Compare/DeepSeek V3.1 Terminus (Non-reasoning) vs QwQ 32B

DeepSeek V3.1 Terminus (Non-reasoning)vsQwQ 32B

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

DeepSeek

DeepSeek V3.1 Terminus (Non-reasoning)

Input
$0.27/M
Output
$1/M
Speed
TTFT
Alibaba

QwQ 32B

Input
$0.66/M
Output
$1/M
Speed
TTFT

Winner by Category

Cheaper
DeepSeek V3.1 Terminus (Non-reasoning)
Faster (tok/s)
Lower Latency
Benchmarks (1-0)
DeepSeek V3.1 Terminus (Non-reasoning)

Pricing Comparison

MetricDeepSeek V3.1 Terminus (Non-reasoning)QwQ 32B
Input ($/M tokens)$0.27$0.66
Output ($/M tokens)$1$1
Cost for 1M input + 100K output tokens:
DeepSeek V3.1 Terminus (Non-reasoning)$0.37
QwQ 32B$0.76

Speed Comparison

Speed data not available for these models.

Editorial Analysis

Verdict. DeepSeek V3.1 Terminus (Non-reasoning) wins the overall benchmark matchup 1–0 across 1 overlapping categories, but raw benchmark score is only one input to the decision.

Pricing. Both models sit in the budget bracket for output-token pricing. At 1.0× the per-million-token cost, QwQ 32B is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). QwQ 32B makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. DeepSeek V3.1 Terminus (Non-reasoning) is strongest on Intelligence Index (21.7). QwQ 32B leads on Intelligence Index (13.4).

Speed. Speed data is incomplete for this pair; benchmark and price should decide.

Provider. DeepSeek and Alibaba sell to overlapping but distinct developer audiences: DeepSeek tends to ship frontier reasoning models with premium positioning, while Alibaba often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): DeepSeek V3.1 Terminus (Non-reasoning) costs $23.10 ($277/year); QwQ 32B costs $34.80 ($418/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): DeepSeek V3.1 Terminus (Non-reasoning) ≈ $3.35/run, QwQ 32B ≈ $5.30/run. At agent/realtime scale (200M input / 100M output per million requests): DeepSeek V3.1 Terminus (Non-reasoning) ≈ $154/run, QwQ 32B ≈ $232/run. DeepSeek V3.1 Terminus (Non-reasoning) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.

Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
21.713.4
Coding Index
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
DeepSeek V3.1 Terminus (Non-reasoning)1 wins
0 winsQwQ 32B

Frequently Asked Questions

Which is cheaper, DeepSeek V3.1 Terminus (Non-reasoning) or QwQ 32B?

DeepSeek V3.1 Terminus (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.45/M tokens vs $0.74/M for QwQ 32B.

Which model performs better on benchmarks?

DeepSeek V3.1 Terminus (Non-reasoning) wins 1 out of 12 benchmarks compared to 0 for QwQ 32B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Both models have comparable generation speeds.

When should I use DeepSeek V3.1 Terminus (Non-reasoning) vs QwQ 32B?

Choose based on your priorities: DeepSeek V3.1 Terminus (Non-reasoning) for lower cost, DeepSeek V3.1 Terminus (Non-reasoning) for stronger benchmark performance, and both have comparable speed. For latency-sensitive apps, check the TTFT comparison above.