Compare/Qwen3 Max (Preview) vs Grok 4.5 (high)

Qwen3 Max (Preview)vsGrok 4.5 (high)

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

Alibaba

Qwen3 Max (Preview)

Input
$1.2/M
Output
$6/M
Speed
58 tok/s
TTFT
4.19s
SpaceXAI

Grok 4.5 (high)

Input
$2/M
Output
$6/M
Speed
64 tok/s
TTFT
5.85s

Winner by Category

Cheaper
Qwen3 Max (Preview)
Faster (tok/s)
Grok 4.5 (high)
Lower Latency
Qwen3 Max (Preview)
Benchmarks (0-2)
Grok 4.5 (high)

Pricing Comparison

MetricQwen3 Max (Preview)Grok 4.5 (high)
Input ($/M tokens)$1.2$2
Output ($/M tokens)$6$6
Cost for 1M input + 100K output tokens:
Qwen3 Max (Preview)$1.80
Grok 4.5 (high)$2.60

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 Max (Preview)
58 tok/s
Grok 4.5 (high)
64 tok/s
Time to First Token (seconds) — lower is better
Qwen3 Max (Preview)
4.19s
Grok 4.5 (high)
5.85s

Editorial Analysis

Verdict. Grok 4.5 (high) takes the aggregate benchmark matchup 2–0 across 2 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.

Pricing. Both models sit in the mid-tier bracket for output-token pricing. At 1.0× the per-million-token cost, Grok 4.5 (high) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Grok 4.5 (high) makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Qwen3 Max (Preview) is strongest on Intelligence Index (19.4). Grok 4.5 (high) leads on Coding Index (72.4), Intelligence Index (55.8).

Speed. Throughput is comparable — 58 tok/s vs 64 tok/s — so generation speed shouldn't drive your choice here. Look at the per-benchmark wins instead.

Provider. Alibaba and SpaceXAI sell to overlapping but distinct developer audiences: Alibaba tends to ship frontier reasoning models with premium positioning, while SpaceXAI 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 Max (Preview) costs $126.00 ($1512/year); Grok 4.5 (high) costs $150.00 ($1800/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Qwen3 Max (Preview) ≈ $18.00/run, Grok 4.5 (high) ≈ $22.00/run. At agent/realtime scale (200M input / 100M output per million requests): Qwen3 Max (Preview) ≈ $840/run, Grok 4.5 (high) ≈ $1000/run. Qwen3 Max (Preview) 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
19.455.8
Coding Index
72.4
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Qwen3 Max (Preview)0 wins
2 winsGrok 4.5 (high)

Frequently Asked Questions

Which is cheaper, Qwen3 Max (Preview) or Grok 4.5 (high)?

Qwen3 Max (Preview) is cheaper overall. Its blended price (3:1 input/output ratio) is $2.40/M tokens vs $3.00/M for Grok 4.5 (high).

Which model performs better on benchmarks?

Grok 4.5 (high) wins 2 out of 12 benchmarks compared to 0 for Qwen3 Max (Preview). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Grok 4.5 (high) generates tokens faster at 64 tok/s vs 58 tok/s. Qwen3 Max (Preview) also has lower time-to-first-token (4.19s vs 5.85s).

When should I use Qwen3 Max (Preview) vs Grok 4.5 (high)?

Choose based on your priorities: Qwen3 Max (Preview) for lower cost, Grok 4.5 (high) for stronger benchmark performance, and Grok 4.5 (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.