Compare/Qwen3.5 27B (Reasoning) vs Grok 4.3 (low)

Qwen3.5 27B (Reasoning)vsGrok 4.3 (low)

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

Alibaba

Qwen3.5 27B (Reasoning)

Input
$0.3/M
Output
$2.4/M
Speed
84 tok/s
TTFT
1.40s
SpaceXAI

Grok 4.3 (low)

Input
$1.25/M
Output
$2.5/M
Speed
99 tok/s
TTFT
7.92s

Winner by Category

Cheaper
Qwen3.5 27B (Reasoning)
Faster (tok/s)
Grok 4.3 (low)
Lower Latency
Qwen3.5 27B (Reasoning)
Benchmarks (3-3)
Tie

Pricing Comparison

MetricQwen3.5 27B (Reasoning)Grok 4.3 (low)
Input ($/M tokens)$0.3$1.25
Output ($/M tokens)$2.4$2.5
Cost for 1M input + 100K output tokens:
Qwen3.5 27B (Reasoning)$0.54
Grok 4.3 (low)$1.50

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.5 27B (Reasoning)
84 tok/s
Grok 4.3 (low)
99 tok/s
Time to First Token (seconds) — lower is better
Qwen3.5 27B (Reasoning)
1.40s
Grok 4.3 (low)
7.92s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
33.835.4
Coding Index
Math Index
GPQA Diamond
85.8%84.3%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
22.2%17.3%
SciCode
39.5%41.9%
IFBench
75.6%81.0%
TerminalBench
32.6%26.5%
Qwen3.5 27B (Reasoning)3 wins
3 winsGrok 4.3 (low)

Frequently Asked Questions

Which is cheaper, Qwen3.5 27B (Reasoning) or Grok 4.3 (low)?

Qwen3.5 27B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.82/M tokens vs $1.56/M for Grok 4.3 (low).

Which model performs better on benchmarks?

It's a tie — both models win 3 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Grok 4.3 (low) generates tokens faster at 99 tok/s vs 84 tok/s. Qwen3.5 27B (Reasoning) also has lower time-to-first-token (1.40s vs 7.92s).

When should I use Qwen3.5 27B (Reasoning) vs Grok 4.3 (low)?

Choose based on your priorities: Qwen3.5 27B (Reasoning) for lower cost, both perform similarly on benchmarks, and Grok 4.3 (low) for faster generation. For latency-sensitive apps, check the TTFT comparison above.