LiquidAI: LFM2.5-24B-A2B vs OpenAI: gpt-oss-20b

Neither wins outright: LiquidAI: LFM2.5-24B-A2B is the pick when you want the newer model, OpenAI: gpt-oss-20b when cost matters at scale.

Key numbers

SpecLiquidAI: LFM2.5-24B-A2BOpenAI: gpt-oss-20b
ProviderLiquidOpenAI
Input price (per 1M tokens)$0.05$0.02
Output price (per 1M tokens)$0.70$0.09
Blended price (3:1 input/output)$0.21$0.04
Cheaper than … of all models we track68%88%
Context window128K tokens (~192 pages)131K tokens (~197 pages)
Larger context than … of all models14%23%
Max output per response8K tokens (~6,100 words)33K tokens (~24,600 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-20bDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$17.75$3.15OpenAI: gpt-oss-20b saves $14.60
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$13.00$3.06OpenAI: gpt-oss-20b saves $9.94
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$3.24OpenAI: gpt-oss-20b saves $11.16
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$8.20$1.98OpenAI: gpt-oss-20b saves $6.22
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$0.99OpenAI: gpt-oss-20b saves $2.21

Capabilities side by side

CapabilityLiquidAI: LFM2.5-24B-A2BOpenAI: gpt-oss-20bWhat 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
2026-09-23OpenAI: gpt-oss-20b$0.02$0.09
2026-08-06OpenAI: gpt-oss-20b$0.03$0.13
2026-03-31OpenAI: gpt-oss-20b$0.03$0.11

Which should you choose?

Choose LiquidAI: LFM2.5-24B-A2B if…

  • you want the newer model — released 2026-10-13, 14 months after the other

Choose OpenAI: gpt-oss-20b if…

  • cost matters at scale — it is 83% cheaper on a typical 3:1 input/output mix ($3.15 vs $17.75 a month for 50,000 support chats)
  • you generate long outputs in one go — up to 33K tokens (about 24,600 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-20b?

Neither wins outright: LiquidAI: LFM2.5-24B-A2B is the pick when you want the newer model, OpenAI: gpt-oss-20b when cost matters at scale. In short: LiquidAI: LFM2.5-24B-A2B when you want the newer model; OpenAI: gpt-oss-20b when cost matters at scale, 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-20b?

OpenAI: gpt-oss-20b is cheaper: $0.04 vs $0.21 per 1M tokens at a typical 3:1 input/output mix, 83% less. For 50,000 support conversations a month that is $3.15 against $17.75.

How much do LiquidAI: LFM2.5-24B-A2B and OpenAI: gpt-oss-20b 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-20b costs $0.02 input and $0.09 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-20b?

OpenAI: gpt-oss-20b: 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-20b support function calling and JSON output?

Tool calling — LiquidAI: LFM2.5-24B-A2B: yes, OpenAI: gpt-oss-20b: yes. JSON-schema structured output — LiquidAI: LFM2.5-24B-A2B: yes, OpenAI: gpt-oss-20b: yes.

Can LiquidAI: LFM2.5-24B-A2B or OpenAI: gpt-oss-20b read images?

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

Is LiquidAI: LFM2.5-24B-A2B or OpenAI: gpt-oss-20b free to use?

OpenAI: gpt-oss-20b has a free variant (openai/gpt-oss-20b:free). Free variants usually carry tighter rate limits.

What is the maximum output length of LiquidAI: LFM2.5-24B-A2B and OpenAI: gpt-oss-20b?

LiquidAI: LFM2.5-24B-A2B can write up to 8K tokens (about 6,100 words) per response; OpenAI: gpt-oss-20b up to 33K (about 24,600 words).

When were LiquidAI: LFM2.5-24B-A2B and OpenAI: gpt-oss-20b released?

LiquidAI: LFM2.5-24B-A2B was listed on 2026-10-13; OpenAI: gpt-oss-20b on 2025-08-05.

Has the price of LiquidAI: LFM2.5-24B-A2B or OpenAI: gpt-oss-20b changed?

LiquidAI: LFM2.5-24B-A2B: price unchanged since we started tracking it on 2026-10-14. OpenAI: gpt-oss-20b: input price cut 40% ($0.03 → $0.02/1M), output price cut 31% ($0.13 → $0.09/1M) on 2026-09-23 (3 price changes since 2026-03-10).

About the two models

OpenAI

OpenAI: gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

Full OpenAI: gpt-oss-20b specs →

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

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

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