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Grok 4.7 vs Mistral Large 4

Grok 4.7 leads Mistral Large 4 on coding, 66.7 to 56.4 on the Vibe Coding Index, and Mistral Large 4 costs 1.4x less per output token ($4.18 vs $6.00 per million). Updated October 22, 2026; 76 benchmarks have a result for both.

Replace Grok 4.7 Replace Mistral Large 4
Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
40
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
35
vs boards won of 76 shared, 1 tied

Grok 4.7 or Mistral Large 4: which to pick

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 56.4 for Mistral Large 4.

Pick Mistral Large 4 for output tokens 1.4x cheaper ($4.18 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).

Model AGrok 4.7xAI66.7/1005 independent benchmarksNo cost per solved taskModel BMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved task
Shared results
76
Grok 4.7 only
23
Mistral Large 4 only
5
Like-for-like categories
8 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 4.7 66.7 from 5 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Agentic work, 20.5 points apart on average over 9 shared benchmarks.
Widest single gap
LiveBench research: Grok 4.7 86.4% against Mistral Large 4 28.1%, 58.3 points apart on a 0 to 100 scale.
Output price
Grok 4.7 $6.00 against Mistral Large 4 $4.18 per million output tokens, 1.4x apart.
Context window
Grok 4.7 takes 500K tokens, Mistral Large 4 1.05M.

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 4.7BarsMistral Large 4Ties
Coding112
Intelligence20
Agentic work81
Reasoning55
Math15
Knowledge24
Web design52
General6161 tie
All shared boards40351 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index112
Coding benchmarks for Grok 4.7 and Mistral Large 4
BenchmarkGrok 4.7Mistral Large 4Leader
LiveBench coding84.5%60.0%Grok 4.7
LMArena WebDev16371543Grok 4.7
Terminal-Bench 4 (Vals AI)28.8%27.8%Grok 4.7
Vibe Code Bench (Vals AI)86.2%78.4%Grok 4.7
Code migration (Vals AI)44.8%30.6%Grok 4.7
ProgramBench (Vals AI)0.5%Not measuredOnly Grok 4.7 measured
IOI (Vals AI)57.7%45.3%Grok 4.7
Terminal-Bench 2.1 (Vals AI)73.4%Not measuredOnly Grok 4.7 measured
SWE-bench Multimodal (Vals AI)42.9%33.1%Grok 4.7
Vibe Code Bench 1-100 (Vals AI)Not measured14.3%Only Mistral Large 4 measured
CyberBench (Vals AI)69.5%Not measuredOnly Grok 4.7 measured
SciCode57.8%54.2%Grok 4.7
FrontierCode47.6%39.4%Grok 4.7
FrontierSWE29.5%Not measuredOnly Grok 4.7 measured
ALE-BenchNot measured1213.2Only Mistral Large 4 measured
LMArena Text: coding14321478Mistral Large 4
LMArena Text: software and IT14211467Mistral Large 4
LMArena WebDev: React16631559Grok 4.7
LMArena WebDev: HTML16271487Grok 4.7
LMArena WebDev: from an image1586Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Grok 4.7 and Mistral Large 4
BenchmarkGrok 4.7Mistral Large 4Leader
AA Intelligence Index46.438.4Grok 4.7
Epoch Capabilities Index154.4150.0Grok 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index81
Agentic work benchmarks for Grok 4.7 and Mistral Large 4
BenchmarkGrok 4.7Mistral Large 4Leader
LiveBench research86.4%28.1%Grok 4.7
LiveBench browser60.0%8.0%Grok 4.7
LiveBench long agentic50.1%11.8%Grok 4.7
SREBench (Vals AI)3.8%Not measuredOnly Grok 4.7 measured
Finance Agent (Vals AI)52.3%54.7%Mistral Large 4
Tax Agent Bench (Vals AI)34.2%30.4%Grok 4.7
Legal Research Bench (Vals AI)47.1%31.7%Grok 4.7
Harvey's Legal Agent Benchmark (Vals AI)18.3%17.5%Grok 4.7
Excel Modeling Benchmark (Vals AI)67.0%56.2%Grok 4.7
BioMysteryBench (Vals AI)69.3%67.0%Grok 4.7
Terminal-Bench-Science (Vals AI)10.0%Not measuredOnly Grok 4.7 measured
Vals Science Index34.8%Not measuredOnly Grok 4.7 measured
Robo-bench (Vals AI)0.2%Not measuredOnly Grok 4.7 measured
APEX-Agents54.6%Not measuredOnly Grok 4.7 measured
Vending-Bench 2$10,537Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index55
Reasoning benchmarks for Grok 4.7 and Mistral Large 4
BenchmarkGrok 4.7Mistral Large 4Leader
LiveBench reasoning82.7%83.9%Mistral Large 4
MysteryMechanism (Vals AI)25.2%12.2%Grok 4.7
Humanity's Last Exam (Artificial Analysis run)43.1%35.0%Grok 4.7
GPQA Diamond (Epoch AI run)92.7%88.1%Grok 4.7
ARC-AGI90.2%Not measuredOnly Grok 4.7 measured
ARC-AGI-261.4%Not measuredOnly Grok 4.7 measured
Chess puzzles41.0%33.0%Grok 4.7
Mystery game puzzles29.0%17.0%Grok 4.7
LMArena Text: hard prompts14151444Mistral Large 4
LMArena Text: expert14391444Mistral Large 4
LMArena Text: hard prompts in English14271442Mistral Large 4
LMArena Vision: diagrams12541288Mistral Large 4
LMArena Vision: homework1309Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index15
Math benchmarks for Grok 4.7 and Mistral Large 4
BenchmarkGrok 4.7Mistral Large 4Leader
OTIS Mock AIME98.1%98.3%Mistral Large 4
FrontierMath, tiers 1 to 353.0%58.6%Mistral Large 4
FrontierMath, tier 417.1%26.8%Mistral Large 4
ProofBench26.0%10.0%Grok 4.7
LMArena Text: math14141469Mistral Large 4
LMArena Text: mathematical work14351462Mistral Large 4
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
Knowledge benchmarks for Grok 4.7 and Mistral Large 4
BenchmarkGrok 4.7Mistral Large 4Leader
LegalBench (Vals AI)84.4%Not measuredOnly Grok 4.7 measured
MedCode (Vals AI)49.5%40.7%Grok 4.7
SimpleQA Verified56.0%20.0%Grok 4.7
LMArena Text: science14191448Mistral Large 4
LMArena Text: medicine and healthcare13951433Mistral Large 4
LMArena Text: legal and government14231425Mistral Large 4
LMArena Text: business and finance13891439Mistral Large 4
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index52
Web design benchmarks for Grok 4.7 and Mistral Large 4
BenchmarkGrok 4.7Mistral Large 4Leader
Design Arena: websites12551257Mistral Large 4
Design Arena: UI components12751272Grok 4.7
Design Arena: game dev13141225Grok 4.7
Design Arena: data viz12381275Mistral Large 4
Design Arena: 3D12741252Grok 4.7
Design Arena: all code categories12731259Grok 4.7
Design Arena: SVGNot measured1232Only Mistral Large 4 measured
Design Arena: ASCII artNot measured1202Only Mistral Large 4 measured
LiveBench design78.0%65.6%Grok 4.7
GeneralLike-for-likePublic boards, shown as published, kept out of the index616
General benchmarks for Grok 4.7 and Mistral Large 4
BenchmarkGrok 4.7Mistral Large 4Leader
Vals Index58.6%Not measuredOnly Grok 4.7 measured
LiveBench data analysis76.9%76.5%Grok 4.7
Public Benefits Bench (Vals AI)65.6%Not measuredOnly Grok 4.7 measured
SAGE (Vals AI)40.8%Not measuredOnly Grok 4.7 measured
MedScribe (Vals AI)89.4%80.4%Grok 4.7
Long context reasoning (AA-LCR)80.0%81.3%Mistral Large 4
DTBench96.0%88.2%Grok 4.7
LMCA49.4%35.8%Grok 4.7
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assembly20.8%20.8%Tie
LMArena Text13991431Mistral Large 4
LMArena Text: instruction following14061422Mistral Large 4
LMArena Text: creative writing13811363Grok 4.7
LMArena Vision12311272Mistral Large 4
LMArena Text: English14111433Mistral Large 4
LMArena Text: non-English13861422Mistral Large 4
LMArena Text: Chinese14491492Mistral Large 4
LMArena Text: German1366Not measuredOnly Grok 4.7 measured
LMArena Text: Japanese13591415Mistral Large 4
LMArena Text: Korean1383Not measuredOnly Grok 4.7 measured
LMArena Text: French14311492Mistral Large 4
LMArena Text: Spanish14061455Mistral Large 4
LMArena Text: Russian13991417Mistral Large 4
LMArena Text: Polish1420Not measuredOnly Grok 4.7 measured
LMArena Text: multi-turn13941435Mistral Large 4
LMArena Text: longer queries14161428Mistral Large 4
LMArena Text: writing and language13941386Grok 4.7
LMArena Text: entertainment and media13761378Mistral Large 4
LMArena Vision: English12291283Mistral Large 4
LMArena Vision: Chinese1250Not measuredOnly Grok 4.7 measured
LMArena Vision: reading text12411284Mistral Large 4
LMArena Vision: creative writing1217Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok 4.7 and Mistral Large 4
BenchmarkGrok 4.7Mistral Large 4Leader
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 4.7$0.0050Fits in one request
Mistral Large 4$0.0034Fits in one request

