Qwen3.8 27B vs DeepSeek V4 Pro Base
At a Glance
| Compare |  Qwen3.8 27BQwen |  DeepSeek V4 Pro BaseDeepSeek |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #30 of 4654.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.0–69.4 | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #16 of 44$0.072 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #17 of 3854.8 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 45.8–62.5 | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.20Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.50Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | 1,049K |
| Model facts checked | Aug 28, 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 | Qwen3.8-27B | DeepSeek-V4-Pro-Base |
|---|---|---|
| Developer | Qwen | DeepSeek |
| Family | Qwen3 8 27b | Deepseek V4 Pro Base |
| Model | Qwen3.8-27B | DeepSeek-V4-Pro-Base |
| Version | Qwen3.8-27B | DeepSeek-V4-Pro-Base |
| Lifecycle | active | active |
| Released | Unknown | 2026-04-24 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 1,049K |
| Total parameters | 27.8B | 1.6T |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | generation |
Qwen3.8 27B Capabilities
DeepSeek V4 Pro Base Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Qwen3.8-27BQwen | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs | Claude Fable 5.1Anthropic | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Qwen3.8-27BQwen | vs | DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs | Grok 4.6xAI | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs | Qwen3.8-MaxQwen | family variantsimage, text |
Qwen3.8-27BQwen | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Qwen3.8-27BQwen | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Qwen3.8-27BQwen | vs |  Hy4 previewTencent | cross-developer peerstext |
Qwen3.8-27BQwen | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 27B vs DeepSeek V4 Pro Base FAQs
Is Qwen3.8 27B or DeepSeek V4 Pro Base better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 27B and DeepSeek V4 Pro Base, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.8 27B or DeepSeek V4 Pro Base?+
Only Qwen3.8 27B has a directly sourced input price: $0.20 per million tokens. Only Qwen3.8 27B has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, Qwen3.8 27B or DeepSeek V4 Pro Base?+
DeepSeek V4 Pro Base has the larger sourced context window. Qwen3.8 27B supports 262K and DeepSeek V4 Pro Base supports 1,049K.
Which performs better in benchmarks, Qwen3.8 27B or DeepSeek V4 Pro Base?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.8 27B or DeepSeek V4 Pro Base be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.8 27B is open weight; DeepSeek V4 Pro Base is open weight.
Can Qwen3.8 27B and DeepSeek V4 Pro Base understand images?+
Qwen3.8 27B is documented with image input; DeepSeek V4 Pro Base is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.8 27B or DeepSeek V4 Pro Base?+
Neither has a larger sourced maximum output. Qwen3.8 27B is 131K and DeepSeek V4 Pro Base is —.
Do Qwen3.8 27B and DeepSeek V4 Pro Base support reasoning and tool use?+
Qwen3.8 27B: reasoning, tool calling, and image input. DeepSeek V4 Pro Base: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 27B or DeepSeek V4 Pro Base?+
Qwen3.8 27B has 3 sourced provider routes; DeepSeek V4 Pro Base has 0, so Qwen3.8 27B has broader tracked availability.
Which offers better value, Qwen3.8 27B or DeepSeek V4 Pro Base?+
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.