Qwen3 Embedding 8B vs Claude Opus 4.7
At a Glance
| Compare | Claude Opus 4.7Anthropic | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #11 of 4679.0 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #37 of 44$0.286 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #20 of 3852.7 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.010Deepinfra ↗ · Sep 22, 2026 | $5.00Anthropic ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $25.00Anthropic ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 33K | 1,000K |
| 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 | Claude Opus 4.7 |
|---|---|---|
| Developer | Qwen | Anthropic |
| Family | Qwen3 Embedding | Claude 4 |
| Model | Qwen3 Embedding 8B | Claude Opus 4.7 |
| Version | Qwen3 Embedding 8B | Claude Opus 4.7 |
| Lifecycle | active | active |
| Released | 2025-06-03 | 2026-04-16 |
| Knowledge cutoff | Unknown | 2026-01-01 |
| Input modalities | Text | Text, Image |
| Output modalities | Embedding | Text |
| Context window | 33K | 1,000K |
| 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) | Anthropic (Standard), Deepinfra (Standard) |
| Capabilities | embeddings, multilingual, retrieval | chat, generation, reasoning, structured_outputs, tools |
Qwen3 Embedding 8B Capabilities
Claude Opus 4.7 Capabilities
Related Comparisons
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|---|---|---|---|
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| vs | Claude Fable 5.1Anthropic | cross-developer peers | |
| vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peers | |
| 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 Claude Opus 4.7 FAQs
Is Qwen3 Embedding 8B or Claude Opus 4.7 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Embedding 8B and Claude Opus 4.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3 Embedding 8B or Claude Opus 4.7?+
Qwen3 Embedding 8B is $0.010 and Claude Opus 4.7 is $5.00 per million tokens, so Qwen3 Embedding 8B is cheaper on this metric. Only Claude Opus 4.7 has a directly sourced output price: $25.00 per million tokens.
Which has a larger context window, Qwen3 Embedding 8B or Claude Opus 4.7?+
Claude Opus 4.7 has the larger sourced context window. Qwen3 Embedding 8B supports 33K and Claude Opus 4.7 supports 1,000K.
Which performs better in benchmarks, Qwen3 Embedding 8B or Claude Opus 4.7?+
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 Claude Opus 4.7 be self-hosted?+
Qwen3 Embedding 8B is the only model in this pair currently marked as self-hostable. Qwen3 Embedding 8B is open weight; Claude Opus 4.7 is not marked open weight.
Can Qwen3 Embedding 8B and Claude Opus 4.7 understand images?+
Qwen3 Embedding 8B is not documented with image input; Claude Opus 4.7 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3 Embedding 8B or Claude Opus 4.7?+
Neither has a larger sourced maximum output. Qwen3 Embedding 8B is — and Claude Opus 4.7 is 128K.
Do Qwen3 Embedding 8B and Claude Opus 4.7 support reasoning and tool use?+
Qwen3 Embedding 8B: none of these features are definitively sourced. Claude Opus 4.7: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3 Embedding 8B or Claude Opus 4.7?+
Qwen3 Embedding 8B has 2 sourced provider routes; Claude Opus 4.7 has 2, a tie.
Which offers better value, Qwen3 Embedding 8B or Claude Opus 4.7?+
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.