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 1,425), while DeepSeek V4 Pro leads in SWE-bench software engineering benchmarks (71.6%), while Qwen2.5 Coder 32B Instruct is more budget-friendly at $1/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
7 direct benchmark disciplines evaluated across capability, speed, and cost
Open-weight-adjacent DeepSeek flagship. High reasoning density per dollar.
Auto-discovered from OpenRouter (qwen/qwen-2.5-coder-32b-instruct). Preview until a second source matches.
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 111 Arena Elo pts
No latency data
$1 / 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 V4 Pro | Qwen2.5 Coder 32B Instruct | Advantage Delta |
|---|---|---|---|
| Preference Elo | +111 | ||
| Coding Elo | +49 | ||
| LiveBench | +5.3% | ||
| SWE-bench | +6.4% | ||
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | 70 tok/s | — | — |
| Input price | $1.32/1M | $0.66/1M | +$0.66/1M |
| Output price | $3.96/1M | +$2.96/1M | |
| Context window | +1M |
Simulate monthly production API costs in USD (US Dollar).
Qwen2.5 Coder 32B Instruct is estimated to save $67.50/month ($810/year).
Higher SWE-bench (71.6%).
Lower output list price ($1/1M).
Need TTFT on both sides.
Larger window (1M).
Qwen2.5 Coder 32B Instruct 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 | Qwen2.5 Coder 32B Instruct | Lower output list price ($1/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | DeepSeek V4 Pro | Larger window (1M). |
| Screenshots / vision | Qwen2.5 Coder 32B Instruct | Qwen2.5 Coder 32B Instruct 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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Verified Head-to-Head Telemetry
