LiquidAI: LFM2.5-24B-A2B vs OpenAI: gpt-oss-120b

Neither wins outright: LiquidAI: LFM2.5-24B-A2B is the pick when cost matters at scale, OpenAI: gpt-oss-120b when you generate long outputs in one go.

Key numbers

SpecLiquidAI: LFM2.5-24B-A2BOpenAI: gpt-oss-120b
ProviderLiquidOpenAI
Input price (per 1M tokens)$0.05$0.15
Output price (per 1M tokens)$0.70$0.60
Blended price (3:1 input/output)$0.21$0.26
Cheaper than … of all models we track68%65%
Context window128K tokens (~192 pages)131K tokens (~197 pages)
Larger context than … of all models14%23%
Max output per response8K tokens (~6,100 words)66K tokens (~49,200 words)
Input typestexttext
Output typestexttext
Free variantNoYes
Listed since2026-10-132025-08-05

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)LiquidAI: LFM2.5-24B-A2BOpenAI: gpt-oss-120bDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$17.75$23.25LiquidAI: LFM2.5-24B-A2B saves $5.50
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$13.00$24.00LiquidAI: LFM2.5-24B-A2B saves $11.00
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)
$14.40$25.20LiquidAI: LFM2.5-24B-A2B saves $10.80
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$8.20$15.60LiquidAI: LFM2.5-24B-A2B saves $7.40
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$3.20$8.10LiquidAI: LFM2.5-24B-A2B saves $4.90

Capabilities side by side

CapabilityLiquidAI: LFM2.5-24B-A2BOpenAI: gpt-oss-120bWhat 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✓ Yesread 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
2026-10-13OpenAI: gpt-oss-120b$0.15$0.60
2026-09-30OpenAI: gpt-oss-120b$0.04$0.17
2026-09-18OpenAI: gpt-oss-120b$0.15$0.60
2026-08-23OpenAI: gpt-oss-120b$0.04$0.17
2026-08-12OpenAI: gpt-oss-120b$0.03$0.17
2026-08-06OpenAI: gpt-oss-120b$0.04$0.17

Which should you choose?

Choose LiquidAI: LFM2.5-24B-A2B if…

  • cost matters at scale — it is 19% cheaper on a typical 3:1 input/output mix ($17.75 vs $23.25 a month for 50,000 support chats)
  • you want the newer model — released 2026-10-13, 14 months after the other

Choose OpenAI: gpt-oss-120b if…

  • you generate long outputs in one go — up to 66K tokens (about 49,200 words) per response
  • you want to prototype at zero cost — a free variant is listed

Frequently asked questions

Is LiquidAI: LFM2.5-24B-A2B better than OpenAI: gpt-oss-120b?

Neither wins outright: LiquidAI: LFM2.5-24B-A2B is the pick when cost matters at scale, OpenAI: gpt-oss-120b when you generate long outputs in one go. In short: LiquidAI: LFM2.5-24B-A2B when cost matters at scale, you want the newer model; OpenAI: gpt-oss-120b when you generate long outputs in one go, you want to prototype at zero cost.

Which is cheaper, LiquidAI: LFM2.5-24B-A2B or OpenAI: gpt-oss-120b?

LiquidAI: LFM2.5-24B-A2B is cheaper: $0.21 vs $0.26 per 1M tokens at a typical 3:1 input/output mix, 19% less. For 50,000 support conversations a month that is $17.75 against $23.25.

How much do LiquidAI: LFM2.5-24B-A2B and OpenAI: gpt-oss-120b cost per million tokens?

LiquidAI: LFM2.5-24B-A2B costs $0.05 per 1M input tokens and $0.70 per 1M output tokens; OpenAI: gpt-oss-120b costs $0.15 input and $0.60 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, LiquidAI: LFM2.5-24B-A2B or OpenAI: gpt-oss-120b?

OpenAI: gpt-oss-120b: 131K tokens, about 197 pages, against 128K (about 192 pages) for LiquidAI: LFM2.5-24B-A2B.

Do LiquidAI: LFM2.5-24B-A2B and OpenAI: gpt-oss-120b support function calling and JSON output?

Tool calling — LiquidAI: LFM2.5-24B-A2B: yes, OpenAI: gpt-oss-120b: yes. JSON-schema structured output — LiquidAI: LFM2.5-24B-A2B: yes, OpenAI: gpt-oss-120b: yes.

Can LiquidAI: LFM2.5-24B-A2B or OpenAI: gpt-oss-120b read images?

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

Is LiquidAI: LFM2.5-24B-A2B or OpenAI: gpt-oss-120b free to use?

OpenAI: gpt-oss-120b has a free variant (openai/gpt-oss-120b:free). Free variants usually carry tighter rate limits.

What is the maximum output length of LiquidAI: LFM2.5-24B-A2B and OpenAI: gpt-oss-120b?

LiquidAI: LFM2.5-24B-A2B can write up to 8K tokens (about 6,100 words) per response; OpenAI: gpt-oss-120b up to 66K (about 49,200 words).

When were LiquidAI: LFM2.5-24B-A2B and OpenAI: gpt-oss-120b released?

LiquidAI: LFM2.5-24B-A2B was listed on 2026-10-13; OpenAI: gpt-oss-120b on 2025-08-05.

Has the price of LiquidAI: LFM2.5-24B-A2B or OpenAI: gpt-oss-120b changed?

LiquidAI: LFM2.5-24B-A2B: price unchanged since we started tracking it on 2026-10-14. OpenAI: gpt-oss-120b: input price raised 75% ($0.04 → $0.15/1M), output price raised 72% ($0.17 → $0.60/1M) on 2026-10-13 (6 price changes since 2026-03-10).

About the two models

OpenAI

OpenAI: gpt-oss-120b

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

Full OpenAI: gpt-oss-120b specs →

Compare LiquidAI: LFM2.5-24B-A2B with other models

Compare OpenAI: gpt-oss-120b with other models

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