API cost decision in 10 seconds

gpt-oss-20b vs LFM2-24B-A2B

Pick LFM2-24B-A2B for lower cost; pick gpt-oss-20b only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick LFM2-24B-A2B for lower cost; pick gpt-oss-20b only if the larger context window matters more.

On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.1 for gpt-oss-20b, saving $0.01 (10% lower).

Cost-first pickLFM2-24B-A2B

Context-first pickgpt-oss-20b

Sample savings$0.0110%

10x traffic gap$0.1

gpt-oss-20b has more context, but LFM2-24B-A2B saves $0.01 on the standard workload. At 10x that traffic, the same price gap is about $0.1. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

LFM2-24B-A2B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	gpt-oss-20b	LFM2-24B-A2B
Input-heavy / RAG	5M input + 500K output	LFM2-24B-A2B	$0.22	$0.21
Balanced workload	1M input + 1M output	LFM2-24B-A2B	$0.17	$0.15
Output-heavy chatbot	1M input + 5M output	LFM2-24B-A2B	$0.73	$0.63

Cheaper input Tie $0.03 vs $0.03 / 1M

Both models report the same input price at $0.03 per 1M tokens.

Cheaper output LFM2-24B-A2B $0.14 vs $0.12 / 1M

LFM2-24B-A2B is $0.02 cheaper per 1M output tokens (14.3% lower; 1.17x difference).

Larger context gpt-oss-20b 131.07K vs 128K

gpt-oss-20b has 3.07K more context (1.02x larger).

Sample workload LFM2-24B-A2B $0.1 vs $0.09

LFM2-24B-A2B is $0.01 cheaper on the standard workload (10% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

gpt-oss-20b Calculating… Estimated API cost

LFM2-24B-A2B Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

both models tie on input price; LFM2-24B-A2B has the lower output price; gpt-oss-20b offers the larger context window. For the 1M input plus 500K output sample, LFM2-24B-A2B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.1 for gpt-oss-20b and $0.09 for LFM2-24B-A2B.

Best Fit

Choose gpt-oss-20b when you care most about larger context window.

Choose LFM2-24B-A2B when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.1 for gpt-oss-20b, saving $0.01 (10% lower).
LFM2-24B-A2B is $0.01 cheaper on the standard workload (10% lower).
Both models report the same input price at $0.03 per 1M tokens.
LFM2-24B-A2B is $0.02 cheaper per 1M output tokens (14.3% lower; 1.17x difference).
gpt-oss-20b has 3.07K more context (1.02x larger).

Head-to-Head Specs

Feature	gpt-oss-20b (OpenAI)	LFM2-24B-A2B (LiquidAI)
Input Price prompt tokens per 1M	$0.03	$0.03
Completion Price per 1M tokens	$0.14	$0.12
Sample Workload Cost 1M input + 500K output	$0.1	$0.09
Context Window	131.07K	128K
Release Date	2025-08-05	2026-02-25
Popularity	#67	#125

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	LFM2-24B-A2B	On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.1 for gpt-oss-20b, saving $0.01 (10% lower).
High-volume input processing	Tie	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	LFM2-24B-A2B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	gpt-oss-20b	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace gpt-oss-20b when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace gpt-oss-20b when lower sample workload cost matters most: $0.
LFM2.5-1.2B-Thinking (free) can replace LFM2-24B-A2B when lower sample workload cost matters most: $0.
LFM2.5-1.2B-Instruct (free) can replace LFM2-24B-A2B when lower sample workload cost matters most: $0.

Larger context near this budget

Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.
Lyria 3 Clip Preview offers 1.05M context with $0 sample workload cost.
Lyria 3 Pro Preview offers 1.05M context with $0 sample workload cost.

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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...

LFM2-24B-A2B

LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per...