Model comparison

Qwen3-1.7B vs Qwen3-30B-A3B

Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 26.6 on the Noometry Index.

Last verified . 4 shared benchmarks.

Qwen3-1.7B Alibaba (Qwen)

26.6

Rank #336 Reported

Qwen3-30B-A3B Alibaba (Qwen)

38.9

Rank #179 Confirmed

Summary

  • They share 4 benchmarks with published results for both. Qwen3-1.7B scores higher in 0 categories and Qwen3-30B-A3B in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3-30B-A3B leads 41.8 to 19.6.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 8.1% for Qwen3-1.7B and 70.3% for Qwen3-30B-A3B.

Side by side

Qwen3-1.7B and Qwen3-30B-A3B specifications
Qwen3-1.7BQwen3-30B-A3B
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index26.638.9
Released2025-04-292025-04-28
WeightsOpenOpen
Context window—41K
Max output—16K
Input $ / M tokens—$0.12
Output $ / M tokens—$0.50
Results tracked432

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Category by category

Coding Not comparable

Qwen3-1.7B: —, Qwen3-30B-A3B: 37.5 (#194)

Coding benchmarks
BenchmarkQwen3-1.7BQwen3-30B-A3B
SciCode—33.3%
WeirdML—29.8%
LMArena Coding—1416

Agentic & Tool Use Qwen3-30B-A3B leads

Qwen3-1.7B: 24.7 (#115), Qwen3-30B-A3B: 29.8 (#82)

Agentic & Tool Use benchmarks
BenchmarkQwen3-1.7BQwen3-30B-A3B
Berkeley Function Calling Leaderboard28.4%41.4%

Reasoning Qwen3-30B-A3B leads

Qwen3-1.7B: 19.2 (#267), Qwen3-30B-A3B: 22.2 (#204)

Reasoning benchmarks
BenchmarkQwen3-1.7BQwen3-30B-A3B
Chess Puzzles0%8%
Kagi LLM Benchmark—54.9%
CritPt—0.3%
LMArena Hard Prompts—1398
DTBench—69.3%
LMCA—22.4%
Epoch Capabilities Index—139.63

Math Qwen3-30B-A3B leads

Qwen3-1.7B: 16.3 (#294), Qwen3-30B-A3B: 37.4 (#157)

Math benchmarks
BenchmarkQwen3-1.7BQwen3-30B-A3B
OTIS Mock AIME 2024-20258.1%70.3%
MathArena Final-Answer Competitions—47.8%
LMArena Math—1394

Knowledge Qwen3-30B-A3B leads

Qwen3-1.7B: 19.6 (#278), Qwen3-30B-A3B: 41.8 (#105)

Knowledge benchmarks
BenchmarkQwen3-1.7BQwen3-30B-A3B
GPQA Diamond38%70.1%
Confabulations—12.3%
LMArena Expert—1396

Multilingual Not comparable

Qwen3-1.7B: —, Qwen3-30B-A3B: 49.5 (#132)

Multilingual benchmarks
BenchmarkQwen3-1.7BQwen3-30B-A3B
LMArena Non-English—1372
LMArena Chinese—1433
LMArena French—1418
LMArena German—1380
LMArena Japanese—1337
LMArena Korean—1331
LMArena Russian—1370
LMArena Spanish—1404

Instruction Following Not comparable

Qwen3-1.7B: —, Qwen3-30B-A3B: 72.0 (#142)

Instruction Following benchmarks
BenchmarkQwen3-1.7BQwen3-30B-A3B
LMArena Instruction Following—1363

Long Context Not comparable

Qwen3-1.7B: —, Qwen3-30B-A3B: 31.0 (#283)

Long Context benchmarks
BenchmarkQwen3-1.7BQwen3-30B-A3B
Fiction.LiveBench—40.6%
LMArena Longer Query—1379

Writing & Preference Not comparable

Qwen3-1.7B: —, Qwen3-30B-A3B: 55.6 (#143)

Writing & Preference benchmarks
BenchmarkQwen3-1.7BQwen3-30B-A3B
LMArena Text—1384
LMArena Creative Writing—1317
Short-Story Creative Writing—75.3%
LMArena Multi-Turn—1378

Frequently asked questions

Is Qwen3-1.7B better than Qwen3-30B-A3B?

Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 26.6 on the Noometry Index.

How many benchmarks do Qwen3-1.7B and Qwen3-30B-A3B share?

4 benchmarks have published results for both models. Qwen3-1.7B has 4 scored results on Noometry and Qwen3-30B-A3B has 32.

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