gpt-oss-120b vs Kimi K2.5 (Comparative Analysis)
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Comparative Analysis: gpt-oss-120b vs. Kimi K2.5
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Overview
gpt-oss-120b was released 5 months before Kimi K2.5.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | 262.1K tokens |
Release Date When this model first became publicly available | August 5, 2025 11 months ago August 5th, 2025 | January 27, 2026 6 months ago January 27th, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
gpt-oss-120b | Kimi K2.5 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: High, Medium, LowDefault: Medium | Enabled by default |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
gpt-oss-120b is roughly 0.07x less expensive compared to Kimi K2.5 for input tokens and roughly 0.06x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.04 per million tokens | $0.57 per million tokens |
Output Token Cost Cost per million output tokens | $0.17 per million tokens | $2.85 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.10 per million tokens |
Benchmarks
Compare relevant benchmarks between gpt-oss-120b and Kimi K2.5.
Intelligence Index Overall model quality across independent evaluations | 23.8 (Artificial Analysis index; higher is better) | 35.4 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 30.4 (Artificial Analysis index; higher is better) | 46.8 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 13.2 (Artificial Analysis index; higher is better) | 21.7 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,050 Elo (#91 in Game Dev (40.6% win rate)) | 1,275 Elo (#24 in Website (55.5% win rate)) |
At a Glance
Quick overview of what makes gpt-oss-120b and Kimi K2.5 unique.
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