Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Model details →Meta: Llama 4 Maverick vs OpenAI: GPT-4.1 Mini (batch)
Meta: Llama 4 Maverick wins on 1 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
Model details →Side-by-side comparison
| Capability | Meta: Llama 4 Maverick | OpenAI: GPT-4.1 Mini (batch) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1.0M | 🏆 Meta: Llama 4 Maverick |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.20 | $0.20 | Tie |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.80 | $0.80 | Tie |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Meta: Llama 4 Maverick better than OpenAI: GPT-4.1 Mini (batch)?
Meta: Llama 4 Maverick wins on 1 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meta: Llama 4 Maverick and OpenAI: GPT-4.1 Mini (batch)?
Input: $0.20 vs $0.20 per 1M tokens. Output: $0.80 vs $0.80 per 1M tokens.
What context windows do Meta: Llama 4 Maverick and OpenAI: GPT-4.1 Mini (batch) support?
Meta: Llama 4 Maverick supports up to 1.0M tokens. OpenAI: GPT-4.1 Mini (batch) supports up to 1.0M tokens.
Do both Meta: Llama 4 Maverick and OpenAI: GPT-4.1 Mini (batch) support tool calling?
Meta: Llama 4 Maverick: yes. OpenAI: GPT-4.1 Mini (batch): yes.
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