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Grok 4-20 vs Qwen3.5-9B

Complete pricing and performance comparison between xAI's Grok 4-20 and Alibaba's Qwen3.5-9B.

Quick Verdict

Cheaper
Qwen3.5-9B
40.0x cheaper input, 40.0x cheaper output
Larger Context
Qwen3.5-9B
262K vs 131K

Pricing Comparison

SpecGrok 4-20Qwen3.5-9BDifference
ProviderxAIAlibaba
Input / 1M tokens$2$0.05Qwen3.5-9B is 98% more expensive
Output / 1M tokens$6$0.15Qwen3.5-9B is 98% more expensive
Context Window131K262K2x difference
Max Output16K33K

Performance Benchmarks

MetricGrok 4-20Qwen3.5-9BWinner
Quality Index49--N/A
Output Speed100 tok/s--N/A
Value (Quality/$)24.3--Higher = better value

Benchmark data from Artificial Analysis. Quality Index is a composite score across reasoning, coding, and knowledge tasks.

Cost at Scale

Estimated cost at different usage levels (3:1 input-to-output token ratio, typical for chat).

UsageGrok 4-20Qwen3.5-9BSavings
Single request
1K in / 300 out
$0.0038$0.0001Qwen3.5-9B saves $0.0037
10 requests
10K in / 3K out
$0.038$0.0009Qwen3.5-9B saves $0.037
100 requests
100K in / 30K out
$0.380$0.0095Qwen3.5-9B saves $0.370
1,000 requests
1M in / 300K out
$3.80$0.095Qwen3.5-9B saves $3.70
10,000 requests
10M in / 3M out
$38.00$0.950Qwen3.5-9B saves $37.05
1M requests/mo
1B in / 300M out
$3800.00$95.00Qwen3.5-9B saves $3705.00

Pros & Cons

Grok 4-20 Strengths

Part of the xAI ecosystem

Qwen3.5-9B Strengths

  • +Cheaper input tokens
  • +Cheaper output tokens
  • +Larger context window (262K vs 131K)
  • +Higher max output tokens

When to Use Each Model

Choose Grok 4-20 for

  • Projects already integrated with xAI's ecosystem

Choose Qwen3.5-9B for

  • Budget-conscious projects where cost is the primary factor
  • Long documents, large codebases, or multi-turn conversations
  • Generating long-form content or detailed code

Frequently Asked Questions

Which is cheaper, Grok 4-20 or Qwen3.5-9B?
For input tokens, Qwen3.5-9B is 40.0x cheaper at $0.05/1M tokens. For output tokens, Qwen3.5-9B is 40.0x cheaper at $0.15/1M tokens. At typical usage (1M input + 300K output), Grok 4-20 costs $3.80 vs Qwen3.5-9B at $0.095.
What's the context window difference?
Grok 4-20 supports 131K context (131,072 tokens), while Qwen3.5-9B supports 262K (262,144 tokens). Qwen3.5-9B can handle 2x more context in a single request.
Which model has better benchmarks?
When should I choose Grok 4-20 over Qwen3.5-9B?
Choose Grok 4-20 when you need: a xAI ecosystem model. Choose Qwen3.5-9B when you need: Cheaper input tokens, Cheaper output tokens, Larger context window (262K vs 131K), Higher max output tokens.
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): Grok 4-20 = $38.00, Qwen3.5-9B = $0.950. At 10K input + 1K output per request (longer conversations): Grok 4-20 = $260.00, Qwen3.5-9B = $6.50.

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