Auto-generated comparison

Meta: Llama 3.1 70B Instruct vs OpenAI: gpt-oss-120b

OpenAI: gpt-oss-120b wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMeta: Llama 3.1 70B InstructOpenAI: gpt-oss-120bWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K131KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.40$0.04🏆 OpenAI: gpt-oss-120b
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.40$0.19🏆 OpenAI: gpt-oss-120b
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 OpenAI: gpt-oss-120b

Frequently asked questions

Is Meta: Llama 3.1 70B Instruct better than OpenAI: gpt-oss-120b?

OpenAI: gpt-oss-120b wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Meta: Llama 3.1 70B Instruct and OpenAI: gpt-oss-120b?

Input: $0.40 vs $0.04 per 1M tokens. Output: $0.40 vs $0.19 per 1M tokens.

What context windows do Meta: Llama 3.1 70B Instruct and OpenAI: gpt-oss-120b support?

Meta: Llama 3.1 70B Instruct supports up to 131K tokens. OpenAI: gpt-oss-120b supports up to 131K tokens.

Do both Meta: Llama 3.1 70B Instruct and OpenAI: gpt-oss-120b support tool calling?

Meta: Llama 3.1 70B Instruct: yes. OpenAI: gpt-oss-120b: yes.

Compare Meta: Llama 3.1 70B Instruct with other models

Compare OpenAI: gpt-oss-120b with other models