Compare

Gpt-Oss-120b vs O4-Mini

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

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Gpt-Oss-120b
openai/gpt-oss-120b
O4-Mini
openai/o4-mini
Provider
OpenAI
OpenAI
Family
o-series
Modality
text
text
Context window
131,072 tok
200,000 tok
Max output
4,096 tok
100,000 tok
Released
2025-08-05
2026-05-22
License
Open-weight
Open-weight
Input price
$0.350 /1M
$1.10 /1M
Output price
$0.750 /1M
$4.40 /1M
Tools
yes
yes
Streaming
yes
yes
Vision
JSON mode
yes
yes
Reasoning
yes
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
Gpt-Oss-120b
openai/gpt-oss-120b
Full spec →

OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases – gpt-oss-120b is for production, general purpose, high reasoning use-cases.

Strengths
  • OpenAI's first open-weight release
  • Strong instruction following
  • Apache-2.0 license
Use cases
General chatOn-prem replacement for closed GPT
O4-Mini
openai/o4-mini
Full spec →

OpenAI's fast, lightweight reasoning model optimized for multi-step problem solving at lower cost.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

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Claude Opus 4.8 vs O4-Mini
anthropic/claude-opus-4.8 · openai/o4-mini
Claude Opus 4.8 vs Gpt-Oss-120b
anthropic/claude-opus-4.8 · openai/gpt-oss-120b
Gemini 3.1 Pro vs O4-Mini
google/gemini-3.1-pro · openai/o4-mini
Gemini 3.1 Pro vs Gpt-Oss-120b
google/gemini-3.1-pro · openai/gpt-oss-120b
Claude Sonnet 4.6 vs Gpt-Oss-120b
anthropic/claude-sonnet-4.6 · openai/gpt-oss-120b
GPT-5.5 vs O4-Mini
openai/gpt-5.5 · openai/o4-mini
GPT-5.5 vs Gpt-Oss-120b
openai/gpt-5.5 · openai/gpt-oss-120b
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# Gpt-Oss-120b
client.chat.completions.create(
    model="openai/gpt-oss-120b",
    messages=[{"role":"user","content":"hello"}],
)

# O4-Mini
client.chat.completions.create(
    model="openai/o4-mini",
    messages=[{"role":"user","content":"hello"}],
)
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