Advertisement
Compare/Qwen3.8 Max vs Grok 4.20 0309 (Non-reasoning)

Qwen3.8 MaxvsGrok 4.20 0309 (Non-reasoning)

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

Alibaba

Qwen3.8 Max

Input
$2/M
Output
$6/M
Speed
41 tok/s
TTFT
2.70s
SpaceXAI

Grok 4.20 0309 (Non-reasoning)

Input
$2/M
Output
$6/M
Speed
—
TTFT
—

Winner by Category

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

Pricing Comparison

MetricQwen3.8 MaxGrok 4.20 0309 (Non-reasoning)
Input ($/M tokens)$2$2
Output ($/M tokens)$6$6
Cost for 1M input + 100K output tokens:
Qwen3.8 Max$2.60
Grok 4.20 0309 (Non-reasoning)$2.60

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.8 Max
41 tok/s
Grok 4.20 0309 (Non-reasoning)
—
Time to First Token (seconds) — lower is better
Qwen3.8 Max
2.70s
Grok 4.20 0309 (Non-reasoning)
—

Editorial Analysis

Verdict. Qwen3.8 Max 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 mid-tier bracket for output-token pricing. At 1.0× the per-million-token cost, Grok 4.20 0309 (Non-reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Grok 4.20 0309 (Non-reasoning) makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Qwen3.8 Max is strongest on Coding Index (71.8), Intelligence Index (40.3). Grok 4.20 0309 (Non-reasoning) leads on Intelligence Index (14.6).

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

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): Qwen3.8 Max costs $150.00 ($1800/year); Grok 4.20 0309 (Non-reasoning) costs $150.00 ($1800/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Qwen3.8 Max ≈ $22.00/run, Grok 4.20 0309 (Non-reasoning) ≈ $22.00/run. At agent/realtime scale (200M input / 100M output per million requests): Qwen3.8 Max ≈ $1000/run, Grok 4.20 0309 (Non-reasoning) ≈ $1000/run.

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
40.314.6
Coding Index
71.8—
Math Index
——
GPQA Diamond
——
MMLU-Pro
——
LiveCodeBench
——
AIME 2025
——
MATH-500
——
Humanity's Last Exam
——
SciCode
——
IFBench
——
TerminalBench
——
Qwen3.8 Max2 wins
0 winsGrok 4.20 0309 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, Qwen3.8 Max or Grok 4.20 0309 (Non-reasoning)?

Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.

Which model performs better on benchmarks?

Qwen3.8 Max wins 2 out of 12 benchmarks compared to 0 for Grok 4.20 0309 (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.8 Max generates tokens faster at 41 tok/s vs — tok/s. Qwen3.8 Max also has lower time-to-first-token (2.70s vs —s).

When should I use Qwen3.8 Max vs Grok 4.20 0309 (Non-reasoning)?

Choose based on your priorities: both are similarly priced, Qwen3.8 Max for stronger benchmark performance, and Qwen3.8 Max for faster generation. For latency-sensitive apps, check the TTFT comparison above.