AI Rate CardQwen3 Embedding 4B vs E5 Multi-Lingual Large Embeddings 0.6B: API price and specs
Qwen3 Embedding 4B has a 6300% larger context than E5 Multi-Lingual Large Embeddings 0.6B.
| Field | Qwen3 Embedding 4B | E5 Multi-Lingual Large Embeddings 0.6B |
|---|---|---|
| Lowest input, per 1M | $0.01 | $0.01 |
| Median input, per 1M | $0.02 +28.6% | $0.01555 |
| Lowest output, per 1M | $0.01049 | — |
| Median output, per 1M | $0.03925 | — |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.0121 | — |
| Context | 33K | 512 +98.4% |
| Max output | 33K | — |
| Providers | 6 | 2 +66.7% |
| Regions | — | — |
| Accepts | text | text |
| Returns | text | text |
| Type | Embeddings | Embeddings |
| Free option | no | no |
| Cheapest provider | huggingface | deepinfra |
Your own workload: how many tokens the model gets (input) and gives back (output) - for example, in a month. The "Cost" row of the table above is recalculated for these numbers, for each model.
Computed from current offers each time the page opens; the best value of a row is bold, the percent is how far behind the best.
Providers selling both
Frequently asked questions
Which has the larger context, Qwen3 Embedding 4B or E5 Multi-Lingual Large Embeddings 0.6B?
Qwen3 Embedding 4B: 33K tokens; E5 Multi-Lingual Large Embeddings 0.6B: 512 tokens.
Where can I use both Qwen3 Embedding 4B and E5 Multi-Lingual Large Embeddings 0.6B?
deepinfra, trustedrouter