Four major AI models. Compared on what actually matters for business use — cost, capability, speed, and context window. No marketing language. Practical guidance for real decisions.
| Dimension | Claude | GPT-4o | Gemini 1.5 | Llama 3 |
|---|---|---|---|---|
API Cost Per 1M tokens, input/output |
$$ Sonnet: ~$3/$15 Haiku: ~$0.25/$1.25 |
$$$ GPT-4o: ~$5/$15 4o-mini: ~$0.15/$0.60 |
$ Flash: ~$0.075/$0.30 Pro: ~$7/$21 |
Free Hosting cost only Groq API: near-free |
Reasoning Quality Complex analysis, nuanced instruction-following |
Excellent Industry-best on complex reasoning, careful instruction-following |
Excellent Strong all-rounder. Very good at structured output and code |
Good Strong on long docs. Pro 1.5 competitive with top models |
Good 70B model competitive on many tasks. Smaller models trail |
Speed (latency) Time to first token, output rate |
Fast Haiku: very fast. Sonnet: solid. Opus: slower but thorough |
Fast 4o-mini very fast. 4o competitive. Consistent latency |
Very Fast Flash is fastest of all major models. Pro is slower |
Fastest Via Groq hardware: extremely fast for the 8B model |
Context Window How much text it can read at once |
200K tokens ~150,000 words. Handles most business documents easily |
128K tokens ~96,000 words. Sufficient for most use cases |
1M tokens ~750,000 words. Best for analyzing large document sets |
8K–128K Varies by model version and hosting provider |
Privacy & Data Where your data goes, training use |
Strong API data not used for training. Clear data handling policy |
Good API data not used for training by default. SOC2 compliant |
Good Google Cloud infrastructure. Enterprise options available |
Best Self-hosted = no data leaves your environment. Full control |
Code Generation Writing and debugging software code |
Excellent Claude is a top-tier coding assistant. Strong on debugging |
Best GPT-4o is the benchmark on code generation and completion |
Good Solid but not the first choice for complex code tasks |
Good CodeLlama variant is strongest for code-specific tasks |
Writing Quality Tone, nuance, natural language output |
Best Most natural, nuanced writing of any major model. Hard to detect as AI |
Excellent High quality. Slightly more formulaic than Claude on long-form |
Good Competent but noticeably AI in tone on longer pieces |
Decent Varies significantly by model size and fine-tuning |
Setup Complexity Time to get working in your product |
Low Clear docs, simple API key auth, excellent SDKs |
Low Most mature ecosystem. Largest library of integrations |
Low-Med Google Cloud familiarity helps. Vertex AI adds complexity |
High Self-hosting requires DevOps skill. APIs like Groq reduce this |
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