounded ~ $0.01) | ↑ 410% more |
| #19 |
GPT-5.6 Luna
OpenAI
|
$0.014240 (rounded ~ $0.01) | ↑ 493.3% more |
| #20 |
Grok 4.6
xAI
|
$0.016480 (rounded ~ $0.02) | ↑ 586.7% more |
| #21 |
Grok 4.5
xAI
|
$0.016480 (rounded ~ $0.02) | ↑ 586.7% more |
| #22 |
Gemini 3.6 Flash
Google
|
$0.018360 (rounded ~ $0.02) | ↑ 665% more |
| #23 |
Gemini 3.5 Flash
Google
|
$0.021360 (rounded ~ $0.02) | ↑ 790% more |
| #24 |
Gemini 2.5 Pro
Google
|
$0.022800 (rounded ~ $0.02) | ↑ 850% more |
| #25 |
Claude Sonnet 5
Anthropic
|
$0.024480 (rounded ~ $0.02) | ↑ 920% more |
| #26 |
Gemini 3.1 Pro
Google
|
$0.028480 (rounded ~ $0.03) | ↑ 1086.7% more |
| #27 |
GPT-5.3 Codex Spark
OpenAI
|
$0.031920 (rounded ~ $0.03) | ↑ 1230% more |
| #28 |
GPT-5.3 Instant
OpenAI
|
$0.031920 (rounded ~ $0.03) | ↑ 1230% more |
| #29 |
GPT-5.4
OpenAI
|
$0.035600 (rounded ~ $0.04) | ↑ 1383.3% more |
| #30 |
GPT-5.4 Thinking
OpenAI
|
$0.035600 (rounded ~ $0.04) | ↑ 1383.3% more |
| #31 |
GPT-5.6 Terra
OpenAI
|
$0.035600 (rounded ~ $0.04) | ↑ 1383.3% more |
| #32 |
Claude Sonnet 4.6
Anthropic
|
$0.036720 (rounded ~ $0.04) | ↑ 1430% more |
| #33 |
Claude Opus 4.7
Anthropic
|
$0.061200 (rounded ~ $0.06) | ↑ 2450% more |
| #34 |
Claude Opus 5
Anthropic
|
$0.061200 (rounded ~ $0.06) | ↑ 2450% more |
| #35 |
Claude Opus 4.8
Anthropic
|
$0.061200 (rounded ~ $0.06) | ↑ 2450% more |
| #36 |
Claude Opus 4.6
Anthropic
|
$0.061200 (rounded ~ $0.06) | ↑ 2450% more |
| #37 |
GPT-5.5
OpenAI
|
$0.071200 (rounded ~ $0.07) | ↑ 2866.7% more |
| #38 |
GPT-5.5 Instant
OpenAI
|
$0.071200 (rounded ~ $0.07) | ↑ 2866.7% more |
| #39 |
GPT-5.6 Sol
OpenAI
|
$0.071200 (rounded ~ $0.07) | ↑ 2866.7% more |
| #40 |
o3 Deep Research
OpenAI
|
$0.102400 (rounded ~ $0.10) | ↑ 4166.7% more |
| #41 |
Claude Fable 5.1
Anthropic
|
$0.117600 (rounded ~ $0.12) | ↑ 4800% more |
| #42 |
Claude Mythos 5.1
Anthropic
|
$0.117600 (rounded ~ $0.12) | ↑ 4800% more |
| #43 |
Claude Fable 5
Anthropic
|
$0.122400 (rounded ~ $0.12) | ↑ 5000% more |
| #44 |
Claude Mythos 5
Anthropic
|
$0.122400 (rounded ~ $0.12) | ↑ 5000% more |
| #45 |
GPT-6 Astra
OpenAI
|
$0.122400 (rounded ~ $0.12) | ↑ 5000% more |
| #46 |
o3 Pro
OpenAI
|
$0.204800 (rounded ~ $0.20) | ↑ 8433.3% more |
| #47 |
GPT-5.2 Pro
OpenAI
|
$0.383040 (rounded ~ $0.38) | ↑ 15860% more |
| #48 |
GPT-5.2 Pro
OpenAI
|
$0.383040 (rounded ~ $0.38) | ↑ 15860% 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
Grok Build 0.1 xAI
Gemini 3.1 Flash Google
Kimi K2.5 Moonshot AI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.8 Flash Google
o4-mini Deep Research OpenAI
Kimi K2.6 Moonshot AI
Kimi K2.7 Code Moonshot AI
GPT-5.4 mini OpenAI
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 3.5 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
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-6 Astra OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Optimizing AI Spend for Growing SaaS
For a growing SaaS product, managing operational costs is crucial, especially when integrating AI for customer support. Leveraging open-weight models like Llama 4 Maverick can offer significant advantages for founders prioritizing value and flexibility.
Llama 4 Maverick, with its substantial context window, is well-suited for multi-turn customer support conversations where retaining a detailed history is beneficial for providing accurate assistance. Its open-nature allows for deeper customization and avoids vendor lock-in, which can be a strategic win for early-stage companies.
This model provides a strong balance between performance and cost-effectiveness, making it a prime candidate for building an MVP that can scale. Founders can expect robust conversational abilities that handle complex queries and maintain context over extended dialogues, all while benefiting from a potentially lower total cost of ownership compared to proprietary models at similar performance tiers.
When planning your AI budget, models like Llama 4 Maverick enable you to deliver high-quality customer experiences without the premium price tag, allowing resources to be allocated to other critical areas of product development.