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GPT-5 Image vs LFM2.5-24B-A2B

LFM2.5-24B-A2B costs 14.3x less per output token than GPT-5 Image ($0.70 vs $10.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

GPT-5 ImageOpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
LFM2.5-24B-A2BLiquid
Coding
No data
Overall
No data
Output $/M
$0.70
vs $10.00 vs $0.70 per 1M output tokens. LFM2.5-24B-A2B is 14.3x cheaper.

GPT-5 Image or LFM2.5-24B-A2B: which to pick

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

Pick GPT-5 Image for a larger context window (400K against 128K tokens).

No benchmark has tested both yet. GPT-5 Image has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; LFM2.5-24B-A2B has none yet. 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
GPT-5 Image not benchmarked, LFM2.5-24B-A2B 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
GPT-5 Image $10.00 against LFM2.5-24B-A2B $0.70 per million output tokens, 14.3x apart.
Context window
GPT-5 Image takes 400K tokens, LFM2.5-24B-A2B 128K.

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.

Image generationDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Image generation benchmarks for GPT-5 Image and LFM2.5-24B-A2B
BenchmarkGPT-5 ImageLFM2.5-24B-A2BLeader
Design Arena: images1191Not measuredOnly GPT-5 Image measured
Design Arena: graphic design1172Not measuredOnly GPT-5 Image measured
Design Arena: logos1202Not measuredOnly GPT-5 Image measured
Neither model has a result on the other 2 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

GPT-5 Image$0.015Fits in one request
LFM2.5-24B-A2B$0.0004Fits in one request

LFM2.5-24B-A2B costs less

Repository review

50K input + 3K output tokens

GPT-5 Image$0.530Fits in one request
LFM2.5-24B-A2B$0.0046Fits in one request

LFM2.5-24B-A2B costs less

Agent loop

200K input + 10K output tokens

GPT-5 Image$2.10Fits in one request
LFM2.5-24B-A2B$0.017Exceeds 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 GPT-5 Image and LFM2.5-24B-A2B
SpecificationOpenAI GPT-5 ImageLiquidAI LFM2.5-24B-A2B
MakerOpenAILiquid
WeightsNo public weights listedOpen weights
ReleasedOctober 14, 2025October 13, 2026
Context window400K128K
Input $/Mtok$10.00$0.05
Output $/Mtok$10.00$0.70
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Image better than LFM2.5-24B-A2B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5 Image for a larger context window (400K against 128K tokens).

Which is cheaper, GPT-5 Image or LFM2.5-24B-A2B?

GPT-5 Image costs $10.00 per million input tokens and $10.00 per million output tokens; LFM2.5-24B-A2B costs $0.05 and $0.70. Cost per solved task is known for neither of them.

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

GPT-5 Image, with 400K tokens against 128K.

Has any benchmark tested both GPT-5 Image and LFM2.5-24B-A2B?

No benchmark has tested both yet. GPT-5 Image has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; LFM2.5-24B-A2B has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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