Auto-generated comparison

NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 vs OpenAI: gpt-oss-20b (batch)

OpenAI: gpt-oss-20b (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityNVIDIA: Llama 3.3 Nemotron Super 49B V1.5OpenAI: gpt-oss-20b (batch)Winner
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.
$0.10$0.02🏆 OpenAI: gpt-oss-20b (batch)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.40$0.11🏆 OpenAI: gpt-oss-20b (batch)
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.
YesYesTie

Frequently asked questions

Is NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 better than OpenAI: gpt-oss-20b (batch)?

OpenAI: gpt-oss-20b (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 and OpenAI: gpt-oss-20b (batch)?

Input: $0.10 vs $0.02 per 1M tokens. Output: $0.40 vs $0.11 per 1M tokens.

What context windows do NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 and OpenAI: gpt-oss-20b (batch) support?

NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 supports up to 131K tokens. OpenAI: gpt-oss-20b (batch) supports up to 131K tokens.

Do both NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 and OpenAI: gpt-oss-20b (batch) support tool calling?

NVIDIA: Llama 3.3 Nemotron Super 49B V1.5: yes. OpenAI: gpt-oss-20b (batch): yes.

Compare NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 with other models

Compare OpenAI: gpt-oss-20b (batch) with other models