Pairwise benchmark snapshot · Aug 16, 2026
In this head-to-head showdown, Qwen3.8 27B delivers higher overall intelligence and human-preferred responses (Elo 1,398 vs 1,365), while DeepSeek Coder V2 leads in SWE-bench software engineering benchmarks (60.5%), while DeepSeek Coder V2 is more budget-friendly at $0.28/1M per 1M output tokens, while Qwen3.8 27B provides faster response streaming (152 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.
10 direct benchmark disciplines evaluated across capability, speed, and cost
DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.
Alibaba open-weight 27B drop dated Aug 14 2026. Dense enough to self-host; not a frontier MoE.
Δ 33 Arena Elo pts
152 tok/s
$0.28 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | DeepSeek Coder V2 | Qwen3.8 27B | Advantage Delta |
|---|---|---|---|
| Preference Elo | +33 | ||
| Coding Elo | +20 | ||
| LiveBench | +2% | ||
| SWE-bench | +1.7% | ||
| GPQA Diamond | +3.2% | ||
| Time to first token | +150 ms | ||
| Output speed | 75 tok/s | 152 tok/s | +77 tok/s |
| Input price | $0.14/1M | +$0.04/1M | |
| Output price | $0.28/1M | +$0.12/1M | |
| Context window | +3k |
Simulate monthly production API costs in USD (US Dollar).
DeepSeek Coder V2 is estimated to save $0.40/month ($5/year).
Higher SWE-bench (60.5%).
Lower output list price ($0.28/1M).
Lower TTFT (140 ms).
Larger window (131k).
Qwen3.8 27B is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | DeepSeek Coder V2 | Higher SWE-bench (60.5%). |
| High-volume chat | DeepSeek Coder V2 | Lower output list price ($0.28/1M). |
| Voice / low-latency UI | Qwen3.8 27B | Lower TTFT (140 ms). |
| Long-document RAG | Qwen3.8 27B | Larger window (131k). |
| Screenshots / vision | Qwen3.8 27B | Qwen3.8 27B is the side marked multimodal in the catalog. |
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