Qwen3 Embedding 8B vs GLM 5.3 Flash
At a Glance
| Compare |  GLM 5.3 FlashZ.ai | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #29 of 4654.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.4–69.8 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #2 of 44$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #1 of 3877.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 68.2–84.9 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.010Deepinfra ↗ · Sep 22, 2026 | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 33K | 1,000K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 2, 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 | GLM-5.3-Flash |
|---|---|---|
| Developer | Qwen | Z.ai |
| Family | Qwen3 Embedding | Glm 5 3 Flash |
| Model | Qwen3 Embedding 8B | GLM-5.3-Flash |
| Version | Qwen3 Embedding 8B | GLM-5.3-Flash |
| Lifecycle | active | active |
| Released | 2025-06-03 | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Document |
| Output modalities | Embedding | Text |
| Context window | 33K | 1,000K |
| Total parameters | 8B | 320B |
| Active parameters | Unknown | 18B |
| License | apache-2.0 | MIT |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | embeddings, multilingual, retrieval | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
Qwen3 Embedding 8B Capabilities
GLM 5.3 Flash Capabilities
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| vs |  DeepSeek-V4.1-FlashDeepSeek | 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 GLM 5.3 Flash FAQs
Is Qwen3 Embedding 8B or GLM 5.3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Embedding 8B and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3 Embedding 8B or GLM 5.3 Flash?+
Qwen3 Embedding 8B is $0.010 and GLM 5.3 Flash is $0.075 per million tokens, so Qwen3 Embedding 8B is cheaper on this metric. Only GLM 5.3 Flash has a directly sourced output price: $0.25 per million tokens.
Which has a larger context window, Qwen3 Embedding 8B or GLM 5.3 Flash?+
GLM 5.3 Flash has the larger sourced context window. Qwen3 Embedding 8B supports 33K and GLM 5.3 Flash supports 1,000K.
Which performs better in benchmarks, Qwen3 Embedding 8B or GLM 5.3 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 GLM 5.3 Flash be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3 Embedding 8B is open weight; GLM 5.3 Flash is open weight.
Can Qwen3 Embedding 8B and GLM 5.3 Flash understand images?+
Qwen3 Embedding 8B is not documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3 Embedding 8B or GLM 5.3 Flash?+
Neither has a larger sourced maximum output. Qwen3 Embedding 8B is — and GLM 5.3 Flash is 131K.
Do Qwen3 Embedding 8B and GLM 5.3 Flash support reasoning and tool use?+
Qwen3 Embedding 8B: none of these features are definitively sourced. GLM 5.3 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 GLM 5.3 Flash?+
Qwen3 Embedding 8B has 2 sourced provider routes; GLM 5.3 Flash has 4, so GLM 5.3 Flash has broader tracked availability.
Which offers better value, Qwen3 Embedding 8B or GLM 5.3 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.