Model comparison

Grok 4.20 (Non-Reasoning) vs Qwen3-Coder 480B-A35B Instruct

Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.5 to 37.7 on the Noometry Index.

Last verified . 22 shared benchmarks.

Summary

  • They share 22 benchmarks with published results for both. Grok 4.20 (Non-Reasoning) scores higher in 9 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.2 to 24.7.
  • The biggest single-benchmark swing is Terminal-Bench: 57.3% for Grok 4.20 (Non-Reasoning) and 27.2% for Qwen3-Coder 480B-A35B Instruct.
  • Grok 4.20 (Non-Reasoning) is cheaper at $1.25 / $2.50 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
  • Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 262K.
  • Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 (Non-Reasoning) and Qwen3-Coder 480B-A35B Instruct specifications
Grok 4.20 (Non-Reasoning)Qwen3-Coder 480B-A35B Instruct
ProviderxAIAlibaba (Qwen)
Noometry Index48.537.7
Released2026-02-172025-04
WeightsProprietaryOpen
Context window1M262K
Max output30K66K
Input $ / M tokens$1.25$1.50
Output $ / M tokens$2.50$7.50
Results tracked4625

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Category by category

Coding Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 41.8 (#104), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

Coding benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Qwen3-Coder 480B-A35B Instruct
LMArena WebDev13741275
WeirdML52.3%41.2%
LMArena Coding14581413
ALE-Bench1,150461.45
SWE-bench Verified (bash only)—55.4%
GSO—4.9%
AlgoTune—1.44

Agentic & Tool Use Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 34.3 (#43), Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

Agentic & Tool Use benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Qwen3-Coder 480B-A35B Instruct
Terminal-Bench57.3%27.2%
τ²-bench Banking18%—
LMArena Search1189—
Vending-Bench 24,663—

Reasoning Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 52.2 (#30), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

Reasoning benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Qwen3-Coder 480B-A35B Instruct
Kagi LLM Benchmark75%49.5%
LMArena Hard Prompts14511372
ARC-AGI-265.1%—
NYT Connections (extended)85.4%—
ARC-AGI-189.5%—
Chess Puzzles24%—
Thematic Generalization63.8%—
DTBench90.1%—
LMCA38.7%—
Epoch Capabilities Index152.01—
ForecastBench61.4—

Math Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 48.0 (#54), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

Math benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Qwen3-Coder 480B-A35B Instruct
LMArena Math14551364
FrontierMath (Tiers 1-3)44.9%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202592.2%—
ProofBench14%—

Knowledge Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 52.8 (#54), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

Knowledge benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Qwen3-Coder 480B-A35B Instruct
LMArena Expert14401337
GPQA Diamond89.3%—
SimpleQA Verified30.2%—

Multimodal Not comparable

Grok 4.20 (Non-Reasoning): 33.2 (#88), Qwen3-Coder 480B-A35B Instruct: —

Multimodal benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Qwen3-Coder 480B-A35B Instruct
LMArena Vision1263—
Blueprint-Bench 20%—
LMArena Document1416—

Multilingual Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 54.7 (#38), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

Multilingual benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Qwen3-Coder 480B-A35B Instruct
LMArena Non-English14401345
LMArena Chinese14811356
LMArena French14771394
LMArena German14631324
LMArena Japanese14501309
LMArena Korean14171307
LMArena Russian14571367
LMArena Spanish14421360

Instruction Following Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 75.0 (#79), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

Instruction Following benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Qwen3-Coder 480B-A35B Instruct
LMArena Instruction Following14201356

Long Context Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 45.4 (#33), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

Long Context benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Qwen3-Coder 480B-A35B Instruct
LMArena Longer Query14361379
CL-bench22.2%—
CL-bench Life11.9%—

Writing & Preference Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 65.9 (#42), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

Writing & Preference benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Qwen3-Coder 480B-A35B Instruct
LMArena Text14511356
LMArena Creative Writing14391333
LMArena Multi-Turn14561365
EQ-Bench Creative Writing1574—

Frequently asked questions

Is Grok 4.20 (Non-Reasoning) better than Qwen3-Coder 480B-A35B Instruct?

Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.5 to 37.7 on the Noometry Index.

Which is cheaper, Grok 4.20 (Non-Reasoning) or Qwen3-Coder 480B-A35B Instruct?

Grok 4.20 (Non-Reasoning) is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

Is Grok 4.20 (Non-Reasoning) or Qwen3-Coder 480B-A35B Instruct better for coding?

Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 41.8 versus 36.2 in the Noometry coding category.

Which has the bigger context window?

Grok 4.20 (Non-Reasoning) does, with 1M tokens against 262K.

How many benchmarks do Grok 4.20 (Non-Reasoning) and Qwen3-Coder 480B-A35B Instruct share?

22 benchmarks have published results for both models. Grok 4.20 (Non-Reasoning) has 46 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.

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