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Grok 4.20 vs Ministral 3 14B 2512

Grok 4.20 leads Ministral 3 14B 2512 on the Artificial Analysis Intelligence Index, 25.7 to 6.0, and Ministral 3 14B 2512 costs 12.5x less per output token ($0.20 vs $2.50 per million). Updated October 22, 2026; 5 benchmarks have a result for both.

Grok 4.20xAI
Coding
33.3
Overall
41.0
Output $/M
$2.50
5
Ministral 3 14B 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.20
0
vs boards won of 5 shared

Grok 4.20 or Ministral 3 14B 2512: which to pick

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Ministral 3 14B 2512 has none, so the two cannot be ranked on coding.

Pick Ministral 3 14B 2512 for output tokens 12.5x cheaper ($0.20 vs $2.50 per million).

Shared results
5
Grok 4.20 only
50
Ministral 3 14B 2512 only
2
Like-for-like categories
2 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Grok 4.20 33.3 from 2 benchmarks, Ministral 3 14B 2512 not benchmarked.
Widest category
Web design, 20.8 points apart on average over 4 shared benchmarks.
Widest single gap
Design Arena: 3D: Grok 4.20 1193 against Ministral 3 14B 2512 989, 25.5 points apart on a 0 to 100 scale.
Output price
Grok 4.20 $2.50 against Ministral 3 14B 2512 $0.20 per million output tokens, 12.5x apart.
Context window
Grok 4.20 takes 2M tokens, Ministral 3 14B 2512 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGrok 4.20BarsMinistral 3 14B 2512Ties
Intelligence10
Web design40
All shared boards50
CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards, none shared
Coding benchmarks for Grok 4.20 and Ministral 3 14B 2512
BenchmarkGrok 4.20Ministral 3 14B 2512Leader
AA Coding IndexNot measured14.4Only Ministral 3 14B 2512 measured
LiveCodeBench (Vals AI)84.3%Not measuredOnly Grok 4.20 measured
SWE-bench Verified (Vals AI)72.2%Not measuredOnly Grok 4.20 measured
Vibe Code Bench (Vals AI)4.1%Not measuredOnly Grok 4.20 measured
Code migration (Vals AI)0.3%Not measuredOnly Grok 4.20 measured
Terminal-Bench 2.1 (Vals AI)44.2%Not measuredOnly Grok 4.20 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%Not measuredOnly Grok 4.20 measured
Terminal-Bench57.3%Not measuredOnly Grok 4.20 measured
WeirdML52.3%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Grok 4.20 and Ministral 3 14B 2512
BenchmarkGrok 4.20Ministral 3 14B 2512Leader
AA Intelligence Index25.76.0Grok 4.20
Epoch Capabilities Index152.1Not measuredOnly Grok 4.20 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Agentic work benchmarks for Grok 4.20 and Ministral 3 14B 2512
BenchmarkGrok 4.20Ministral 3 14B 2512Leader
AA Agentic IndexNot measured1.1Only Ministral 3 14B 2512 measured
Design Arena: agents building web apps1144Not measuredOnly Grok 4.20 measured
Design Arena: agents building full-stack apps1054Not measuredOnly Grok 4.20 measured
Design Arena: agents building mobile apps1090Not measuredOnly Grok 4.20 measured
Design Arena: agents building Android apps1045Not measuredOnly Grok 4.20 measured
Design Arena: agents building Godot games1089Not measuredOnly Grok 4.20 measured
Design Arena: HTML slides1180Not measuredOnly Grok 4.20 measured
Finance Agent (Vals AI)28.5%Not measuredOnly Grok 4.20 measured
Tax Agent Bench (Vals AI)7.0%Not measuredOnly Grok 4.20 measured
Legal Research Bench (Vals AI)13.9%Not measuredOnly Grok 4.20 measured
Excel Modeling Benchmark (Vals AI)11.7%Not measuredOnly Grok 4.20 measured
τ²-Bench Telecom93.0%Not measuredOnly Grok 4.20 measured
Vending-Bench 2$4,663Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 29 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Reasoning benchmarks for Grok 4.20 and Ministral 3 14B 2512
BenchmarkGrok 4.20Ministral 3 14B 2512Leader
GPQA Diamond88.6%Not measuredOnly Grok 4.20 measured
MMMU Pro (Vals AI)83.5%Not measuredOnly Grok 4.20 measured
GPQA Diamond (Artificial Analysis run)91.1%Not measuredOnly Grok 4.20 measured
Humanity's Last Exam (Artificial Analysis run)34.5%Not measuredOnly Grok 4.20 measured
ARC-AGI89.5%Not measuredOnly Grok 4.20 measured
ARC-AGI-265.1%Not measuredOnly Grok 4.20 measured
Kagi LLM Benchmark75.0%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Math benchmarks for Grok 4.20 and Ministral 3 14B 2512
BenchmarkGrok 4.20Ministral 3 14B 2512Leader
AIME96.5%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for Grok 4.20 and Ministral 3 14B 2512
BenchmarkGrok 4.20Ministral 3 14B 2512Leader
MMLU Pro86.3%Not measuredOnly Grok 4.20 measured
LegalBench (Vals AI)77.7%Not measuredOnly Grok 4.20 measured
CaseLaw (Vals AI)54.4%Not measuredOnly Grok 4.20 measured
CorpFin (Vals AI)63.7%Not measuredOnly Grok 4.20 measured
TaxEval (Vals AI)74.1%Not measuredOnly Grok 4.20 measured
MortgageTax (Vals AI)45.4%Not measuredOnly Grok 4.20 measured
MedQA (Vals AI)94.5%Not measuredOnly Grok 4.20 measured
MedCode (Vals AI)32.2%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index40
Web design benchmarks for Grok 4.20 and Ministral 3 14B 2512
BenchmarkGrok 4.20Ministral 3 14B 2512Leader
Design Arena: websites12291081Grok 4.20
Design Arena: UI components1197Not measuredOnly Grok 4.20 measured
Design Arena: game dev11931037Grok 4.20
Design Arena: data viz1217Not measuredOnly Grok 4.20 measured
Design Arena: 3D1193989Grok 4.20
Design Arena: all code categories12211064Grok 4.20
Design Arena: SVG1165Not measuredOnly Grok 4.20 measured
Design Arena: ASCII art1175Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
General benchmarks for Grok 4.20 and Ministral 3 14B 2512
BenchmarkGrok 4.20Ministral 3 14B 2512Leader
SAGE (Vals AI)38.2%Not measuredOnly Grok 4.20 measured
MedScribe (Vals AI)63.4%Not measuredOnly Grok 4.20 measured
Vals Multimodal Index39.1%Not measuredOnly Grok 4.20 measured
IFBench81.2%Not measuredOnly Grok 4.20 measured
Long context reasoning (AA-LCR)69.0%Not measuredOnly Grok 4.20 measured
DTBench90.1%Not measuredOnly Grok 4.20 measured
LMCA38.7%Not measuredOnly Grok 4.20 measured
CL-bench22.2%Not measuredOnly Grok 4.20 measured
CL-bench Life11.9%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 39 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok 4.20 and Ministral 3 14B 2512
BenchmarkGrok 4.20Ministral 3 14B 2512Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Grok 4.20$0.0025Fits in one request
Ministral 3 14B 2512$0.0003Fits in one request

