Skip to main content
BenchLM
Advertise

Model comparison

LFM2.5-350M vs Ornith-1.0-397B

Data verified

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
Ornith-1.0-397B
DeepReinforce AI
72/100
0 category wins0 category wins

Evidence parity. LFM2.5-350M and Ornith-1.0-397B share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to LFM2.5-350M; 7 to Ornith-1.0-397B.

Updated July 16, 2026
Shared results
0
LFM2.5-350M only
0
Ornith-1.0-397B only
7
Comparable categories
0 / 8

Benchmark data for LFM2.5-350M and Ornith-1.0-397B 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.

Ornith-1.0-397B 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.

MetricLFM2.5-350MOrnith-1.0-397BComparison
Input / output priceUSD per 1M tokensLFM2.5-350M$0 input / $0 outputOrnith-1.0-397B$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondLFM2.5-350MNot availableOrnith-1.0-397BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-350MNot availableOrnith-1.0-397BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-350M32KOrnith-1.0-397B256KOrnith-1.0-397B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-350MOrnith-1.0-397BResult
Terminal-Bench 2.0Source —77.5%Not comparable
Claw-EvalSource —77.1%Not comparable
Coding
BenchmarkLFM2.5-350MOrnith-1.0-397BResult
SWE-bench VerifiedSource —82.4%Not comparable
SWE-bench ProSource —62.2%Not comparable
SWE MultilingualSource —78.9%Not comparable
NL2RepoSource —48.2%Not comparable
Terminal-Bench 2.0Source —77.5%Not comparable
Frequently Asked Questions (3)

Can I compare LFM2.5-350M and Ornith-1.0-397B 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 Ornith-1.0-397B today?

LFM2.5-350M: $0.00 input / $0.00 output per 1M tokens Ornith-1.0-397B: $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.

Related Comparisons

Explore More

LiquidAI Compare Pricing Methodology Find Your Best LLM Overall Rankings
Last updated: July 16, 2026

The AI models change fast. We track them for you.

A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.

Free. No spam. Unsubscribe anytime.