Qwen3.8 27B vs DeepSeek V4 Pro 0813
At a Glance
| Compare |  Qwen3.8 27BQwen |  DeepSeek V4 Pro 0813DeepSeek |
|---|---|---|
| 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 | #20 of 4665.0 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | #16 of 44$0.072 per LiveBench case | #20 of 44$0.094 per LiveBench case |
| 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 | #14 of 3857.4 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.20Deepinfra ↗ · Sep 21, 2026 | $1.30Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | $2.50Deepinfra ↗ · Sep 21, 2026 | $2.60Deepinfra ↗ · Sep 21, 2026 |
| Context windowMaximum documented tokens | 262K | 1,049K |
| Model facts checked | Aug 28, 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
| Benchmark | Qwen3.8-27B | DeepSeek-V4-Pro-0813 |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -0.6495% of row best · score · Qwen 3.8 27B; 95% CI [-1.36495564, 0.07819043]; sessions 37257; observations 4349219; rank 29 | 4.14100% of row best · score · DeepSeek V4 Pro (High) (0813); 95% CI [3.35150819, 4.93122185]; sessions 47602; observations 4132769; rank 16 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,439.27100% of row best · rating · qwen3.8-27b; 95% CI [1432.84410050, 1445.69542028]; votes 10697; rank 68 | 1,443.95100% of row best · rating · deepseek-v4-pro-high-20260813; 95% CI [1437.16050212, 1450.73220317]; votes 9008; rank 58 |
| LiveBench2026-06-25 · overall · leader | 78.0295% of row best · percent · qwen3.8-27b · 28,740 output tokens / case | 81.91100% of row best · percent · deepseek-v4-pro-0813 · 36,339 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 0 benchmark wins | 2 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Qwen3.8-27B | DeepSeek-V4-Pro-0813 |
|---|---|---|
| Developer | Qwen | DeepSeek |
| Family | Qwen3 8 27b | Deepseek V4 Pro |
| Model | Qwen3.8-27B | DeepSeek-V4-Pro-0813 |
| Version | Qwen3.8-27B | DeepSeek-V4-Pro-0813 |
| Lifecycle | active | active |
| Released | Unknown | 2026-08-13 |
| 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 | 49B |
| License | apache-2.0 | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, coding, generation, reasoning, tools |
Qwen3.8 27B Capabilities
DeepSeek V4 Pro 0813 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 0813 FAQs
Is Qwen3.8 27B or DeepSeek V4 Pro 0813 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 27B and DeepSeek V4 Pro 0813, 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 0813?+
Qwen3.8 27B is $0.20 and DeepSeek V4 Pro 0813 is $1.30 per million tokens, so Qwen3.8 27B is cheaper on this metric. Qwen3.8 27B is $2.50 and DeepSeek V4 Pro 0813 is $2.60 per million tokens, so Qwen3.8 27B is cheaper on this metric.
Which has a larger context window, Qwen3.8 27B or DeepSeek V4 Pro 0813?+
DeepSeek V4 Pro 0813 has the larger sourced context window. Qwen3.8 27B supports 262K and DeepSeek V4 Pro 0813 supports 1,049K.
Which performs better in benchmarks, Qwen3.8 27B or DeepSeek V4 Pro 0813?+
DeepSeek V4 Pro 0813 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Qwen3.8 27B or DeepSeek V4 Pro 0813 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.8 27B is open weight; DeepSeek V4 Pro 0813 is open weight.
Can Qwen3.8 27B and DeepSeek V4 Pro 0813 understand images?+
Qwen3.8 27B is documented with image input; DeepSeek V4 Pro 0813 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 0813?+
Neither has a larger sourced maximum output. Qwen3.8 27B is 131K and DeepSeek V4 Pro 0813 is —.
Do Qwen3.8 27B and DeepSeek V4 Pro 0813 support reasoning and tool use?+
Qwen3.8 27B: reasoning, tool calling, and image input. DeepSeek V4 Pro 0813: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 27B or DeepSeek V4 Pro 0813?+
Qwen3.8 27B has 3 sourced provider routes; DeepSeek V4 Pro 0813 has 3, a tie.
Which offers better value, Qwen3.8 27B or DeepSeek V4 Pro 0813?+
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.