IBM: Granite 4.2 8B vs OpenAI: gpt-oss-120b (batch)

Neither wins outright: IBM: Granite 4.2 8B is the pick when you need log-probabilities, OpenAI: gpt-oss-120b (batch) when cost matters at scale.

Key numbers

SpecIBM: Granite 4.2 8BOpenAI: gpt-oss-120b (batch)
ProviderIbm GraniteOpenAI
Input price (per 1M tokens)$0.06$0.03
Output price (per 1M tokens)$0.25$0.14
Blended price (3:1 input/output)$0.11$0.06
Cheaper than … of all models we track79%87%
Context window131K tokens (~197 pages)131K tokens (~197 pages)
Larger context than … of all models23%23%
Max output per response118K tokens (~88,500 words)118K tokens (~88,500 words)
Input typestexttext
Output typestexttext
Free variantNoNo
Listed since2026-08-312025-08-05
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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)IBM: Granite 4.2 8BOpenAI: gpt-oss-120b (batch)Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$9.50$4.94OpenAI: gpt-oss-120b (batch) saves $4.56
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$9.70$4.91OpenAI: gpt-oss-120b (batch) saves $4.79
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)
$10.20$5.18OpenAI: gpt-oss-120b (batch) saves $5.02
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$6.30$3.18OpenAI: gpt-oss-120b (batch) saves $3.12
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$3.25$1.62OpenAI: gpt-oss-120b (batch) saves $1.63

Capabilities side by side

CapabilityIBM: Granite 4.2 8BOpenAI: gpt-oss-120b (batch)What it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ 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✓ Yes—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
2026-09-24OpenAI: gpt-oss-120b (batch)$0.03$0.14
2026-09-22IBM: Granite 4.2 8B$0.06$0.25
2026-09-21IBM: Granite 4.2 8B$0.10$0.15
2026-09-09IBM: Granite 4.2 8B$0.06$0.25

Which should you choose?

Choose IBM: Granite 4.2 8B if…

  • you need log-probabilities — to read token confidence for classification and scoring; OpenAI: gpt-oss-120b (batch) does not advertise it
  • you want the newer model — released 2026-08-31, 13 months after the other

Choose OpenAI: gpt-oss-120b (batch) if…

  • cost matters at scale — it is 48% cheaper on a typical 3:1 input/output mix ($4.94 vs $9.50 a month for 50,000 support chats)

Frequently asked questions

Is IBM: Granite 4.2 8B better than OpenAI: gpt-oss-120b (batch)?

Neither wins outright: IBM: Granite 4.2 8B is the pick when you need log-probabilities, OpenAI: gpt-oss-120b (batch) when cost matters at scale. In short: IBM: Granite 4.2 8B when you need log-probabilities, you want the newer model; OpenAI: gpt-oss-120b (batch) when cost matters at scale.

Which is cheaper, IBM: Granite 4.2 8B or OpenAI: gpt-oss-120b (batch)?

OpenAI: gpt-oss-120b (batch) is cheaper: $0.06 vs $0.11 per 1M tokens at a typical 3:1 input/output mix, 48% less. For 50,000 support conversations a month that is $4.94 against $9.50.

How much do IBM: Granite 4.2 8B and OpenAI: gpt-oss-120b (batch) cost per million tokens?

IBM: Granite 4.2 8B costs $0.06 per 1M input tokens and $0.25 per 1M output tokens; OpenAI: gpt-oss-120b (batch) costs $0.03 input and $0.14 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, IBM: Granite 4.2 8B or OpenAI: gpt-oss-120b (batch)?

Both take 131K tokens per request — roughly 197 pages of text.

Do IBM: Granite 4.2 8B and OpenAI: gpt-oss-120b (batch) support function calling and JSON output?

Tool calling — IBM: Granite 4.2 8B: yes, OpenAI: gpt-oss-120b (batch): yes. JSON-schema structured output — IBM: Granite 4.2 8B: yes, OpenAI: gpt-oss-120b (batch): yes.

Can IBM: Granite 4.2 8B or OpenAI: gpt-oss-120b (batch) read images?

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

Is IBM: Granite 4.2 8B or OpenAI: gpt-oss-120b (batch) free to use?

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

What is the maximum output length of IBM: Granite 4.2 8B and OpenAI: gpt-oss-120b (batch)?

IBM: Granite 4.2 8B can write up to 118K tokens (about 88,500 words) per response; OpenAI: gpt-oss-120b (batch) up to 118K (about 88,500 words).

When were IBM: Granite 4.2 8B and OpenAI: gpt-oss-120b (batch) released?

IBM: Granite 4.2 8B was listed on 2026-08-31; OpenAI: gpt-oss-120b (batch) on 2025-08-05.

Has the price of IBM: Granite 4.2 8B or OpenAI: gpt-oss-120b (batch) changed?

IBM: Granite 4.2 8B: input price cut 40% ($0.10 → $0.06/1M), output price raised 40% ($0.15 → $0.25/1M) on 2026-09-22 (3 price changes since 2026-09-01). OpenAI: gpt-oss-120b (batch): input price cut 80% ($0.15 → $0.03/1M), output price cut 77% ($0.60 → $0.14/1M) on 2026-09-24.

About the two models

Ibm Granite

IBM: Granite 4.2 8B

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...

Full IBM: Granite 4.2 8B specs →

Compare IBM: Granite 4.2 8B with other models

Compare OpenAI: gpt-oss-120b (batch) with other models

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