
Embedding Models Pricing - June 2026
Embedding API cost comparison: voyage-4-lite, OpenAI 3-small, Jina v3, and Amazon Titan V2 tie at $0.02/MTok. Gemini Embedding 2 now GA, Cohere Embed 4 dimensions corrected to 1,536 default.
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Embedding API cost comparison: voyage-4-lite, OpenAI 3-small, Jina v3, and Amazon Titan V2 tie at $0.02/MTok. Gemini Embedding 2 now GA, Cohere Embed 4 dimensions corrected to 1,536 default.

Gemini 2.5 Flash still leads LIT-RAGBench English RAG accuracy at 87.0%, but the full benchmark data reveals two overlooked entries: GPT-4.1-mini at 84.1% and o4-mini at 83.9%.

IBM's Granite Embedding Multilingual R2 ships with a 64x context window jump, ModernBERT architecture, and Apache 2.0 licensing that makes it enterprise-safe out of the box.

We compared Mem0, Zep, Letta, LangMem, and Cognee on architecture, benchmarks, pricing, and use cases to find the right memory layer for your agent stack.

Five AI document processing tools compared on accuracy, pricing, and format support - from enterprise IDP to lightweight PDF parsing APIs.

April 2026 rankings of the top embedding models by MTEB score - Gemini Embedding 001, NV-Embed-v2, Qwen3-Embedding-8B, and the new Jina v4 multimodal release compared for RAG and search.

MIT researchers show that treating long documents as a Python environment - and letting models recursively spawn sub-models to explore them - beats RAG and extended context windows on every benchmark tested.

A data-driven comparison of LangSmith, Langfuse, Arize Phoenix, WhyLabs, TruLens, Datadog, Galileo, W&B Weave, and more - the top LLM tracing, eval, and production monitoring platforms for 2026.

Per-query pricing for search APIs used in AI agents and RAG pipelines - Brave, Tavily, Exa, SerpAPI, Serper, Perplexity Sonar, You.com, Jina Reader, Firecrawl, and more compared at 10k, 100k, and 1M queries.

Tested rankings of AI PDF tools across two categories: consumer chat apps and developer extraction APIs, with verified pricing and benchmark data.

A data-driven comparison of 12 vector databases for RAG and AI workloads, with verified pricing, benchmark numbers, and honest trade-off analysis.

Rankings of the top embedding and RAG systems across BEIR, MTEB retrieval, MIRACL, MS MARCO, KILT, HotpotQA, and RAGTruth hallucination benchmarks as of April 2026.