Cohere Embed Multilingual Light v3.0
- Family
- Cohere Embed
- Released
- 2023-11-02
- Context
- 512
- Architecture
- Encoder Only
- Specialization
- embedding
- Openness
- Proprietary
- License
- ProprietaryRestricted
- Weights
- Not released
- Code
- Unknown
No tracked provider pricing is available yet.
No tracked provider pricing is available yet.
About
Smaller, faster multilingual embedding model. Produces 384-dimensional embeddings with performance comparable to Embed Multilingual v3.0 but with reduced latency. Supports text and image inputs across multiple languages.
Providers(1)
Compare API pricing across 1 tracked provider route for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Cohere API | - | - | ServerlessPartial |
Available via routers & gateways(4)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 500+ models from 80+ providers via a single OpenAI-compatible API, with an optional Auto Router that selects a model per prompt from market spend data.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, caching, and guardrails; MIT-licensed open-source core is self-hostable. Now part of Palo Alto Networks as Prisma AIRS AI Gateway.
Kong AI Gateway
GatewayMulti-LLM AI gateway built on Kong Gateway 3.x, adding semantic routing, load balancing, guardrails, and MCP traffic analytics as plugins over Kong's existing API management platform.
Capabilities
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Benchmark scores(1)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| 62.75 | MTEB(eng, v2)Observed 2026-10-17 | Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasks Evaluator: MTEB (embeddings-benchmark/results) Confidence: confirmed Notes: MTEB(eng, v2) Mean (Task) 62.75 over 41 tasks; Mean (TaskType) 58.49. Computed with the leaderboard's own code (mteb 2.26.6 Benchmark summary table) from embeddings-benchmark/results @ 4bb41dd (2026-10-17). Source: MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17. Results folder includes an 'external' (copied/reported) revision alongside maintainer-run results. |
Migration checks
No linked migration route is available for this model yet.