Compare/Grok 4 Fast (Non-reasoning) vs Qwen2.5 Instruct 72B

Grok 4 Fast (Non-reasoning)vsQwen2.5 Instruct 72B

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

SpaceXAI

Grok 4 Fast (Non-reasoning)

Input
$0.2/M
Output
$0.5/M
Speed
TTFT
Alibaba

Qwen2.5 Instruct 72B

Input
$0.47/M
Output
$0.49/M
Speed
TTFT

Winner by Category

Cheaper
Grok 4 Fast (Non-reasoning)
Faster (tok/s)
Lower Latency
Benchmarks (1-0)
Grok 4 Fast (Non-reasoning)

Pricing Comparison

MetricGrok 4 Fast (Non-reasoning)Qwen2.5 Instruct 72B
Input ($/M tokens)$0.2$0.47
Output ($/M tokens)$0.5$0.49
Cost for 1M input + 100K output tokens:
Grok 4 Fast (Non-reasoning)$0.25
Qwen2.5 Instruct 72B$0.52

Speed Comparison

Speed data not available for these models.

Editorial Analysis

Verdict. Grok 4 Fast (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, Qwen2.5 Instruct 72B is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Qwen2.5 Instruct 72B makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Grok 4 Fast (Non-reasoning) is strongest on Intelligence Index (16.6). Qwen2.5 Instruct 72B leads on Intelligence Index (9.4).

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

Provider. SpaceXAI and Alibaba sell to overlapping but distinct developer audiences: SpaceXAI 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): Grok 4 Fast (Non-reasoning) costs $13.50 ($162/year); Qwen2.5 Instruct 72B costs $21.45 ($257/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Grok 4 Fast (Non-reasoning) ≈ $2.00/run, Qwen2.5 Instruct 72B ≈ $3.33/run. At agent/realtime scale (200M input / 100M output per million requests): Grok 4 Fast (Non-reasoning) ≈ $90/run, Qwen2.5 Instruct 72B ≈ $143/run. Grok 4 Fast (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
16.69.4
Coding Index
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Grok 4 Fast (Non-reasoning)1 wins
0 winsQwen2.5 Instruct 72B

Frequently Asked Questions

Which is cheaper, Grok 4 Fast (Non-reasoning) or Qwen2.5 Instruct 72B?

Grok 4 Fast (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.28/M tokens vs $0.47/M for Qwen2.5 Instruct 72B.

Which model performs better on benchmarks?

Grok 4 Fast (Non-reasoning) wins 1 out of 12 benchmarks compared to 0 for Qwen2.5 Instruct 72B. 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 Grok 4 Fast (Non-reasoning) vs Qwen2.5 Instruct 72B?

Choose based on your priorities: Grok 4 Fast (Non-reasoning) for lower cost, Grok 4 Fast (Non-reasoning) for stronger benchmark performance, and both have comparable speed. For latency-sensitive apps, check the TTFT comparison above.