Sample intelligence ceiling94 / 100
Avg. token cost$1.48 / $5.48
Sample median latency0.48 sec
Context leader2M tokens
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Decision universe32 independent records
16 AI models
16 cloud & inference providers
Inspect the full catalog

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.

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.

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Data layer prepared27 first-party sources registeredProcess-memory refresh activeInspect source registry
ModelInput / 1MOutput / 1MSample scoreSample speedContextSample latencySample reliabilityBest forSource
M01
GPT-4oOpenAI
$2.50$10.009187 t/s128K0.48s99.95%Multimodal productsOfficial
M02
GPT-4o miniOpenAI
$0.15$0.607994 t/s128K0.26s99.92%High-volume automationOfficial
M03
Claude SonnetAnthropic
$3.00$15.009382 t/s200K0.57s99.94%Reasoning and codeOfficial
M04
Claude HaikuAnthropic
$0.25$1.258096 t/s200K0.21s99.91%Fast assistantsOfficial
M05
Gemini ProGoogle
$1.25$5.009285 t/s2M0.44s99.93%Long-context analysisOfficial
M06
Gemini FlashGoogle
$0.10$0.408298 t/s1M0.18s99.9%Realtime pipelinesOfficial
M07
DeepSeek V3DeepSeek
$0.27$1.108990 t/s128K0.31s99.82%Cost-sensitive reasoningOfficial
M08
DeepSeek R1DeepSeek
$0.55$2.199467 t/s128K0.82s99.79%Deep reasoningOfficial
M09
Llama 3.1 405B HostedMeta
$2.70$2.708870 t/s128K0.69s99.84%Open-weight controlOfficial
M10
Llama 3.1 70B HostedMeta
$0.88$0.888488 t/s128K0.36s99.86%Private deploymentsOfficial
M11
Mistral LargeMistral AI
$2.00$6.008783 t/s128K0.46s99.87%European workloadsOfficial
M12
Cohere CommandCohere
$2.50$10.008581 t/s128K0.51s99.89%Enterprise RAGOfficial
M13
GrokxAI
$3.00$15.009078 t/s131K0.61s99.83%Realtime knowledgeOfficial
M14
Perplexity AI ModelsPerplexity
$1.00$1.008684 t/s127K0.43s99.88%Search-grounded answersOfficial
M15
OpenRouter Aggregated ModelsOpenRouter
$0.50$1.508680 t/sVaries0.55s99.8%Multi-model routingOfficial
M16
Kimi K3Moonshot AI
$3.00$15.009176 t/s1M0.64s99.84%Long-horizon coding and reasoningOfficial

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.

Cost position Intelligence position

Example insightMove the output-share control to see how blended token costs change. Scores are sample inputs; score ratios do not measure relative intelligence.

Sample score · 70–100Blended $/1M tokens →

Decision method

Start with the workload. Then test the stack.

WorkloadDefine the real operating pattern.

Traffic, modality, region, privacy, context, and reliability targets come before the model name.

EconomicsModel the complete monthly cost.

Separate token spend, inference compute, data transfer, storage, and operational overhead.

ValidationBenchmark the shortlist on your data.

Use STACKOPTIMA to narrow the field, then validate quality and latency with representative tasks.

Insights

Make the next decision with better evidence.

All 10 guides
Strategy · 3 min

Start With the Workload, Not the Model

A practical brief turns an overwhelming model market into a testable shortlist.

Evaluation · 3 min

Five Core Dimensions of an AI Stack Decision

Read cost, capability, speed, context, and latency with reliability as the operating constraint.

Economics · 3 min

The Token Price Is Only the Beginning

Build an AI cost model that includes accepted work, infrastructure, and operating effort.