Independent AI stack intelligence
The Right AI Stack,Proven by Data.
Start with the decision, then inspect the evidence.
Compare 16 AI models and 16 cloud providers by cost, speed, context, reliability, and workload fit before you build.
Model universe
16 AI models
Infrastructure universe
16 cloud & inference providers
STACKOPTIMA AI Advisor
A decision you can examine.
Define your workload. See the cost, the evidence, and what still needs proving.
Fill the numbered questions by voice Optional
One answer at a time. For choices, say the option number. For amounts, say a number, such as “10000” or “10 thousand”. Clear answers fill the fields automatically; unclear answers leave the existing field unchanged. You will review and confirm all fields before receiving a report.
Voice recognition is unavailable in this browser. All questions can be completed with the form below.
Your requirements come first.
Review the example values, then request your report. You will see a traceable cost calculation, a conditional shortlist and a tailored validation plan.
Comparable evidence
Models and cloud, on one operating frame.
Scan the decisive fields first. Internal record IDs appear only inside these detailed tables and never imply rank.
| Model | Input / 1M | Output / 1M | Sample score | Sample speed | Context | Sample latency | Sample reliability | Best for | Source |
|---|---|---|---|---|---|---|---|---|---|
M01 | $2.50 | $10.00 | 91 | 87 t/s | 128K | 0.48s | 99.95% | Multimodal products | Official |
M02 | $0.15 | $0.60 | 79 | 94 t/s | 128K | 0.26s | 99.92% | High-volume automation | Official |
M03 | $3.00 | $15.00 | 93 | 82 t/s | 200K | 0.57s | 99.94% | Reasoning and code | Official |
M04 | $0.25 | $1.25 | 80 | 96 t/s | 200K | 0.21s | 99.91% | Fast assistants | Official |
M05 | $1.25 | $5.00 | 92 | 85 t/s | 2M | 0.44s | 99.93% | Long-context analysis | Official |
M06 | $0.10 | $0.40 | 82 | 98 t/s | 1M | 0.18s | 99.9% | Realtime pipelines | Official |
M07 | $0.27 | $1.10 | 89 | 90 t/s | 128K | 0.31s | 99.82% | Cost-sensitive reasoning | Official |
M08 | $0.55 | $2.19 | 94 | 67 t/s | 128K | 0.82s | 99.79% | Deep reasoning | Official |
M09 Llama 3.1 405B HostedMeta | $2.70 | $2.70 | 88 | 70 t/s | 128K | 0.69s | 99.84% | Open-weight control | Official |
M10 Llama 3.1 70B HostedMeta | $0.88 | $0.88 | 84 | 88 t/s | 128K | 0.36s | 99.86% | Private deployments | Official |
M11 | $2.00 | $6.00 | 87 | 83 t/s | 128K | 0.46s | 99.87% | European workloads | Official |
M12 | $2.50 | $10.00 | 85 | 81 t/s | 128K | 0.51s | 99.89% | Enterprise RAG | Official |
M13 | $3.00 | $15.00 | 90 | 78 t/s | 131K | 0.61s | 99.83% | Realtime knowledge | Official |
M14 | $1.00 | $1.00 | 86 | 84 t/s | 127K | 0.43s | 99.88% | Search-grounded answers | Official |
M15 | $0.50 | $1.50 | 86 | 80 t/s | Varies | 0.55s | 99.8% | Multi-model routing | Official |
M16 | $3.00 | $15.00 | 91 | 76 t/s | 1M | 0.64s | 99.84% | Long-horizon coding and reasoning | Official |
Performance matrix
See the trade-off, not just the headline.
Every dot is a model profile. Position reflects sample cost and intelligence; circles keep one size so the brand marks stay comparable at a glance.
Example insightMove the output-share control to see how blended token costs change. Scores are sample inputs; score ratios do not measure relative intelligence.
Decision method
Start with the workload. Then test the stack.
Traffic, modality, region, privacy, context, and reliability targets come before the model name.
Separate token spend, inference compute, data transfer, storage, and operational overhead.
Use STACKOPTIMA to narrow the field, then validate quality and latency with representative tasks.
Insights
Make the next decision with better evidence.
Start With the Workload, Not the Model
A practical brief turns an overwhelming model market into a testable shortlist.
Evaluation · 3 minFive Core Dimensions of an AI Stack Decision
Read cost, capability, speed, context, and latency with reliability as the operating constraint.
Economics · 3 minThe Token Price Is Only the Beginning
Build an AI cost model that includes accepted work, infrastructure, and operating effort.