Model comparison

LFM2.5-350M vs SWE-1.7

Data verified July 18, 2026

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.

LFM2.5-350M

LiquidAI

N/A

No comparison

SWE-1.7

Cognition

N/A

0 category wins0 category wins

Evidence parity. LFM2.5-350M and SWE-1.7 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to LFM2.5-350M; 4 to SWE-1.7.

Updated July 18, 2026

Shared results: 0
LFM2.5-350M only: 0
SWE-1.7 only: 4
Comparable categories: 0 / 8

Benchmark data for LFM2.5-350M and SWE-1.7 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for LFM2.5-350M yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

SWE-1.7 has the larger context window at 256K, compared with 32K for LFM2.5-350M.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

Metric	LFM2.5-350M	SWE-1.7	Comparison
Input / output priceUSD per 1M tokens	LFM2.5-350M$0 input / $0 output	SWE-1.7Not available	A complete price comparison is not available.
Generation speedtokens per second	LFM2.5-350MNot available	SWE-1.7Not available	A complete speed comparison is not available.
First-answer latencyseconds to first token	LFM2.5-350MNot available	SWE-1.7Not available	A complete latency comparison is not available.
Context windowmaximum listed tokens	LFM2.5-350M32K	SWE-1.7256K	SWE-1.7 lists the larger context window.

Benchmark Deep Dive

Agentic

1 benchmarks

Benchmark	LFM2.5-350M	SWE-1.7	Result
Terminal-Bench 2.0Source	—	81.5%	Not comparable

Coding

3 benchmarks

Benchmark	LFM2.5-350M	SWE-1.7	Result
FrontierCode 1.1 MainSource	—	42.3%	Not comparable
Terminal-Bench 2.0Source	—	81.5%	Not comparable
SWE MultilingualSource	—	77.8%	Not comparable

Frequently Asked Questions (3)

Can I compare LFM2.5-350M and SWE-1.7 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for LFM2.5-350M and SWE-1.7 today?

LFM2.5-350M: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 18, 2026

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