Microsoft: Phi 4 vs OpenAI: gpt-oss-safeguard-20b

Neither wins outright: Microsoft: Phi 4 is the pick when cost matters at scale, OpenAI: gpt-oss-safeguard-20b when you need to fit long inputs in one request.

Key numbers

SpecMicrosoft: Phi 4OpenAI: gpt-oss-safeguard-20b
ProviderMicrosoftOpenAI
Input price (per 1M tokens)$0.07$0.07
Output price (per 1M tokens)$0.14$0.30
Blended price (3:1 input/output)$0.09$0.13
Cheaper than … of all models we track82%76%
Context window16K tokens (~25 pages)131K tokens (~197 pages)
Larger context than … of all models4%22%
Max output per response15K tokens (~11,100 words)66K tokens (~49,200 words)
Input typestexttext
Output typestexttext
Free variantNoNo
Listed since2025-01-102025-10-29
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What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)Microsoft: Phi 4OpenAI: gpt-oss-safeguard-20bDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$8.05$11.63Microsoft: Phi 4 saves $3.57
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$9.80$12.00Microsoft: Phi 4 saves $2.20
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
Doesn't fit context$12.60—
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$6.44$7.80Microsoft: Phi 4 saves $1.36
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
Doesn't fit context$4.05—

Capabilities side by side

CapabilityMicrosoft: Phi 4OpenAI: gpt-oss-safeguard-20bWhat it lets you do
Tool / function calling—✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode—✓ Yesspend extra tokens thinking before answering hard problems
Image input——read screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input——accept documents without your own parsing step
Image output——generate images, not just text
Built-in web search——answer from live web results
Seed (reproducible sampling)✓ Yes✓ Yesrepeat a generation for tests and evals
Log-probabilities——read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

DateModelInput / 1MOutput / 1M
2026-08-06Microsoft: Phi 4$0.07$0.14
2026-03-31Microsoft: Phi 4$0.07$0.14

Which should you choose?

Choose Microsoft: Phi 4 if…

  • cost matters at scale — it is 33% cheaper on a typical 3:1 input/output mix ($8.05 vs $11.63 a month for 50,000 support chats)

Choose OpenAI: gpt-oss-safeguard-20b if…

  • you need to fit long inputs in one request — 131K tokens is roughly 197 pages, against 25
  • you need tool / function calling — to call your APIs and run agent loops; Microsoft: Phi 4 does not advertise it
  • you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; Microsoft: Phi 4 does not advertise it
  • you generate long outputs in one go — up to 66K tokens (about 49,200 words) per response
  • you want the newer model — released 2025-10-29, 10 months after the other

Frequently asked questions

Is Microsoft: Phi 4 better than OpenAI: gpt-oss-safeguard-20b?

Neither wins outright: Microsoft: Phi 4 is the pick when cost matters at scale, OpenAI: gpt-oss-safeguard-20b when you need to fit long inputs in one request. In short: Microsoft: Phi 4 when cost matters at scale; OpenAI: gpt-oss-safeguard-20b when you need to fit long inputs in one request, you need tool / function calling, you need reasoning / thinking mode, you generate long outputs in one go, you want the newer model.

Which is cheaper, Microsoft: Phi 4 or OpenAI: gpt-oss-safeguard-20b?

Microsoft: Phi 4 is cheaper: $0.09 vs $0.13 per 1M tokens at a typical 3:1 input/output mix, 33% less. For 50,000 support conversations a month that is $8.05 against $11.63.

How much do Microsoft: Phi 4 and OpenAI: gpt-oss-safeguard-20b cost per million tokens?

Microsoft: Phi 4 costs $0.07 per 1M input tokens and $0.14 per 1M output tokens; OpenAI: gpt-oss-safeguard-20b costs $0.07 input and $0.30 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Microsoft: Phi 4 or OpenAI: gpt-oss-safeguard-20b?

OpenAI: gpt-oss-safeguard-20b: 131K tokens, about 197 pages, against 16K (about 25 pages) for Microsoft: Phi 4.

Do Microsoft: Phi 4 and OpenAI: gpt-oss-safeguard-20b support function calling and JSON output?

Tool calling — Microsoft: Phi 4: not advertised, OpenAI: gpt-oss-safeguard-20b: yes. JSON-schema structured output — Microsoft: Phi 4: yes, OpenAI: gpt-oss-safeguard-20b: yes.

Can Microsoft: Phi 4 or OpenAI: gpt-oss-safeguard-20b read images?

Neither accepts image input — both are text-in models.

Is Microsoft: Phi 4 or OpenAI: gpt-oss-safeguard-20b free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of Microsoft: Phi 4 and OpenAI: gpt-oss-safeguard-20b?

Microsoft: Phi 4 can write up to 15K tokens (about 11,100 words) per response; OpenAI: gpt-oss-safeguard-20b up to 66K (about 49,200 words).

When were Microsoft: Phi 4 and OpenAI: gpt-oss-safeguard-20b released?

Microsoft: Phi 4 was listed on 2025-01-10; OpenAI: gpt-oss-safeguard-20b on 2025-10-29.

Has the price of Microsoft: Phi 4 or OpenAI: gpt-oss-safeguard-20b changed?

Microsoft: Phi 4: input price raised 7% ($0.07 → $0.07/1M) on 2026-08-06 (2 price changes since 2026-03-10). OpenAI: gpt-oss-safeguard-20b: price unchanged since we started tracking it on 2026-03-10.

About the two models

Microsoft

Microsoft: Phi 4

[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...

Full Microsoft: Phi 4 specs →

Compare Microsoft: Phi 4 with other models

Compare OpenAI: gpt-oss-safeguard-20b with other models

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