o3-mini vs Llama 3.3 70B: Detailed Comparison
Choosing between o3-mini (OpenAI) and
Llama 3.3 70B (Meta) comes down to three things:
per-token pricing, context window, and which capability matters most for your workload.
o3-mini costs $1.10/M input vs
$0.59/M for Llama 3.3 70B;
context windows are 200K vs
128K tokens. Detailed breakdown below.
Side-by-side specs
| Spec | o3-mini | Llama 3.3 70B |
|---|
| Provider | OpenAI | Meta |
|---|
| Released | 2025-01-31 | 2024-12-06 |
|---|
| Input price |
$1.10/M |
$0.59/M |
| Output price |
$4.40/M |
$0.79/M |
| Cached input |
$0.5500/M |
— |
| Context window |
200K |
128K |
| Max output |
100K |
8K |
| Modalities |
text |
text |
| Tokenizer |
o200k_base |
llama-3 |
Capability matrix
| Capability | o3-mini | Llama 3.3 70B |
|---|
| function calling |
Yes |
Yes |
| json mode |
Yes |
Yes |
| reasoning |
Yes |
No |
| streaming |
No |
Yes |
| tool use |
No |
Yes |
Benchmark comparison
Higher is better for all benchmarks shown.
| Benchmark | Category | o3-mini | Llama 3.3 70B | Δ |
|---|
| MMLU |
general |
— |
86.0 |
— |
| HumanEval |
coding |
— |
88.4 |
— |
Per-call cost on typical workloads
| Workload (in/out tokens) | o3-mini | Llama 3.3 70B | Cheaper by |
|---|
| Standard chat (1K / 500) |
$0.003300 |
$0.000985 |
Llama 3.3 70B by $0.002315 |
| RAG (4K / 500) |
$0.006600 |
$0.002755 |
Llama 3.3 70B by $0.003845 |
| Long doc (20K / 1K) |
$0.026400 |
$0.012590 |
Llama 3.3 70B by $0.013810 |
| Very long context (100K / 2K) |
$0.116600 |
$0.060185 |
Llama 3.3 70B by $0.056415 |
When to choose o3-mini over Llama 3.3 70B
- Larger context window (200K vs 128K) — relevant when whole documents or long histories must fit in a single call.
- Supports reasoning — Llama 3.3 70B does not.
When to choose Llama 3.3 70B over o3-mini
- Per-token input cost is 46% lower than o3-mini.
- Supports streaming — o3-mini does not.
- Supports tool use — o3-mini does not.
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