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Codefuse Ai model product

F2LLM-v2-160M

F2LLM-v2-160M is an embedding model from Codefuse Ai, ranked by MTEB.

Updated Sep 8, 2026. Default version: F2LLM-v2-160M

LLMBoard Embedding Score55.6F2LLM-v2-160M
Coverage85%5 benchmark families
Context window41KTokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Similar models
  • About
  • FAQ

F2LLM-v2-160M Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

F2LLM-v2-160M LLMBoard score breakdown

F2LLM-v2-160M Benchmark Results

Benchmark scores for F2LLM-v2-160M.

5 rows
Columns

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB English v2 ClusteringScore52.55%Rank45Participants217Percentile79.63%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClassificationScore84.61%Rank62Participants257Percentile76.17%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 Semantic SimilarityScore80.76%Rank104Participants211Percentile50.95%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RetrievalScore49.33%Rank115Participants212Percentile45.97%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RerankingScore45.26%Rank159Participants241Percentile34.17%EvidenceAEvaluatedN/A

F2LLM-v2-160M Arena Results

Preference and agent-evaluation results for the default version.

No Arena results

The default version does not have a matching Arena result yet.

F2LLM-v2-160M Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
N/A
Tracked offerings
0
No provider prices

The default version has no current input or output token prices.

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

F2LLM-v2-160M Runtime Performance

Provider-specific output speed and catalog latency for F2LLM-v2-160M. Runtime does not affect the capability score.

No runtime data

No provider-specific speed or latency record is linked to the default version yet.

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

F2LLM-v2-160M Specifications

Technical details for the model's default version.

Version
F2LLM-v2-160M
Released
Mar 9, 2026
Knowledge cutoff
Unknown
Parameters
159M
Context window
41K
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
Yes
License
apache-2.0

F2LLM-v2-160M Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

1 row
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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionF2LLM-v2-160MReleasedMar 9, 2026LLMBoard55.60Parameters159MContext41KMax outputN/AOpen weightsYesLicenseapache-2.0

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Details

What is F2LLM-v2-160M?

Key information about F2LLM-v2-160M and its available data.

F2LLM-v2-160M is an embedding model from Codefuse Ai. It is listed as a ranked model from MTEB.

Data as of 2026-09-08.

FAQ

Common questions about F2LLM-v2-160M.

When was F2LLM-v2-160M released?

F2LLM-v2-160M's default version was released on Mar 9, 2026.

How much does F2LLM-v2-160M cost?

No official standard PAYG price is currently available for F2LLM-v2-160M.

Who created F2LLM-v2-160M?

F2LLM-v2-160M was created by Codefuse Ai.

What is the context window for F2LLM-v2-160M?

The default version has a 41K token context window.

Is F2LLM-v2-160M open weight?

Yes. The default version is marked as open weight under apache-2.0.

How many API providers offer F2LLM-v2-160M?

No provider offering is currently linked to the default version.

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