gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision) Showdown

After a comprehensive analysis, gpt-oss-120B (high) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Llama 3.2 Instruct 90B (Vision) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision) comparison will break down every critical metric to help you make the best decision.

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Model Snapshot

Key decision metrics at a glance.

gpt-oss-120B (high)

OpenAI

Reasoning: 9
Coding: 3
Multimodal: 3
Long Context: 4
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 317.07tokens/sec

Llama 3.2 Instruct 90B (Vision)

Overall Capabilities

The capability radar provides a holistic view of the gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `gpt-oss-120B (high)` vs `Llama 3.2 Instruct 90B (Vision)`.

Benchmark Breakdown

For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision) debate, gpt-oss-120B (high) scores 90 against Llama 3.2 Instruct 90B (Vision)'s 60. This data-driven approach is essential for any serious gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision) comparison.

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Speed & Latency

Speed is a crucial factor in the gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

gpt-oss-120B (high)300ms

Llama 3.2 Instruct 90B (Vision)300ms

Tokens per Second

gpt-oss-120B (high)317.07

Llama 3.2 Instruct 90B (Vision)35.236

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The Economics of gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision)

Power is only one part of the equation. This gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision) pricing analysis gives you a true sense of value.

Pricing Breakdown

Compare input and output pricing at a glance.

Real-World Cost Scenario

To process 1M input tokens and generate 250k output tokens, gpt-oss-120B (high) would cost $0.000, whereas Llama 3.2 Instruct 90B (Vision) would cost $0.001. This practical calculation is vital for any developer considering the gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision) choice.

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Which Model Wins the gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision) Battle for You?

Choose gpt-oss-120B (high) if...

Your top priority is raw performance and capability.

You are working in a technical or scientific field requiring the highest accuracy.

You need the most advanced reasoning capabilities available.

Choose Llama 3.2 Instruct 90B (Vision) if...

You are developing at scale where operational costs are critical.

You prioritize cost-effectiveness over maximum performance.

Your workload requires consistent, reliable performance.

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Your Questions about the gpt-oss-120B (high) vs Llama 3.2 Instruct 90B (Vision) Comparison

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Data source: https://artificialanalysis.ai/