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LFM2.5-24B-A2B vs o1-pro

LFM2.5-24B-A2B costs 857.1x less per output token than o1-pro ($0.70 vs $600.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

LFM2.5-24B-A2BLiquid
Coding
No data
Overall
No data
Output $/M
$0.70
o1-proOpenAI
Coding
No data
Overall
No data
Output $/M
$600.00
vs $0.70 vs $600.00 per 1M output tokens. LFM2.5-24B-A2B is 857.1x cheaper.

LFM2.5-24B-A2B or o1-pro: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick LFM2.5-24B-A2B for output tokens 857.1x cheaper ($0.70 vs $600.00 per million).

No benchmark has tested both yet. LFM2.5-24B-A2B has none yet; o1-pro on AA Intelligence Index and ARC-AGI. Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
LFM2.5-24B-A2B not benchmarked, o1-pro not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
LFM2.5-24B-A2B $0.70 against o1-pro $600.00 per million output tokens, 857.1x apart.
Context window
LFM2.5-24B-A2B takes 128K tokens, o1-pro 200K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for LFM2.5-24B-A2B and o1-pro
BenchmarkLFM2.5-24B-A2Bo1-proLeader
AA Intelligence IndexNot measured12.4Only o1-pro measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Reasoning benchmarks for LFM2.5-24B-A2B and o1-pro
BenchmarkLFM2.5-24B-A2Bo1-proLeader
ARC-AGINot measured23.3%Only o1-pro measured
Neither model has a result on the other 21 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

LFM2.5-24B-A2B$0.0004Fits in one request
o1-pro$0.450Fits in one request

LFM2.5-24B-A2B costs less

Repository review

50K input + 3K output tokens

LFM2.5-24B-A2B$0.0046Fits in one request
o1-pro$9.30Fits in one request

LFM2.5-24B-A2B costs less

Agent loop

200K input + 10K output tokens

LFM2.5-24B-A2B$0.017Exceeds the context window
o1-pro$36.00Exceeds the context window

LFM2.5-24B-A2B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of LFM2.5-24B-A2B and o1-pro
SpecificationLiquidAI LFM2.5-24B-A2BOpenAI o1-pro
MakerLiquidOpenAI
WeightsOpen weightsNo public weights listed
ReleasedOctober 13, 2026March 19, 2025
Context window128K200K
Input $/Mtok$0.05$150.00
Output $/Mtok$0.70$600.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is LFM2.5-24B-A2B better than o1-pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick LFM2.5-24B-A2B for output tokens 857.1x cheaper ($0.70 vs $600.00 per million).

Which is cheaper, LFM2.5-24B-A2B or o1-pro?

LFM2.5-24B-A2B costs $0.05 per million input tokens and $0.70 per million output tokens; o1-pro costs $150.00 and $600.00. Cost per solved task is known for neither of them.

Which has the bigger context window, LFM2.5-24B-A2B or o1-pro?

o1-pro, with 200K tokens against 128K.

Has any benchmark tested both LFM2.5-24B-A2B and o1-pro?

No benchmark has tested both yet. LFM2.5-24B-A2B has none yet; o1-pro on AA Intelligence Index and ARC-AGI. Compare them on price and context instead. Data as of October 22, 2026.

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