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Grok 4.6 vs Mixtral 8x22B Instruct

Updated October 21, 2026. 5 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Grok 4.6xAI
Coding
65.7
Overall
44.3
Output $/M
$6.00
5
Mixtral 8x22B InstructMistral AI
Coding
No data
Overall
5.7
Output $/M
$6.00
0
vs boards won of 5 shared

Decision reading

Only Grok 4.6 has a coding score, 65.7 on the Vibe Coding Index; Mixtral 8x22B Instruct has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
5
Grok 4.6 only
118
Mixtral 8x22B Instruct only
2
Like-for-like categories
3 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 4.6 65.7 from 6 benchmarks, Mixtral 8x22B Instruct not benchmarked.
Widest category
Reasoning, 50.9 points apart on average over 2 shared benchmarks.
Widest single gap
GPQA Diamond (Artificial Analysis run): Grok 4.6 94.9% against Mixtral 8x22B Instruct 33.2%, 61.7 points apart on a 0 to 100 scale.
Output price
Both cost $6.00 per million output tokens.
Context window
Grok 4.6 takes 500K tokens, Mixtral 8x22B Instruct 66K.

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 4.6BarsMixtral 8x22B InstructTies
Intelligence20
Reasoning20
General10
All shared boards50
CodingDirectional onlySix of these boards feed the Vibe Coding Index25 boards, none shared
Coding benchmarks for Grok 4.6 and Mixtral 8x22B Instruct
BenchmarkGrok 4.6Mixtral 8x22B InstructLeader
LiveBench coding89.1%Not measuredOnly Grok 4.6 measured
LMArena WebDev1617Not measuredOnly Grok 4.6 measured
AA Coding Index76.8Not measuredOnly Grok 4.6 measured
LiveCodeBench (Vals AI)88.2%Not measuredOnly Grok 4.6 measured
SWE-bench Verified (Vals AI)95.6%Not measuredOnly Grok 4.6 measured
Terminal-Bench 4 (Vals AI)17.2%Not measuredOnly Grok 4.6 measured
Vibe Code Bench (Vals AI)76.2%Not measuredOnly Grok 4.6 measured
Code migration (Vals AI)44.6%Not measuredOnly Grok 4.6 measured
ProgramBench (Vals AI)1.0%Not measuredOnly Grok 4.6 measured
IOI (Vals AI)47.6%Not measuredOnly Grok 4.6 measured
Terminal-Bench 2.1 (Vals AI)78.3%Not measuredOnly Grok 4.6 measured
Vibe Code Bench 1-100 (Vals AI)14.8%Not measuredOnly Grok 4.6 measured
SkillsBench (Vals AI)55.8%Not measuredOnly Grok 4.6 measured
CyberBench (Vals AI)67.7%Not measuredOnly Grok 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured14.8%Only Mixtral 8x22B Instruct measured
SciCode56.5%Not measuredOnly Grok 4.6 measured
FrontierCode48.0%Not measuredOnly Grok 4.6 measured
FrontierSWE25.3%Not measuredOnly Grok 4.6 measured
WeirdML67.3%Not measuredOnly Grok 4.6 measured
ALE-Bench1508.1Not measuredOnly Grok 4.6 measured
LMArena Text: coding1466Not measuredOnly Grok 4.6 measured
LMArena Text: software and IT1457Not measuredOnly Grok 4.6 measured
LMArena WebDev: React1631Not measuredOnly Grok 4.6 measured
LMArena WebDev: HTML1597Not measuredOnly Grok 4.6 measured
LMArena WebDev: from an image1603Not measuredOnly Grok 4.6 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Grok 4.6 and Mixtral 8x22B Instruct
BenchmarkGrok 4.6Mixtral 8x22B InstructLeader
AA Intelligence Index44.35.7Grok 4.6
Epoch Capabilities Index156.6122.0Grok 4.6
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index22 boards, none shared
Agentic work benchmarks for Grok 4.6 and Mixtral 8x22B Instruct
BenchmarkGrok 4.6Mixtral 8x22B InstructLeader
AA Agentic Index53.0Not measuredOnly Grok 4.6 measured
Design Arena: agents building web apps1248Not measuredOnly Grok 4.6 measured
Design Arena: agents building full-stack apps1264Not measuredOnly Grok 4.6 measured
Design Arena: agents building mobile apps1236Not measuredOnly Grok 4.6 measured
Design Arena: agents building Android apps1297Not measuredOnly Grok 4.6 measured
Design Arena: agents building Godot games1276Not measuredOnly Grok 4.6 measured
Design Arena: agents building games1208Not measuredOnly Grok 4.6 measured