Ministral 3 14B 2512 costs less

Repository review

50K input + 3K output tokens

Grok 4.20$0.070Fits in one request
Ministral 3 14B 2512$0.011Fits in one request

Ministral 3 14B 2512 costs less

Agent loop

200K input + 10K output tokens

Grok 4.20$0.275Fits in one request
Ministral 3 14B 2512$0.042Fits in one request

Ministral 3 14B 2512 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Grok 4.20 and Ministral 3 14B 2512
SpecificationSpaceXAI Grok 4.20Mistral Ministral 3 14B 2512
MakerxAIMistral AI
WeightsNo public weights listedOpen weights
ReleasedMarch 31, 2026December 2, 2025
Context window2M262K
Input $/Mtok$1.25$0.20
Output $/Mtok$2.50$0.20
Coding index33.3Not benchmarked
Independent measurements behind it20
Cost per solved task$0.72Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.20 better than Ministral 3 14B 2512 for coding?

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Ministral 3 14B 2512 has none, so the two cannot be ranked on coding. Pick Ministral 3 14B 2512 for output tokens 12.5x cheaper ($0.20 vs $2.50 per million).

Which is cheaper, Grok 4.20 or Ministral 3 14B 2512?

Grok 4.20 costs $1.25 per million input tokens and $2.50 per million output tokens; Ministral 3 14B 2512 costs $0.20 and $0.20. Cost per solved task is known for Grok 4.20 only.

Which has the bigger context window, Grok 4.20 or Ministral 3 14B 2512?

Grok 4.20, with 2M tokens against 262K.

How many benchmarks is the Grok 4.20 vs Ministral 3 14B 2512 comparison based on?

5 benchmarks have a result for both models as of October 22, 2026. Grok 4.20's coding index rests on 2 independent benchmarks and Ministral 3 14B 2512's on 0. Where only one model has a result, the page says so instead of naming a winner.

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