llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

Kitefishai model product

Nano-Em1-0.6B-v2.1

1 is an embedding model from Kitefishai ranked in MTEB.

Updated Sep 8, 2026. Default version: Nano-Em1-0.6B-v2.1

LLMBoard Embedding Score68.6Nano-Em1-0.6B-v2.1
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

Nano-Em1-0.6B-v2.1 Capability Profile

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

Nano-Em1-0.6B-v2.1 LLMBoard score breakdown

Nano-Em1-0.6B-v2.1 Benchmark Results

Benchmark scores for Nano-Em1-0.6B-v2.1.

5 rows
Columns

Show columns

Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB English v2 ClassificationScore88.74%Rank17Participants257Percentile93.75%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 Semantic SimilarityScore85.44%Rank17Participants211Percentile92.38%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RerankingScore49.49%Rank27Participants241Percentile89.17%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClusteringScore55.43%Rank34Participants217Percentile84.72%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RetrievalScore46.63%Rank128Participants212Percentile39.81%EvidenceAEvaluatedN/A

Nano-Em1-0.6B-v2.1 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.

Nano-Em1-0.6B-v2.1 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.

Nano-Em1-0.6B-v2.1 Runtime Performance

Provider-specific output speed and catalog latency for Nano-Em1-0.6B-v2.1. 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.

Nano-Em1-0.6B-v2.1 Specifications

Technical details for the model's default version.

Version
Nano-Em1-0.6B-v2.1
Released
Aug 11, 2026
Knowledge cutoff
Unknown
Parameters
596M
Context window
41K
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
Yes
License
apache-2.0

Nano-Em1-0.6B-v2.1 Versions

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

1 row
Columns

Show columns

Sort by
Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionNano-Em1-0.6B-v2.1ReleasedAug 11, 2026LLMBoard68.59Parameters596MContext41KMax outputN/AOpen weightsYesLicenseapache-2.0

Models similar to Nano-Em1-0.6B-v2.1

Recommendations prioritize the same model type and family, then the closest LLMBoard score.

#155-16.16
KI

Nano-Em1-0.6B-v2

Kitefishai

52.43 LLMBoard

Details
#52-0.15
JI

jina-embeddings-v3

Jinaai

68.44 LLMBoard

Details
#50+0.17
AV

GIST-large-Embedding-v0

Avsolatorio

68.76 LLMBoard

Details
#53-0.45
CA

F2LLM-v2-330M

Codefuse Ai

68.14 LLMBoard

Details
#54-0.57
MA

mxbai-embed-large-v1

Mixedbread Ai

68.02 LLMBoard

Details
#55-0.77
QU

EVA02-CLIP-bigE-14-plus

Quansun

67.82 LLMBoard

Details

What is Nano-Em1-0.6B-v2.1?

Key information about Nano-Em1-0.6B-v2.1 and its available data.

1 is an embedding model developed by Kitefishai. It is listed as a ranked model in MTEB.

Data as of 2026-09-08.

FAQ

Common questions about Nano-Em1-0.6B-v2.1.

When was Nano-Em1-0.6B-v2.1 released?

Nano-Em1-0.6B-v2.1's default version was released on Aug 11, 2026.

How much does Nano-Em1-0.6B-v2.1 cost?

No official standard PAYG price is currently available for Nano-Em1-0.6B-v2.1.

Who created Nano-Em1-0.6B-v2.1?

Nano-Em1-0.6B-v2.1 was created by Kitefishai.

What is the context window for Nano-Em1-0.6B-v2.1?

The default version has a 41K token context window.

Is Nano-Em1-0.6B-v2.1 open weight?

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

How many API providers offer Nano-Em1-0.6B-v2.1?

No provider offering is currently linked to the default version.

Browse runtime rankings