GPT-4o vs Llama 3.1 405B: Detailed Comparison
Choosing between GPT-4o (OpenAI) and
Llama 3.1 405B (Meta) comes down to three things:
per-token pricing, context window, and which capability matters most for your workload.
GPT-4o costs $2.50/M input vs
$3.50/M for Llama 3.1 405B;
context windows are 128K vs
128K tokens. Detailed breakdown below.
Side-by-side specs
| Spec | GPT-4o | Llama 3.1 405B |
|---|
| Provider | OpenAI | Meta |
|---|
| Released | 2024-05-13 | 2024-07-23 |
|---|
| Input price |
$2.50/M |
$3.50/M |
| Output price |
$10.00/M |
$3.50/M |
| Cached input |
$1.2500/M |
— |
| Context window |
128K |
128K |
| Max output |
16K |
4K |
| Modalities |
text image audio |
text |
| Tokenizer |
o200k_base |
llama-3 |
Capability matrix
| Capability | GPT-4o | Llama 3.1 405B |
|---|
| function calling |
Yes |
Yes |
| json mode |
Yes |
Yes |
| vision |
Yes |
No |
| streaming |
Yes |
Yes |
| audio |
Yes |
No |
Benchmark comparison
Higher is better for all benchmarks shown.
| Benchmark | Category | GPT-4o | Llama 3.1 405B | Δ |
|---|
| MMLU |
general |
88.7 |
— |
— |
| HumanEval |
coding |
90.2 |
— |
— |
| MMMU |
multimodal |
69.1 |
— |
— |
Per-call cost on typical workloads
| Workload (in/out tokens) | GPT-4o | Llama 3.1 405B | Cheaper by |
|---|
| Standard chat (1K / 500) |
$0.007500 |
$0.005250 |
Llama 3.1 405B by $0.002250 |
| RAG (4K / 500) |
$0.015000 |
$0.015750 |
GPT-4o by $0.000750 |
| Long doc (20K / 1K) |
$0.060000 |
$0.073500 |
GPT-4o by $0.013500 |
| Very long context (100K / 2K) |
$0.265000 |
$0.355250 |
GPT-4o by $0.090250 |
When to choose GPT-4o over Llama 3.1 405B
- Per-token input cost is 29% lower — meaningful for high-volume workloads.
- Supports vision — Llama 3.1 405B does not.
- Supports audio — Llama 3.1 405B does not.
When to choose Llama 3.1 405B over GPT-4o
- Llama 3.1 405B fits when your stack is already on Meta.
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