LLM provider comparisons
61 head-to-head comparisons of major LLM providers — pricing, latency, context, BYOK. Pick the right model for your workload, then route both via VerticalAPI.
LangGraph vs CrewAI vs AutoGen
How the two caching models compare
Claude vs Gemini head-to-head
Claude vs Mistral Large 2.5 for agents
Enterprise LLM hosting head-to-head
Pricing, features, and Claude availability
Microsoft vs Google enterprise LLM
Top coders ranked: SWE-Bench, price, latency
Best LLM for enterprise: comparison of top 3-5 providers (2026)
French and multilingual production picks
Top models for tool use and structured output in 2026
2M tokens, 1M tokens, and when context replaces retrieval
Generation models for retrieval pipelines
Best LLM for startups: comparison of top 3-5 providers (2026)
Best LLM for vision: comparison of top 3-5 providers (2026)
Flat fee vs 5.5% on credits — break-even is ~$891/month
Wafer-scale vs flexible inference
Wafer-scale vs serverless GPU on Llama
Bottom-tier price-per-token compared
Direct head-to-head on price-per-token
Cheap models for agent subtasks
Frontier coding showdown: SWE-Bench, price, and agent loop quality
Sonnet 4.5 vs Gemini 2.5 Pro: production trade-offs
Sonnet 5 vs Command A: 128K output vs native citations
128K vs 200K vs 1M vs 2M tokens
Full 2026 generation pricing matrix
Enterprise model training compared
Mistral and the European LLM landscape
Fastest LLM for realtime: comparison of top 3-5 providers (2026)
Function calling vs community models on per-second billing
Gemini 2.5 Pro vs Mistral Large 2.5: long-context vs EU sovereign
Two frontier reasoning models
Who's the fastest LLM provider in 2026?
Specialized LPU vs commodity GPU inference for open models
LPU vs GPU serverless inference
LPU speed vs open-weight breadth
GPU cloud + API vs ultra-cheap open inference
Enterprise LLM inference: pricing, deployments, latency
Llama vs Mistral: open-weights showdown for production teams
Beyond generative LLMs
Train your own generation model
LLM Rate Limits Compared (2026)
Vendor platform comparison
Which Mistral model to pick?
Mistral Large 3 vs Command A: open weights vs native citations
Mistral Large 2.5 vs Llama 3.3: EU sovereign vs open weights
Self-hosted vs serverless inference
OctoAI vs Fireworks: 2026 comparison
Self-host or stay on managed APIs
GPT-4o vs Claude Sonnet 4.5 direct head-to-head
GPT-5.6 vs Command A: same input price, 16x the output ceiling
GPT-4o vs Gemini 2.5 Pro
GPT-4o vs Mistral Large 2.5
OpenRouter vs VerticalAPI: aggregator vs BYOK gateway
Sonar vs Command A: web grounding vs your own corpus
Sonar vs Gemini 2.5 Pro: web-grounded vs multimodal flagship
The two serverless GPU heavyweights
Open-weight inference: tokens vs per-second billing
Two paradigms for LLM tool use
Grok 4.5 vs Claude Sonnet 5: cheapest output vs flat 1M context
Grok 4.5 vs GPT-5.6: half the blended cost vs twice the context