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

Apsarastackmaas model product

EvoQwen2.5-VL-Retriever-7B-v1

5-VL-Retriever-7B-v1 is an embedding model from Apsarastackmaas.

Updated Sep 8, 2026. Default version: EvoQwen2.5-VL-Retriever-7B-v1

LLMBoard Embedding Score51.3EvoQwen2.5-VL-Retriever-7B-v1
Coverage5%1 benchmark families
Context window128KTokens
Official input priceN/AOfficial price unavailable

On this page

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

EvoQwen2.5-VL-Retriever-7B-v1 Capability Profile

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

EvoQwen2.5-VL-Retriever-7B-v1 LLMBoard score breakdown

EvoQwen2.5-VL-Retriever-7B-v1 Benchmark Results

Benchmark scores for EvoQwen2.5-VL-Retriever-7B-v1.

1 row
Columns

Show columns

Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMIEB English MultimodalScore90.68%Rank19Participants84Percentile78.31%EvidenceAEvaluatedN/A

EvoQwen2.5-VL-Retriever-7B-v1 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.

EvoQwen2.5-VL-Retriever-7B-v1 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.

EvoQwen2.5-VL-Retriever-7B-v1 Runtime Performance

Provider-specific output speed and catalog latency for EvoQwen2.5-VL-Retriever-7B-v1. 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.

EvoQwen2.5-VL-Retriever-7B-v1 Specifications

Technical details for the model's default version.

Version
EvoQwen2.5-VL-Retriever-7B-v1
Released
Nov 4, 2025
Knowledge cutoff
Unknown
Parameters
7B
Context window
128K
Max output
N/A
Inputs
image, text
Outputs
embedding
Open weights
Yes
License
apache-2.0

EvoQwen2.5-VL-Retriever-7B-v1 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
VersionEvoQwen2.5-VL-Retriever-7B-v1ReleasedNov 4, 2025LLMBoard51.34Parameters7BContext128KMax outputN/AOpen weightsYesLicenseapache-2.0

Models similar to EvoQwen2.5-VL-Retriever-7B-v1

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

#173-0.06
AP

EvoQwen2.5-VL-Retriever-3B-v1

Apsarastackmaas

51.28 LLMBoard

Details
#171+0.07
LE

LCO-Embedding-Omni-7B

Lco Embedding

51.41 LLMBoard

Details
#170+0.11
VA

SauerkrautLM-ColQwen3-4b-v0.1

Vagosolutions

51.45 LLMBoard

Details
#169+0.22
VA

SauerkrautLM-ColQwen3-8b-v0.1

Vagosolutions

51.56 LLMBoard

Details
#174-0.22
NA

nomic-embed-text-v2-moe

Nomic Ai

51.12 LLMBoard

Details
#175-0.24
SN

snowflake-arctic-embed-m-v2.0

Snowflake

51.10 LLMBoard

Details

What is EvoQwen2.5-VL-Retriever-7B-v1?

Key information about EvoQwen2.5-VL-Retriever-7B-v1 and its available data.

5-VL-Retriever-7B-v1 is an embedding model from Apsarastackmaas. It is a ranked model from MTEB.

Data as of 2026-09-08.

FAQ

Common questions about EvoQwen2.5-VL-Retriever-7B-v1.

When was EvoQwen2.5-VL-Retriever-7B-v1 released?

EvoQwen2.5-VL-Retriever-7B-v1's default version was released on Nov 4, 2025.

How much does EvoQwen2.5-VL-Retriever-7B-v1 cost?

No official standard PAYG price is currently available for EvoQwen2.5-VL-Retriever-7B-v1.

Who created EvoQwen2.5-VL-Retriever-7B-v1?

EvoQwen2.5-VL-Retriever-7B-v1 was created by Apsarastackmaas.

What is the context window for EvoQwen2.5-VL-Retriever-7B-v1?

The default version has a 128K token context window.

Is EvoQwen2.5-VL-Retriever-7B-v1 open weight?

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

How many API providers offer EvoQwen2.5-VL-Retriever-7B-v1?

No provider offering is currently linked to the default version.

Browse runtime rankings