Pairwise benchmark snapshot · Aug 17, 2026
In this head-to-head showdown, DeepSeek V4 Pro delivers higher overall intelligence and human-preferred responses (Elo 1,536 vs 1,495), while DeepSeek V4 Pro leads in SWE-bench software engineering benchmarks (71.6%), while Qwen QwQ 32B is more budget-friendly at $1.2/1M per 1M output tokens, while DeepSeek V4 Pro provides faster response streaming (70 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.
10 benchmarks evaluated across capability, speed, and cost
Open-weight-adjacent DeepSeek flagship. High reasoning density per dollar.
Alibaba specialized open reasoning model competing with frontier closed reasoning models.
Currently comparing DeepSeek V4 Pro vs Qwen QwQ 32B. Alternative family tiers available.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Δ 41 Arena Elo pts
70 tok/s
$1.2 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top standard models across 6 key capability 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 V4 Pro | Qwen QwQ 32B | Advantage Delta |
|---|---|---|---|
| Preference Elo | +41 | ||
| Coding Elo | +24 | ||
| LiveBench | +2.1% | ||
| SWE-bench | +4.1% | ||
| GPQA Diamond | +0.8% | ||
| Time to first token | +90 ms | ||
| Output speed | 70 tok/s | 68 tok/s | +2 tok/s |
| Input price | $1.32/1M | $0.3/1M | +$1.02/1M |
| Output price | $3.96/1M | $1.2/1M | +$2.76/1M |
| Context window | +918k |
Simulate monthly production API costs in USD (US Dollar).
Qwen QwQ 32B is estimated to save $77.10/month ($925/year).
Higher SWE-bench (71.6%).
Lower output list price ($1.2/1M).
Lower TTFT (320 ms).
Larger window (1M).
DeepSeek V4 Pro is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | DeepSeek V4 Pro | Higher SWE-bench (71.6%). |
| High-volume chat | Qwen QwQ 32B | Lower output list price ($1.2/1M). |
| Voice / low-latency UI | Qwen QwQ 32B | Lower TTFT (320 ms). |
| Long-document RAG | DeepSeek V4 Pro | Larger window (1M). |
| Screenshots / vision | DeepSeek V4 Pro | DeepSeek V4 Pro is the side marked multimodal in the catalog. |
Top DeepSeek vs top Anthropic Elo. Usually V4 Pro vs Opus 5. License and invoice decide as much as Elo.
2026-06 open-weight-adjacent flagship. The usual cheap-vs-Claude question starts here.
Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.
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