Mistral Large 4 costs less

Repository review

50K input + 3K output tokens

Grok 4.7$0.118Fits in one request
Mistral Large 4$0.081Fits in one request

Mistral Large 4 costs less

Agent loop

200K input + 10K output tokens

Grok 4.7$0.460Fits in one request
Mistral Large 4$0.314Fits in one request

Mistral Large 4 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 4.7 and Mistral Large 4
SpecificationSpaceXAI Grok 4.7Mistral Large 4
MakerxAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 21, 2026October 6, 2026
Context window500K1.05M
Input $/Mtok$2.00$1.36
Output $/Mtok$6.00$4.18
Coding index66.756.4
Independent measurements behind it55
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.7 better than Mistral Large 4 for coding?

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 56.4 for Mistral Large 4. Pick Mistral Large 4 for output tokens 1.4x cheaper ($4.18 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).

Which is cheaper, Grok 4.7 or Mistral Large 4?

Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for neither of them.

Which has the bigger context window, Grok 4.7 or Mistral Large 4?

Mistral Large 4, with 1.05M tokens against 500K.

How many benchmarks is the Grok 4.7 vs Mistral Large 4 comparison based on?

76 benchmarks have a result for both models as of October 22, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/grok-4-7-vs-mistral-large-4-0">LLMBenchmark.ai, Grok 4.7 vs Mistral Large 4</a></p>