AI model comparison
Llama 3.2 3B Instruct vs GPT-4o-mini
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization.
- Input / 1M
- $0.05
- Output / 1M
- $0.33
- Context
- 131K
OpenAI
GPT-4o-mini
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 128K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Llama 3.2 3B Instruct
2.3x cheaper for a typical chat
Higher intelligence score
GPT-4o-mini
6.7 vs 5.7 on Artificial Analysis
Larger context window
Llama 3.2 3B Instruct
131K vs 128K tokens
Newer release
Llama 3.2 3B Instruct
Released September 25, 2024
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-4o-mini6.7Coding index
GPT-4o-mini11.4Agentic index
GPT-4o-miniNot availablePricing
Llama 3.2 3B Instruct vs GPT-4o-mini API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-4o-mini | |
|---|---|---|
| Input tokensPer 1M tokens | $0.05 | $0.15 |
| Output tokensPer 1M tokens | $0.33 | $0.60 |
| Cached input (read)Per 1M tokens | Not available | $0.08 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-4o-mini$0.60Coding task
30K in, 4K out
GPT-4o-mini$6.90$4.65 cachedLong document summary
150K in, 2K out
GPT-4o-mini$23.70$12.45 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-4o-mini | |
|---|---|---|
| Context window | 131K tokens | 128K tokens |
| Max output | 118K tokens | 16K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | September 25, 2024 | July 18, 2024 |
Features
Supported features
API features available for each model.
| Metric | GPT-4o-mini | |
|---|---|---|
| Tool calling | Not supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Not supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Llama 3.2 3B Instruct vs Llama 4 Scout
- Llama 3.2 3B Instruct vs GPT-4.1 Nano
- Llama 3.2 3B Instruct vs Gemma 3 27B
- Llama 3.2 3B Instruct vs Llama 3.3 70B Instruct
- Llama 3.2 3B Instruct vs Qwen3 30B A3B Instruct 2507
- Llama 3.2 3B Instruct vs Llama 3.1 8B Instruct
- Llama 3.2 3B Instruct vs Llama 3.1 70B Instruct
- Llama 3.2 3B Instruct vs Ministral 3 14B 2512
- Llama 3.2 3B Instruct vs Llama 3.2 1B Instruct
GPT-4o-miniView full model details- GPT-4o-mini vs GPT-6 Luna Pro
- GPT-4o-mini vs GPT-5 Nano
- GPT-4o-mini vs GPT-4.1 Mini
- GPT-4o-mini vs Gemma 3 27B
- GPT-4o-mini vs Llama 3.3 70B Instruct
- GPT-4o-mini vs GPT-4.1 Nano
- GPT-4o-mini vs Llama 4 Maverick
- GPT-4o-mini vs Qwen3 VL 30B A3B Instruct
- GPT-4o-mini vs Qwen3 VL 8B Instruct
- GPT-4o-mini vs Sonar
- GPT-4o-mini vs Nova Lite 1.0
- GPT-4o-mini vs Qwen3 30B A3B
- GPT-4o-mini vs Hermes 3 70B Instruct
- GPT-4o-mini vs Llama 3.1 70B Instruct
- GPT-4o-mini vs Hermes 3 405B Instruct
- GPT-4o-mini vs Solar Pro 3
- GPT-4o-mini vs GPT-3.5 Turbo
- GPT-4o-mini vs GLM 4.5V
- GPT-4o-mini vs Nova Pro 1.0
- GPT-4o-mini vs Qwen2.5 Coder 32B Instruct
- GPT-4o-mini vs Saba
- GPT-4o-mini vs Reka Flash 3
Our take
Llama 3.2 3B Instruct is 2.3x cheaper for a typical chat. GPT-4o-mini scores higher on the Artificial Analysis Intelligence Index (6.7 vs 5.7). Llama 3.2 3B Instruct has the larger context window (131K vs 128K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Llama 3.2 3B Instruct or GPT-4o-mini cheaper?
Llama 3.2 3B Instruct is cheaper for a typical chat (2K input tokens and 500 output tokens). Llama 3.2 3B Instruct costs $0.05 per 1M input tokens and $0.33 per 1M output tokens, while GPT-4o-mini costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.
Which has a bigger context window, Llama 3.2 3B Instruct or GPT-4o-mini?
Llama 3.2 3B Instruct supports up to 131K tokens of context, compared with 128K for GPT-4o-mini.
Is Llama 3.2 3B Instruct smarter than GPT-4o-mini?
On the Artificial Analysis Intelligence Index, Llama 3.2 3B Instruct scores 5.7 and GPT-4o-mini scores 6.7, putting GPT-4o-mini ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Llama 3.2 3B Instruct and GPT-4o-mini at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Llama 3.2 3B Instruct and GPT-4o-mini answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Llama 3.2 3B Instruct and GPT-4o-mini at the same time. Compare the answers side by side and keep the best one.