gpt-oss-120B (high) vs Claude Opus 4.6 (Adaptive Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the gpt-oss-120B (high) vs Claude Opus 4.6 (Adaptive Reasoning) Showdown

After a comprehensive analysis, Claude Opus 4.6 (Adaptive Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, gpt-oss-120B (high) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed gpt-oss-120B (high) vs Claude Opus 4.6 (Adaptive Reasoning) 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: 309.714tokens/sec

Claude Opus 4.6 (Adaptive Reasoning)

Anthropic

Reasoning: 6
Coding: 5
Multimodal: 4
Long Context: 7
Blended Price / 1M tokens: $0.010
P95 Latency: 1000ms
Tokens per second: 64.459tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the gpt-oss-120B (high) vs Claude Opus 4.6 (Adaptive Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our gpt-oss-120B (high) vs Claude Opus 4.6 (Adaptive Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `gpt-oss-120B (high)` vs `Claude Opus 4.6 (Adaptive Reasoning)`.

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 Claude Opus 4.6 (Adaptive Reasoning) debate, gpt-oss-120B (high) scores 90 against Claude Opus 4.6 (Adaptive Reasoning)'s 60. This data-driven approach is essential for any serious gpt-oss-120B (high) vs Claude Opus 4.6 (Adaptive Reasoning) 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 Claude Opus 4.6 (Adaptive Reasoning) 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

Claude Opus 4.6 (Adaptive Reasoning)300ms

Tokens per Second

gpt-oss-120B (high)309.714

Claude Opus 4.6 (Adaptive Reasoning)64.459

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The Economics of gpt-oss-120B (high) vs Claude Opus 4.6 (Adaptive Reasoning)

Power is only one part of the equation. This gpt-oss-120B (high) vs Claude Opus 4.6 (Adaptive Reasoning) 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 Claude Opus 4.6 (Adaptive Reasoning) would cost $0.011. This practical calculation is vital for any developer considering the gpt-oss-120B (high) vs Claude Opus 4.6 (Adaptive Reasoning) choice.

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Which Model Wins the gpt-oss-120B (high) vs Claude Opus 4.6 (Adaptive Reasoning) 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 Claude Opus 4.6 (Adaptive Reasoning) 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 Claude Opus 4.6 (Adaptive Reasoning) Comparison

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Data source: https://artificialanalysis.ai/