Model comparison

Laguna M.1 vs Qwen3 235B-A22B

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 32.5 on the Noometry Index.

Last verified . 0 shared benchmarks.

Laguna M.1 Poolside

32.5

Rank #256 Reported

Qwen3 235B-A22B Alibaba (Qwen)

43.5

Rank #91 Confirmed

Summary

  • The widest gap is in math, where Qwen3 235B-A22B leads 50.4 to 21.1.
  • Laguna M.1 accepts more context: 262K tokens versus 131K.

Side by side

Laguna M.1 and Qwen3 235B-A22B specifications
Laguna M.1Qwen3 235B-A22B
ProviderPoolsideAlibaba (Qwen)
Noometry Index32.543.5
Released2026-04-282025-04
WeightsOpenOpen
Context window262K131K
Max output33K16K
Input $ / M tokens—$0.70
Output $ / M tokens—$2.80
Results tracked349

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Category by category

Coding Qwen3 235B-A22B leads

Laguna M.1: 36.6 (#204), Qwen3 235B-A22B: 44.3 (#75)

Coding benchmarks
BenchmarkLaguna M.1Qwen3 235B-A22B
Aider Polyglot—59.6%
LMArena WebDev1349—
SciCode—42.4%
WeirdML—41%
LMArena Coding—1445

Agentic & Tool Use Not comparable

Laguna M.1: —, Qwen3 235B-A22B: 33.9 (#51)

Agentic & Tool Use benchmarks
BenchmarkLaguna M.1Qwen3 235B-A22B
Berkeley Function Calling Leaderboard—52.1%
Vending-Bench 2—-11.34

Reasoning Laguna M.1 leads

Laguna M.1: 23.1 (#184), Qwen3 235B-A22B: 15.7 (#311)

Reasoning benchmarks
BenchmarkLaguna M.1Qwen3 235B-A22B
ARC-AGI-2—1.3%
SimpleBench—31%
Kagi LLM Benchmark—69.4%
ARC-AGI-1—11%
CritPt—0%
Chess Puzzles—12%
LMArena Hard Prompts—1433
Mystery Game Puzzles—9%
DTBench—80.3%
LMCA—29.3%
Surface Evolver Bench15.6%—
Epoch Capabilities Index—143.85
ForecastBench—59.7

Math Qwen3 235B-A22B leads

Laguna M.1: 21.1 (#283), Qwen3 235B-A22B: 50.4 (#57)

Math benchmarks
BenchmarkLaguna M.1Qwen3 235B-A22B
OTIS Mock AIME 2024-2025—86.7%
ProofBench0%—
Omni-MATH—71.8%
LMArena Math—1432
MATH Level 5—68.9%
FrontierMath (Feb 2025 set)—8.5%
FrontierMath Tier 4 (v1)—0%

Knowledge Not comparable

Laguna M.1: —, Qwen3 235B-A22B: 49.6 (#73)

Knowledge benchmarks
BenchmarkLaguna M.1Qwen3 235B-A22B
GPQA Diamond—80.1%
SimpleQA Verified—40.4%
MMLU-Pro—84.4%
Confabulations—15.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—72.7%
LMArena Expert—1463

Multilingual Not comparable

Laguna M.1: —, Qwen3 235B-A22B: 52.3 (#89)

Multilingual benchmarks
BenchmarkLaguna M.1Qwen3 235B-A22B
LMArena Non-English—1409
LMArena Chinese—1481
LMArena French—1445
LMArena German—1433
LMArena Japanese—1399
LMArena Korean—1391
LMArena Russian—1411
LMArena Spanish—1430

Instruction Following Not comparable

Laguna M.1: —, Qwen3 235B-A22B: 72.6 (#136)

Instruction Following benchmarks
BenchmarkLaguna M.1Qwen3 235B-A22B
IFEval—83.5%
LMArena Instruction Following—1408

Long Context Not comparable

Laguna M.1: —, Qwen3 235B-A22B: 46.1 (#26)

Long Context benchmarks
BenchmarkLaguna M.1Qwen3 235B-A22B
Fiction.LiveBench—75%
LMArena Longer Query—1426

Writing & Preference Not comparable

Laguna M.1: —, Qwen3 235B-A22B: 59.6 (#108)

Writing & Preference benchmarks
BenchmarkLaguna M.1Qwen3 235B-A22B
LMArena Text—1419
LMArena Creative Writing—1384
Short-Story Creative Writing—83%
EQ-Bench Creative Writing—1366
WildBench—86.6%
LMArena Multi-Turn—1432

Frequently asked questions

Is Laguna M.1 better than Qwen3 235B-A22B?

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 32.5 on the Noometry Index.

Is Laguna M.1 or Qwen3 235B-A22B better for coding?

Qwen3 235B-A22B scores higher on coding benchmarks: 44.3 versus 36.6 in the Noometry coding category.

Which has the bigger context window?

Laguna M.1 does, with 262K tokens against 131K.

How many benchmarks do Laguna M.1 and Qwen3 235B-A22B share?

0 benchmarks have published results for both models. Laguna M.1 has 3 scored results on Noometry and Qwen3 235B-A22B has 49.

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