Tiger Lab model product
VLM2Vec-Full
VLM2Vec-Full is an embedding model from Tiger Lab that is ranked on MTEB.
Updated Sep 8, 2026. Default version: VLM2Vec-Full
LLMBoard Embedding Score41.5VLM2Vec-Full
Coverage50%4 benchmark families
Context window131.1KTokens
Official input priceN/AOfficial price unavailable
VLM2Vec-Full Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
VLM2Vec-Full Benchmark Results
Benchmark scores for VLM2Vec-Full.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMIEB English Semantic Similarity | Score54.04% | Rank18 | Participants50 | Percentile65.31% | EvidenceA | EvaluatedN/A |
| BenchmarkMIEB English Clustering | Score70.72% | Rank40 | Participants49 | Percentile18.75% | EvidenceA | EvaluatedN/A |
| BenchmarkMIEB English Classification | Score54.15% | Rank45 | Participants49 | Percentile8.33% | EvidenceA | EvaluatedN/A |
| BenchmarkMIEB English Multimodal | Score38.72% | Rank55 | Participants84 | Percentile34.94% | EvidenceA | EvaluatedN/A |
VLM2Vec-Full 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.
VLM2Vec-Full 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.
VLM2Vec-Full Runtime Performance
Provider-specific output speed and catalog latency for VLM2Vec-Full. 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.
VLM2Vec-Full Specifications
Technical details for the model's default version.
- Version
- VLM2Vec-Full
- Released
- Oct 8, 2024
- Knowledge cutoff
- Unknown
- Parameters
- 4.1B
- Context window
- 131.1K
- Max output
- N/A
- Inputs
- image, text
- Outputs
- embedding
- Open weights
- Yes
- License
- apache-2.0
VLM2Vec-Full Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
Sort by
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionVLM2Vec-Full | Released | LLMBoard41.45 | Parameters4.1B | Context131.1K | Max outputN/A | Open weightsYes | Licenseapache-2.0 |
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What is VLM2Vec-Full?
Key information about VLM2Vec-Full and its available data.
VLM2Vec-Full is an embedding model developed by Tiger Lab. It is listed as a ranked model on MTEB.
Data as of 2026-09-08.
FAQ
Common questions about VLM2Vec-Full.
When was VLM2Vec-Full released?
VLM2Vec-Full's default version was released on Oct 8, 2024.
How much does VLM2Vec-Full cost?
No official standard PAYG price is currently available for VLM2Vec-Full.
Who created VLM2Vec-Full?
VLM2Vec-Full was created by Tiger Lab.
What is the context window for VLM2Vec-Full?
The default version has a 131.1K token context window.
Is VLM2Vec-Full open weight?
Yes. The default version is marked as open weight under apache-2.0.
How many API providers offer VLM2Vec-Full?
No provider offering is currently linked to the default version.