Which AI model should we standardize on?
60-person company • Ops-led decision • Q4 2024
How we'll decide
- Capability for real work (reasoning, coding, analysis)
- Cost at expected usage (tokens/month)
- Privacy & data controls for a non-tech team
- Ease of adoption (no ML expertise required)
- Long-term vendor stability & roadmap
Current model landscape (Oct 2024)
GPT-4o / o1-preview
OpenAI • Strong ecosystem, tools, fine-tuning
Claude 3.5 Sonnet
Anthropic • Tops many reasoning/coding benchmarks
Gemini 1.5 Pro
Google • 1M+ context, Workspace integration
Llama 3.1 405B
Meta • Open weights, self-host or via Together/Fireworks
We evaluated production-ready API models only. No marketing claims — only public benchmarks + pricing pages.
Capability comparison
| Model | Reasoning | Coding | Long context | Multimodal |
|---|
| GPT-4o | ★★★★☆ | ★★★★☆ | ★★★☆☆ | ★★★★★ |
| Claude 3.5 Sonnet | ★★★★★ | ★★★★★ | ★★★★☆ | ★★★★☆ |
| Gemini 1.5 Pro | ★★★★☆ | ★★★★☆ | ★★★★★ | ★★★★☆ |
| Llama 3.1 405B | ★★★★☆ | ★★★★☆ | ★★★☆☆ | ★★★☆☆ |
Claude 3.5 currently leads on GPQA, SWE-Bench, and human preference for writing & analysis.
Cost at scale (est. 2M tokens/mo per power user)
Claude offers the best capability-per-dollar. GPT-4o becomes expensive with heavy tool use.
Privacy & data handling
Claude (Anthropic) — Zero data retention by default for Team/Enterprise. Strongest safety stance. No training on customer data.
GPT-4o (OpenAI) — 30-day retention option; Enterprise has SOC2 + custom terms. Chat history still stored.
Gemini — Inherits Google Workspace controls. Good if already in Google ecosystem.
Llama 3.1 — Full control if self-hosted. High operational burden for non-tech team.
Ease for non-technical teams
| Model | UI / Chat | Integrations | Admin controls | Score |
|---|
| GPT-4o | ChatGPT Team excellent | Zapier, Slack, many | Good SSO/SCIM | 9/10 |
| Claude | Projects & Artifacts | Slack, API only | Enterprise SSO | 8.5/10 |
| Gemini | Workspace native | Google ecosystem | Admin console | 9/10 |
| Llama | Requires custom UI | DIY | Self-managed | 3/10 |
Recommendation: Claude 3.5 Sonnet (Team plan)
- Highest reasoning & coding quality today
- Best price/performance at expected load
- Strongest default privacy posture
- Projects feature reduces prompt engineering burden
- Acceptable integration story via Slack + API
Runner-up: GPT-4o if heavy tool-calling or Microsoft 365 integration is required.
Rollout & cost (60 people)
Phase 1 (Month 1) — 15 power users on Claude Team ($30/user/mo) → $450
Phase 2 (Month 2-3) — Company-wide Team plan → $1,800/mo
Phase 3 (Q1 2025) — Evaluate Enterprise ($60k/yr) if usage > 50M tokens/mo
Total Year-1 estimate: $22–28k (well under one junior hire).
Risks & mitigations
| Risk | Likelihood | Mitigation |
|---|
| Model price increase | Medium | Multi-model fallback + usage caps |
| Context window limits | Low | Chunking + RAG via simple tools |
| Over-reliance / hallucination | Medium | Mandatory human review for external comms |
| Vendor lock-in | Low | API abstraction layer in year 2 |
Decision & next steps
Approve Claude Team rollout
Week 1: Legal & security review
Week 2: 10-person pilot
Week 4: Full 60-person deployment
Re-evaluate in 6 months against new releases (o1, Claude 4, Gemini 2).