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Grok 4.20 vs Qwen2.5 Coder 32B Instruct

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Grok 4.20 and Qwen2.5 Coder 32B Instruct.

xAI

Grok 4.20

Grok 4.20 is xAI's most advanced reasoning model, combining powerful analytical capabilities with unique real-time integration to the X (formerly Twitter) platform data stream. This live data access allows Grok 4.20 to answer queries with up-to-the-minute context, making it invaluable for financial analysis, current events research, and real-time market monitoring. Exceptionally strong in physics, advanced mathematics, and code synthesis, it operates with a 2-million-token context window and is priced at $1.25/MTok for input โ€” delivering frontier-tier reasoning at a highly competitive cost for developers building intelligent agents and analytical tools.

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Alibaba

Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

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Technical Specifications

SpecificationGrok 4.20Qwen2.5 Coder 32B Instruct
ProviderxAIAlibaba
Context Window2,000,000 tokens128,000 tokens
Agent Suitability90/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-052024-11-11

API Pricing Comparison

Input Price per Million Tokens

Grok 4.20

$1.25

Qwen2.5 Coder 32B Instruct

$0.66

Output Price per Million Tokens

Grok 4.20

$2.50

Qwen2.5 Coder 32B Instruct

$1.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9470.0%vs8120.0%
Grok 4.20
Qwen2.5 Coder 32B Instruct
HumanEvalPython coding & logic synthesis
9700.0%vs9150.0%
Grok 4.20
Qwen2.5 Coder 32B Instruct
MATHComplex mathematical problem solving
9380.0%vs6800.0%
Grok 4.20
Qwen2.5 Coder 32B Instruct
GPQAGraduate-level expert reasoning
8490.0%vs4050.0%
Grok 4.20
Qwen2.5 Coder 32B Instruct
HellaSwagCommonsense reasoning and inference
9880.0%vs8400.0%
Grok 4.20
Qwen2.5 Coder 32B Instruct
MT-BenchMulti-turn conversation flow quality
970.0%vs885.0%
Grok 4.20
Qwen2.5 Coder 32B Instruct

Grok 4.20 Quirks & Gotchas

  • โ–ธReal-time X data access โ€” unparalleled for current events / financial analysis
  • โ–ธTool calling API is still maturing โ€” test thoroughly for production agentic use

Qwen2.5 Coder 32B Instruct Quirks & Gotchas

No developer gotchas reported.