Model comparison

Grok 4.7 vs Laguna M.1

Grok 4.7 is the stronger model overall, scoring 53.1 to 32.5 on the Noometry Index.

Last verified . 2 shared benchmarks.

Grok 4.7 xAI

53.1

Rank #37 Confirmed

Laguna M.1 Poolside

32.5

Rank #256 Reported

Summary

  • They share 2 benchmarks with published results for both. Grok 4.7 scores higher in 3 categories and Laguna M.1 in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where Grok 4.7 leads 57.8 to 21.1.
  • The biggest single-benchmark swing is ProofBench: 34% for Grok 4.7 and 0% for Laguna M.1.
  • Grok 4.7 accepts more context: 500K tokens versus 262K.
  • Laguna M.1 has downloadable open weights; the other is API-only.

Side by side

Grok 4.7 and Laguna M.1 specifications
Grok 4.7Laguna M.1
ProviderxAIPoolside
Noometry Index53.132.5
Released2026-09-212026-04-28
WeightsProprietaryOpen
Context window500K262K
Max output500K33K
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked393

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Category by category

Coding Grok 4.7 leads

Grok 4.7: 58.0 (#18), Laguna M.1: 36.6 (#204)

Coding benchmarks
BenchmarkGrok 4.7Laguna M.1
LMArena WebDev16391349
FrontierCode47.6%—
CursorBench46.3%—
FrontierSWE29.5%—
SciCode57.8%—
LMArena Coding1427—

Agentic & Tool Use Not comparable

Grok 4.7: 36.7 (#37), Laguna M.1: —

Agentic & Tool Use benchmarks
BenchmarkGrok 4.7Laguna M.1
APEX-Agents54.6%—
GDP.pdf22.8%—
Vending-Bench 210,537—

Reasoning Grok 4.7 leads

Grok 4.7: 49.1 (#40), Laguna M.1: 23.1 (#184)

Reasoning benchmarks
BenchmarkGrok 4.7Laguna M.1
NYT Connections (extended)76.8%—
CritPt18%—
Chess Puzzles38%—
LMArena Hard Prompts1413—
Mystery Game Puzzles29%—
DTBench96%—
LMCA49.4%—
Surface Evolver Bench—15.6%
Epoch Capabilities Index153.53—

Math Grok 4.7 leads

Grok 4.7: 57.8 (#39), Laguna M.1: 21.1 (#283)

Math benchmarks
BenchmarkGrok 4.7Laguna M.1
ProofBench34%0%
FrontierMath (Tiers 1-3)53%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202598.1%—
LMArena Math1407—

Knowledge Not comparable

Grok 4.7: 62.8 (#22), Laguna M.1: —

Knowledge benchmarks
BenchmarkGrok 4.7Laguna M.1
GPQA Diamond92.7%—
SimpleQA Verified56%—
LMArena Expert1422—

Multimodal Not comparable

Grok 4.7: 35.5 (#87), Laguna M.1: —

Multimodal benchmarks
BenchmarkGrok 4.7Laguna M.1
LMArena Vision1228—
Blueprint-Bench 232.5%—
Furniture Assembly20.8%—

Multilingual Not comparable

Grok 4.7: 50.8 (#116), Laguna M.1: —

Multilingual benchmarks
BenchmarkGrok 4.7Laguna M.1
LMArena Non-English1389—
LMArena Chinese1455—
LMArena French1455—
LMArena Russian1397—
LMArena Spanish1400—

Instruction Following Not comparable

Grok 4.7: 74.1 (#105), Laguna M.1: —

Instruction Following benchmarks
BenchmarkGrok 4.7Laguna M.1
LMArena Instruction Following1404—

Long Context Not comparable

Grok 4.7: 43.1 (#104), Laguna M.1: —

Long Context benchmarks
BenchmarkGrok 4.7Laguna M.1
LMArena Longer Query1413—

Writing & Preference Not comparable

Grok 4.7: 70.0 (#24), Laguna M.1: —

Writing & Preference benchmarks
BenchmarkGrok 4.7Laguna M.1
LMArena Text1399—
LMArena Creative Writing1391—
EQ-Bench Creative Writing2007—
LMArena Multi-Turn1393—

Frequently asked questions

Is Grok 4.7 better than Laguna M.1?

Grok 4.7 is the stronger model overall, scoring 53.1 to 32.5 on the Noometry Index.

Is Grok 4.7 or Laguna M.1 better for coding?

Grok 4.7 scores higher on coding benchmarks: 58.0 versus 36.6 in the Noometry coding category.

Which has the bigger context window?

Grok 4.7 does, with 500K tokens against 262K.

How many benchmarks do Grok 4.7 and Laguna M.1 share?

2 benchmarks have published results for both models. Grok 4.7 has 39 scored results on Noometry and Laguna M.1 has 3.

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