Compare/Qwen3.8 27B vs Nova Pro

Qwen3.8 27BvsNova Pro

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

Alibaba

Qwen3.8 27B

Input
$0.45/M
Output
$3.2/M
Speed
TTFT
Amazon

Nova Pro

Input
$0.8/M
Output
$3.2/M
Speed
TTFT

Winner by Category

Cheaper
Qwen3.8 27B
Faster (tok/s)
Lower Latency
Benchmarks (2-0)
Qwen3.8 27B

Pricing Comparison

MetricQwen3.8 27BNova Pro
Input ($/M tokens)$0.45$0.8
Output ($/M tokens)$3.2$3.2
Cost for 1M input + 100K output tokens:
Qwen3.8 27B$0.77
Nova Pro$1.12

Speed Comparison

Speed data not available for these models.

Editorial Analysis

Verdict. Qwen3.8 27B wins the overall benchmark matchup 2–0 across 2 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, Nova Pro is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Nova Pro makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Qwen3.8 27B is strongest on Coding Index (68.1), Intelligence Index (52.0). Nova Pro leads on Intelligence Index (7.5).

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

Provider. Alibaba and Amazon sell to overlapping but distinct developer audiences: Alibaba tends to ship frontier reasoning models with premium positioning, while Amazon 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): Qwen3.8 27B costs $61.50 ($738/year); Nova Pro costs $72.00 ($864/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Qwen3.8 27B ≈ $8.65/run, Nova Pro ≈ $10.40/run. At agent/realtime scale (200M input / 100M output per million requests): Qwen3.8 27B ≈ $410/run, Nova Pro ≈ $480/run. Qwen3.8 27B 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
52.07.5
Coding Index
68.1
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Qwen3.8 27B2 wins
0 winsNova Pro

Frequently Asked Questions

Which is cheaper, Qwen3.8 27B or Nova Pro?

Qwen3.8 27B is cheaper overall. Its blended price (3:1 input/output ratio) is $1.14/M tokens vs $1.40/M for Nova Pro.

Which model performs better on benchmarks?

Qwen3.8 27B wins 2 out of 12 benchmarks compared to 0 for Nova Pro. 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 Qwen3.8 27B vs Nova Pro?

Choose based on your priorities: Qwen3.8 27B for lower cost, Qwen3.8 27B for stronger benchmark performance, and both have comparable speed. For latency-sensitive apps, check the TTFT comparison above.