Benchmarks1y ago
Qwen3 - GAIA
GAIA score 44.2 from WA0824
View sourceDevQuasar
Qwen.Qwen3-VL-Embedding-2B-GGUF is a open-weight DevQuasar multimodal model with a 262,144 token context window.
Running this yourself: can likely run on your own machine.
Live access is not confirmed for this model. No current purchase price is advertised.
No current subscription pricing is tracked for this model.
Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.
No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.
---
Quality Score
---
Arena ELO
2B
Parameters
262K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
13 of 22 public signals
Sign in to join the discussion
116.8K
Downloads
25
Likes
Jan 2026
Released
2/5 signals
2/4 signals
4/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
Benchmarks
1
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
GAIA score 44.2 from WA0824
View sourceQwen.Qwen3-VL-Embedding-2B-GGUF is now available through local Ollama runtime. 40K context window listed. Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
Qwen.Qwen3-VL-Embedding-2B-GGUF is now available through local Ollama runtime. 40K context window listed. Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.