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Model comparison

Inkling vs LFM2.5-Embedding-350M

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.
Inkling
Thinking Machines Lab
67.54/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: Inkling #20 (Supported); LFM2.5-Embedding-350M unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Inkling and LFM2.5-Embedding-350M share 0 comparable benchmark results. 0 of 8 categories are comparable. 32 results are unique to Inkling; 2 to LFM2.5-Embedding-350M.

Updated July 21, 2026
Shared results
0
Inkling only
32
LFM2.5-Embedding-350M only
2
Comparable categories
0 / 8

Benchmark data for Inkling and LFM2.5-Embedding-350M 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Inkling is priced at $1.87 input / $4.68 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-Embedding-350M. Inkling has the larger context window at 1M, compared with 32K for LFM2.5-Embedding-350M.

Operational comparison

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

MetricInklingLFM2.5-Embedding-350MComparison
Input / output priceUSD per 1M tokensInkling$1.87 input / $4.68 outputLFM2.5-Embedding-350M$0 input / $0 outputLFM2.5-Embedding-350M has the lower combined listed price.
Generation speedtokens per secondInklingNot availableLFM2.5-Embedding-350MNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenInklingNot availableLFM2.5-Embedding-350MNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensInkling1MLFM2.5-Embedding-350M32KInkling lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkInklingLFM2.5-Embedding-350MResult
Terminal-Bench 2.0Source 63.8%—Not comparable
BrowseCompSource 77.1%—Not comparable
MCP AtlasSource 74.1%—Not comparable
Design Arena Agentic Web DevSource 1257—Not comparable
AA Agentic IndexSource 32.3%—Not comparable
GDPval-AASource 36.9%—Not comparable
GDPval-AASource 1239—Not comparable
AA BriefcaseSource 836—Not comparable
AA Tau3 BankingSource 23.7%—Not comparable
Coding
BenchmarkInklingLFM2.5-Embedding-350MResult
SWE-bench VerifiedSource 77.6%—Not comparable
SWE-bench ProSource 54.3%—Not comparable
Terminal-Bench 2.0Source 63.8%—Not comparable
AA Coding IndexSource 52.1%—Not comparable
AA-SciCodeSource 46.1%—Not comparable
Reasoning
BenchmarkInklingLFM2.5-Embedding-350MResult
AA-LCRSource 63.3%—Not comparable
CritPtSource 5.4%—Not comparable
Knowledge
BenchmarkInklingLFM2.5-Embedding-350MResult
GPQASource 87.9%—Not comparable
GPQA-DSource 87.9%—Not comparable
HLESource 46%—Not comparable
HLE w/o toolsSource 30%—Not comparable
Artificial Analysis Intelligence IndexSource 40.7%—Not comparable
AA-GPQA DiamondSource 87.2%—Not comparable
AA-HLESource 29.7%—Not comparable
AA-Omniscience IndexSource 2.1%—Not comparable
AA-Omniscience AccuracySource 40.0%—Not comparable
AA-Omniscience Hallucination RateSource 63.1%—Not comparable
Math
BenchmarkInklingLFM2.5-Embedding-350MResult
AIME26Source 97.1%—Not comparable
Multilingual
BenchmarkInklingLFM2.5-Embedding-350MResult
NanoBEIR MultilingualSource —57.7%Not comparable
MKQA-11Source —69.1%Not comparable
Multimodal
BenchmarkInklingLFM2.5-Embedding-350MResult
MMMU-ProSource 73.5%—Not comparable
CharXivSource 82%—Not comparable
CharXiv w/o toolsSource 78.1%—Not comparable
AA-MMMU-ProSource 73.5%—Not comparable
Inst. Following
BenchmarkInklingLFM2.5-Embedding-350MResult
IFBenchSource 79.8%—Not comparable
Frequently Asked Questions (3)

Can I compare Inkling and LFM2.5-Embedding-350M 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 Inkling and LFM2.5-Embedding-350M today?

Inkling: $1.87 input / $4.68 output per 1M tokens LFM2.5-Embedding-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 21, 2026

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