Compare/DeepSeek V3.1 (Reasoning) vs Qwen3.7 Plus

DeepSeek V3.1 (Reasoning)vsQwen3.7 Plus

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

DeepSeek

DeepSeek V3.1 (Reasoning)

Input
$0.59/M
Output
$1.69/M
Speed
TTFT
Alibaba

Qwen3.7 Plus

Input
$0.4/M
Output
$1.6/M
Speed
49 tok/s
TTFT
2.37s

Winner by Category

Cheaper
Qwen3.7 Plus
Faster (tok/s)
Qwen3.7 Plus
Lower Latency
DeepSeek V3.1 (Reasoning)
Benchmarks (4-7)
Qwen3.7 Plus

Pricing Comparison

MetricDeepSeek V3.1 (Reasoning)Qwen3.7 Plus
Input ($/M tokens)$0.59$0.4
Output ($/M tokens)$1.69$1.6
Cost for 1M input + 100K output tokens:
DeepSeek V3.1 (Reasoning)$0.76
Qwen3.7 Plus$0.56

Speed Comparison

Output Speed (tokens/s) — higher is better
DeepSeek V3.1 (Reasoning)
Qwen3.7 Plus
49 tok/s
Time to First Token (seconds) — lower is better
DeepSeek V3.1 (Reasoning)
Qwen3.7 Plus
2.37s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
20.739.0
Coding Index
55.9
Math Index
89.7
GPQA Diamond
77.9%90.0%
MMLU-Pro
85.1%
LiveCodeBench
78.4%
AIME 2025
89.7%
MATH-500
Humanity's Last Exam
13.0%33.4%
SciCode
39.1%45.5%
IFBench
41.5%78.0%
TerminalBench
25.0%47.0%
DeepSeek V3.1 (Reasoning)4 wins
7 winsQwen3.7 Plus

Frequently Asked Questions

Which is cheaper, DeepSeek V3.1 (Reasoning) or Qwen3.7 Plus?

Qwen3.7 Plus is cheaper overall. Its blended price (3:1 input/output ratio) is $0.70/M tokens vs $0.86/M for DeepSeek V3.1 (Reasoning).

Which model performs better on benchmarks?

Qwen3.7 Plus wins 7 out of 12 benchmarks compared to 4 for DeepSeek V3.1 (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.7 Plus generates tokens faster at 49 tok/s vs 0 tok/s. DeepSeek V3.1 (Reasoning) also has lower time-to-first-token (0.00s vs 2.37s).

When should I use DeepSeek V3.1 (Reasoning) vs Qwen3.7 Plus?

Choose based on your priorities: Qwen3.7 Plus for lower cost, Qwen3.7 Plus for stronger benchmark performance, and Qwen3.7 Plus for faster generation. For latency-sensitive apps, check the TTFT comparison above.