Model comparison

Grok 4.20 (Non-Reasoning) vs Mistral Medium

Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 36.3 on the Noometry Index.

Last verified . 26 shared benchmarks.

Grok 4.20 (Non-Reasoning) xAI

48.6

Rank #54 Confirmed

Mistral Medium Mistral AI

36.3

Rank #218 Confirmed

Summary

  • They share 26 benchmarks with published results for both. Grok 4.20 (Non-Reasoning) scores higher in 9 categories and Mistral Medium in 1 category; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.3 to 24.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 92.2% for Grok 4.20 (Non-Reasoning) and 32.2% for Mistral Medium.
  • Grok 4.20 (Non-Reasoning) is cheaper at $1.25 / $2.50 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
  • Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 262K.
  • Mistral Medium has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 (Non-Reasoning) and Mistral Medium specifications
Grok 4.20 (Non-Reasoning)Mistral Medium
ProviderxAIMistral AI
Noometry Index48.636.3
Released2026-02-172023-12-11
WeightsProprietaryOpen
Context window1M262K
Max output30K262K
Input $ / M tokens$1.25$1.50
Output $ / M tokens$2.50$7.50
Results tracked4636

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Category by category

Coding Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 42.1 (#112), Mistral Medium: 34.2 (#243)

Coding benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Mistral Medium
WeirdML52.3%43.7%
LMArena Coding14591434
ALE-Bench1,150763.98
FrontierCode—8%
LMArena WebDev1375—
SciCode—40.2%

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

Grok 4.20 (Non-Reasoning): 34.4 (#46), Mistral Medium: 28.3 (#90)

Agentic & Tool Use benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Mistral Medium
Terminal-Bench57.3%—
Berkeley Function Calling Leaderboard—37.7%
τ²-bench Banking18%—
LMArena Search1189—
Vending-Bench 24,663—

Reasoning Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 52.3 (#32), Mistral Medium: 24.0 (#167)

Reasoning benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Mistral Medium
Kagi LLM Benchmark75%50%
LMArena Hard Prompts14511426
DTBench90.1%75.5%
LMCA38.7%26.1%
ARC-AGI-265.1%—
NYT Connections (extended)85.4%—
ARC-AGI-189.5%—
CritPt—0%
Chess Puzzles24%—
Thematic Generalization63.8%—
Surface Evolver Bench—26.9%
Epoch Capabilities Index151.98—
ForecastBench61.4—

Math Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 48.2 (#65), Mistral Medium: 28.1 (#245)

Math benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Mistral Medium
OTIS Mock AIME 2024-202592.2%32.2%
ProofBench14%9%
LMArena Math14551408
FrontierMath (Tiers 1-3)44.9%—
FrontierMath Tier 417.1%—
MATH Level 5—81.6%
FrontierMath (Feb 2025 set)—0.3%

Knowledge Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 52.8 (#60), Mistral Medium: 25.0 (#265)

Knowledge benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Mistral Medium
GPQA Diamond89.3%59.5%
LMArena Expert14391408
Humanity's Last Exam—4.5%
SimpleQA Verified30.2%—
Vectara Hallucination Rate—22.7%

Multimodal Mistral Medium leads

Grok 4.20 (Non-Reasoning): 33.3 (#98), Mistral Medium: 35.3 (#88)

Multimodal benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Mistral Medium
LMArena Vision12631172
Blueprint-Bench 20%—
LMArena Document1416—

Multilingual Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 54.5 (#40), Mistral Medium: 52.1 (#91)

Multilingual benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Mistral Medium
LMArena Non-English14411408
LMArena Chinese14811447
LMArena French14761459
LMArena German14651432
LMArena Japanese14491378
LMArena Korean14171380
LMArena Russian14581411
LMArena Spanish14431433

Instruction Following Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 74.8 (#83), Mistral Medium: 73.7 (#116)

Instruction Following benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Mistral Medium
LMArena Instruction Following14201398

Long Context Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 45.5 (#34), Mistral Medium: 42.9 (#114)

Long Context benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Mistral Medium
LMArena Longer Query14371406
CL-bench22.2%—
CL-bench Life11.9%—

Writing & Preference Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 65.7 (#44), Mistral Medium: 60.0 (#103)

Writing & Preference benchmarks
BenchmarkGrok 4.20 (Non-Reasoning)Mistral Medium
LMArena Text14511424
LMArena Creative Writing14381391
LMArena Multi-Turn14561418
Short-Story Creative Writing—77.3%
EQ-Bench Creative Writing1574—

Frequently asked questions

Is Grok 4.20 (Non-Reasoning) better than Mistral Medium?

Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 36.3 on the Noometry Index.

Which is cheaper, Grok 4.20 (Non-Reasoning) or Mistral Medium?

Grok 4.20 (Non-Reasoning) is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Mistral Medium lists at $1.50 and $7.50.

Is Grok 4.20 (Non-Reasoning) or Mistral Medium better for coding?

Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 42.1 versus 34.2 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 Mistral Medium share?

26 benchmarks have published results for both models. Grok 4.20 (Non-Reasoning) has 46 scored results on Noometry and Mistral Medium has 36.

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