Qwen3 Embedding 8B vs DeepSeek V4.1 Flash
At a Glance
| Compare |  DeepSeek V4.1 FlashDeepSeek | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #5 of 44$0.022 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.010Deepinfra ↗ · Sep 22, 2026 | $0.15DeepSeek ↗ · Sep 10, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.60Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 33K | 1,049K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 10, 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 | DeepSeek-V4.1-Flash |
|---|---|---|
| Developer | Qwen | DeepSeek |
| Family | Qwen3 Embedding | Deepseek V4 1 |
| Model | Qwen3 Embedding 8B | DeepSeek-V4.1-Flash |
| Version | Qwen3 Embedding 8B | DeepSeek-V4.1-Flash |
| Lifecycle | active | active |
| Released | 2025-06-03 | 2026-09-10 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Embedding | Text |
| Context window | 33K | 1,049K |
| Total parameters | 8B | 763.2B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard) | DeepSeek (Standard), Deepinfra (Standard), Together Ai (Standard) |
| Capabilities | embeddings, multilingual, retrieval | agents, chat, fim, generation, reasoning, responses, structured_outputs, tools, vision |
| Architecture design | Unknown | Causal Encoder-Decoder (20 encoder + 20 decoder layers) |
| Backbone parameters | Unknown | 552000000000 parameters |
| Active parameters during decode | Unknown | 16000000000 parameters |
| Active parameters during prefill | Unknown | 8000000000 parameters |
| Pre-training corpus | Unknown | 45000000000000 tokens |
| Reasoning effort range | Unknown | 1–100 |
| Routed experts per MoE layer | Unknown | 384 experts |
| Routed experts per token | Unknown | 6 experts |
| Transformer layers | Unknown | 40 layers |
Qwen3 Embedding 8B Capabilities
DeepSeek V4.1 Flash Capabilities
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
| vs | DeepSeek-V4-FlashDeepSeek | cross-developer peers | |
| vs |  GPT-6 AstraOpenAI | cross-developer peers | |
| vs | Claude Fable 5.1Anthropic | cross-developer peers | |
| vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peers | |
| vs | Grok 4.6xAI | cross-developer peers | |
| vs |  Qwen3.8-MaxQwen | family variants | |
| vs |  Kimi-K3Moonshot AI | cross-developer peersembedding | |
 MiniMax-M3MiniMax | vs | cross-developer peers | |
| vs |  GLM-5.3Z.ai | cross-developer peers | |
| vs |  Hy4 previewTencent | cross-developer peers | |
| vs | Seed 2.1 ProByteDance Seed | cross-developer peers | |
| vs |  Mistral Large 3Mistral AI | cross-developer peers |
Primary Evidence
Sources and Freshness
Questions
Qwen3 Embedding 8B vs DeepSeek V4.1 Flash FAQs
Is Qwen3 Embedding 8B or DeepSeek V4.1 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Embedding 8B and DeepSeek V4.1 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3 Embedding 8B or DeepSeek V4.1 Flash?+
Qwen3 Embedding 8B is $0.010 and DeepSeek V4.1 Flash is $0.15 per million tokens, so Qwen3 Embedding 8B is cheaper on this metric. Only DeepSeek V4.1 Flash has a directly sourced output price: $0.60 per million tokens.
Which has a larger context window, Qwen3 Embedding 8B or DeepSeek V4.1 Flash?+
DeepSeek V4.1 Flash has the larger sourced context window. Qwen3 Embedding 8B supports 33K and DeepSeek V4.1 Flash supports 1,049K.
Which performs better in benchmarks, Qwen3 Embedding 8B or DeepSeek V4.1 Flash?+
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 DeepSeek V4.1 Flash be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3 Embedding 8B is open weight; DeepSeek V4.1 Flash is open weight.
Can Qwen3 Embedding 8B and DeepSeek V4.1 Flash understand images?+
Qwen3 Embedding 8B is not documented with image input; DeepSeek V4.1 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3 Embedding 8B or DeepSeek V4.1 Flash?+
Neither has a larger sourced maximum output. Qwen3 Embedding 8B is — and DeepSeek V4.1 Flash is 393K.
Do Qwen3 Embedding 8B and DeepSeek V4.1 Flash support reasoning and tool use?+
Qwen3 Embedding 8B: none of these features are definitively sourced. DeepSeek V4.1 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3 Embedding 8B or DeepSeek V4.1 Flash?+
Qwen3 Embedding 8B has 2 sourced provider routes; DeepSeek V4.1 Flash has 3, so DeepSeek V4.1 Flash has broader tracked availability.
Which offers better value, Qwen3 Embedding 8B or DeepSeek V4.1 Flash?+
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.