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Compare/Qwen3 235B A22B (Non-reasoning) vs Apodex 1.1

Qwen3 235B A22B (Non-reasoning)vsApodex 1.1

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

Alibaba

Qwen3 235B A22B (Non-reasoning)

Input
$0.7/M
Output
$2.8/M
Speed
60 tok/s
TTFT
2.74s
Apodex

Apodex 1.1

Input
$0.3/M
Output
$3/M
Speed
—
TTFT
—

Winner by Category

Cheaper
Apodex 1.1
Faster (tok/s)
Qwen3 235B A22B (Non-reasoning)
Lower Latency
Qwen3 235B A22B (Non-reasoning)
Benchmarks (0-2)
Apodex 1.1

Pricing Comparison

MetricQwen3 235B A22B (Non-reasoning)Apodex 1.1
Input ($/M tokens)$0.7$0.3
Output ($/M tokens)$2.8$3
Cost for 1M input + 100K output tokens:
Qwen3 235B A22B (Non-reasoning)$0.98
Apodex 1.1$0.60

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 235B A22B (Non-reasoning)
60 tok/s
Apodex 1.1
—
Time to First Token (seconds) — lower is better
Qwen3 235B A22B (Non-reasoning)
2.74s
Apodex 1.1
—

Editorial Analysis

Verdict. Apodex 1.1 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 budget bracket for output-token pricing. At 0.9× the per-million-token cost, Qwen3 235B A22B (Non-reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Qwen3 235B A22B (Non-reasoning) makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Qwen3 235B A22B (Non-reasoning) is strongest on Intelligence Index (8.3). Apodex 1.1 leads on Coding Index (60.8), Intelligence Index (30.4).

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

Provider. Alibaba and Apodex sell to overlapping but distinct developer audiences: Alibaba tends to ship frontier reasoning models with premium positioning, while Apodex 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 235B A22B (Non-reasoning) costs $63.00 ($756/year); Apodex 1.1 costs $54.00 ($648/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Qwen3 235B A22B (Non-reasoning) ≈ $9.10/run, Apodex 1.1 ≈ $7.50/run. At agent/realtime scale (200M input / 100M output per million requests): Qwen3 235B A22B (Non-reasoning) ≈ $420/run, Apodex 1.1 ≈ $360/run. Apodex 1.1 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
8.330.4
Coding Index
—60.8
Math Index
——
GPQA Diamond
——
MMLU-Pro
——
LiveCodeBench
——
AIME 2025
——
MATH-500
——
Humanity's Last Exam
——
SciCode
——
IFBench
——
TerminalBench
——
Qwen3 235B A22B (Non-reasoning)0 wins
2 winsApodex 1.1

Frequently Asked Questions

Which is cheaper, Qwen3 235B A22B (Non-reasoning) or Apodex 1.1?

Apodex 1.1 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.97/M tokens vs $1.23/M for Qwen3 235B A22B (Non-reasoning).

Which model performs better on benchmarks?

Apodex 1.1 wins 2 out of 12 benchmarks compared to 0 for Qwen3 235B A22B (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3 235B A22B (Non-reasoning) generates tokens faster at 60 tok/s vs — tok/s. Qwen3 235B A22B (Non-reasoning) also has lower time-to-first-token (2.74s vs —s).

When should I use Qwen3 235B A22B (Non-reasoning) vs Apodex 1.1?

Choose based on your priorities: Apodex 1.1 for lower cost, Apodex 1.1 for stronger benchmark performance, and Qwen3 235B A22B (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.