Qwen3 Embedding 8B vs Grok Build 0.1
At a Glance
| Compare | ||
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #1 of 44$0.0020 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.010Deepinfra ↗ · Sep 21, 2026 | $1.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 33K | 256K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 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 | Grok Build 0.1 |
|---|---|---|
| Developer | Qwen | xAI |
| Family | Qwen3 Embedding | Grok Build |
| Model | Qwen3 Embedding 8B | Grok Build 0.1 |
| Version | Qwen3 Embedding 8B | Grok Build 0.1 |
| Lifecycle | active | preview |
| Released | 2025-06-03 | 2026-05-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Embedding | Text |
| Context window | 33K | 256K |
| Total parameters | 8B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard) | Xai (Standard) |
| Capabilities | embeddings, multilingual, retrieval | chat, generation, reasoning, structured_outputs, tools |
Qwen3 Embedding 8B Capabilities
Grok Build 0.1 Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3 Embedding 8B vs Grok Build 0.1 FAQs
Is Qwen3 Embedding 8B or Grok Build 0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Embedding 8B and Grok Build 0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3 Embedding 8B or Grok Build 0.1?+
Qwen3 Embedding 8B is $0.010 and Grok Build 0.1 is $1.00 per million tokens, so Qwen3 Embedding 8B is cheaper on this metric. Only Grok Build 0.1 has a directly sourced output price: $2.00 per million tokens.
Which has a larger context window, Qwen3 Embedding 8B or Grok Build 0.1?+
Grok Build 0.1 has the larger sourced context window. Qwen3 Embedding 8B supports 33K and Grok Build 0.1 supports 256K.
Which performs better in benchmarks, Qwen3 Embedding 8B or Grok Build 0.1?+
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 Grok Build 0.1 be self-hosted?+
Qwen3 Embedding 8B is the only model in this pair currently marked as self-hostable. Qwen3 Embedding 8B is open weight; Grok Build 0.1 is not marked open weight.
Can Qwen3 Embedding 8B and Grok Build 0.1 understand images?+
Qwen3 Embedding 8B is not documented with image input; Grok Build 0.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3 Embedding 8B or Grok Build 0.1?+
Neither has a larger sourced maximum output. Qwen3 Embedding 8B is — and Grok Build 0.1 is —.
Do Qwen3 Embedding 8B and Grok Build 0.1 support reasoning and tool use?+
Qwen3 Embedding 8B: none of these features are definitively sourced. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3 Embedding 8B or Grok Build 0.1?+
Qwen3 Embedding 8B has 2 sourced provider routes; Grok Build 0.1 has 1, so Qwen3 Embedding 8B has broader tracked availability.
Which offers better value, Qwen3 Embedding 8B or Grok Build 0.1?+
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.