Qwen3 Embedding 8B vs Qwen3.5 397B A17B
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.010Deepinfra ↗ · Sep 22, 2026 | $0.45Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $3.00Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 33K | 262K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Qwen3 Embedding 8B | Qwen3.5-397B-A17B |
|---|---|---|
| Developer | Qwen | Qwen |
| Family | Qwen3 Embedding | Qwen3 5 397b A17b |
| Model | Qwen3 Embedding 8B | Qwen3.5-397B-A17B |
| Version | Qwen3 Embedding 8B | Qwen3.5-397B-A17B |
| Lifecycle | active | active |
| Released | 2025-06-03 | 2026-02-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Embedding | Text |
| Context window | 33K | 262K |
| Total parameters | 8B | 403.4B |
| Active parameters | Unknown | 17B |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | embeddings, multilingual, retrieval | chat, generation, reasoning, tools |
Qwen3 Embedding 8B Capabilities
Qwen3.5 397B A17B Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3 Embedding 8B vs Qwen3.5 397B A17B FAQs
Is Qwen3 Embedding 8B or Qwen3.5 397B A17B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Embedding 8B and Qwen3.5 397B A17B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3 Embedding 8B or Qwen3.5 397B A17B?+
Qwen3 Embedding 8B is $0.010 and Qwen3.5 397B A17B is $0.45 per million tokens, so Qwen3 Embedding 8B is cheaper on this metric. Only Qwen3.5 397B A17B has a directly sourced output price: $3.00 per million tokens.
Which has a larger context window, Qwen3 Embedding 8B or Qwen3.5 397B A17B?+
Qwen3.5 397B A17B has the larger sourced context window. Qwen3 Embedding 8B supports 33K and Qwen3.5 397B A17B supports 262K.
Which performs better in benchmarks, Qwen3 Embedding 8B or Qwen3.5 397B A17B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3 Embedding 8B or Qwen3.5 397B A17B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3 Embedding 8B is open weight; Qwen3.5 397B A17B is open weight.
Can Qwen3 Embedding 8B and Qwen3.5 397B A17B understand images?+
Qwen3 Embedding 8B is not documented with image input; Qwen3.5 397B A17B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3 Embedding 8B or Qwen3.5 397B A17B?+
Neither has a larger sourced maximum output. Qwen3 Embedding 8B is — and Qwen3.5 397B A17B is —.
Do Qwen3 Embedding 8B and Qwen3.5 397B A17B support reasoning and tool use?+
Qwen3 Embedding 8B: none of these features are definitively sourced. Qwen3.5 397B A17B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3 Embedding 8B or Qwen3.5 397B A17B?+
Qwen3 Embedding 8B has 2 sourced provider routes; Qwen3.5 397B A17B has 4, so Qwen3.5 397B A17B has broader tracked availability.
Which offers better value, Qwen3 Embedding 8B or Qwen3.5 397B A17B?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.