GPT-4o vs Llama 3.3 70B
Which is better in 2026?
GPT-4o
87
Veltrix Score
vs
Llama 3.3 70B
86
Veltrix Score
Detailed Scores
GPT-4o — Scores
Coding90
Reasoning90
Creativity88
Speed85
Cost Efficiency80
Context: 128K tokens
API: $2.5 / $10 per 1M tokens
Llama 3.3 70B — Scores
Coding82
Reasoning83
Creativity80
Speed88
Cost Efficiency97
Context: 128K tokens
API: $0.23 / $0.4 per 1M tokens
Key Differences
| Aspect | GPT-4o | Llama 3.3 70B |
|---|---|---|
| Veltrix Score | 87/100 | 86/100 |
| Context Window | 128K tokens | 128K tokens |
| API Cost (input/output per 1M) | $2.5 / $10 | $0.23 / $0.4 |
| Coding | 90/100 | 82/100 |
| Reasoning | 90/100 | 83/100 |
| Speed | 85/100 | 88/100 |
Best for — GPT-4o
- +Code generation and review
- +Complex reasoning tasks
- +Creative writing
- +Fast response times
- +Cost-efficient at scale
Best for — Llama 3.3 70B
- +Code generation and review
- +Complex reasoning tasks
- +Creative writing
- +Fast response times
- +Cost-efficient at scale
Analysis
GPT-4o and Llama 3.3 70B are both popular choices in the llm space. With Veltrix Scores of 87 and 86 respectively, they are closely matched overall.
In coding benchmarks, GPT-4o takes the lead. For reasoning tasks, GPT-4o performs stronger. For cost-conscious developers, Llama 3.3 70B offers better value per token.
This comparison is generated from live Veltrix ranking data. Scores are updated multiple times per week as new benchmarks and user data become available.
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