Design Arena: HTML slides1249Not measuredOnly Grok 4.6 measured
Design Arena: PowerPoint slides1241Not measuredOnly Grok 4.6 measured
LiveBench research84.5%Not measuredOnly Grok 4.6 measured
LiveBench browser64.0%Not measuredOnly Grok 4.6 measured
LiveBench long agentic40.7%Not measuredOnly Grok 4.6 measured
Finance Agent (Vals AI)53.7%Not measuredOnly Grok 4.6 measured
Tax Agent Bench (Vals AI)33.1%Not measuredOnly Grok 4.6 measured
Legal Research Bench (Vals AI)48.1%Not measuredOnly Grok 4.6 measured
Excel Modeling Benchmark (Vals AI)62.7%Not measuredOnly Grok 4.6 measured
BioMysteryBench (Vals AI)72.2%Not measuredOnly Grok 4.6 measured
Terminal-Bench-Science (Vals AI)11.4%Not measuredOnly Grok 4.6 measured
Vals Science Index38.1%Not measuredOnly Grok 4.6 measured
Time Horizon Index (Vals AI)5.8%Not measuredOnly Grok 4.6 measured
APEX-Agents65.3%Not measuredOnly Grok 4.6 measured
Vending-Bench 2$9,047Not measuredOnly Grok 4.6 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Grok 4.6 and Mixtral 8x22B Instruct
BenchmarkGrok 4.6Mixtral 8x22B InstructLeader
GPQA Diamond94.7%Not measuredOnly Grok 4.6 measured
LiveBench reasoning91.2%Not measuredOnly Grok 4.6 measured
MysteryMechanism (Vals AI)30.6%Not measuredOnly Grok 4.6 measured
GPQA Diamond (Artificial Analysis run)94.9%33.2%Grok 4.6
Humanity's Last Exam (Artificial Analysis run)44.1%4.0%Grok 4.6
GPQA Diamond (Epoch AI run)94.0%Not measuredOnly Grok 4.6 measured
ARC-AGI87.5%Not measuredOnly Grok 4.6 measured
ARC-AGI-267.1%Not measuredOnly Grok 4.6 measured
SimpleBench75.9%Not measuredOnly Grok 4.6 measured
Chess puzzles33.0%Not measuredOnly Grok 4.6 measured
Mystery game puzzles34.0%Not measuredOnly Grok 4.6 measured
EBR-bench30.5%Not measuredOnly Grok 4.6 measured
LMArena Text: hard prompts1448Not measuredOnly Grok 4.6 measured
LMArena Text: expert1469Not measuredOnly Grok 4.6 measured
LMArena Text: hard prompts in English1445Not measuredOnly Grok 4.6 measured
LMArena Vision: diagrams1285Not measuredOnly Grok 4.6 measured
LMArena Vision: homework1283Not measuredOnly Grok 4.6 measured
Neither model has a result on the other 4 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Grok 4.6 and Mixtral 8x22B Instruct
BenchmarkGrok 4.6Mixtral 8x22B InstructLeader
OTIS Mock AIME99.2%Not measuredOnly Grok 4.6 measured
FrontierMath, tiers 1 to 366.0%Not measuredOnly Grok 4.6 measured
FrontierMath, tier 431.7%Not measuredOnly Grok 4.6 measured
ProofBench51.0%Not measuredOnly Grok 4.6 measured
LMArena Text: math1417Not measuredOnly Grok 4.6 measured
LMArena Text: mathematical work1464Not measuredOnly Grok 4.6 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Grok 4.6 and Mixtral 8x22B Instruct
BenchmarkGrok 4.6Mixtral 8x22B InstructLeader
MMLU Pro89.4%Not measuredOnly Grok 4.6 measured
LegalBench (Vals AI)86.3%Not measuredOnly Grok 4.6 measured
CorpFin (Vals AI)66.2%Not measuredOnly Grok 4.6 measured
TaxEval (Vals AI)71.1%Not measuredOnly Grok 4.6 measured
MortgageTax (Vals AI)64.2%Not measuredOnly Grok 4.6 measured
MedCode (Vals AI)44.7%Not measuredOnly Grok 4.6 measured
MMLU Pro (Artificial Analysis run)Not measured53.7%Only Mixtral 8x22B Instruct measured
SimpleQA Verified49.3%Not measuredOnly Grok 4.6 measured
LMArena Text: science1437Not measuredOnly Grok 4.6 measured
LMArena Text: medicine and healthcare1420Not measuredOnly Grok 4.6 measured
LMArena Text: legal and government1429Not measuredOnly Grok 4.6 measured
LMArena Text: business and finance1416Not measuredOnly Grok 4.6 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Grok 4.6 and Mixtral 8x22B Instruct
BenchmarkGrok 4.6Mixtral 8x22B InstructLeader
Design Arena: websites1289Not measuredOnly Grok 4.6 measured
Design Arena: UI components1295Not measuredOnly Grok 4.6 measured
Design Arena: game dev1296Not measuredOnly Grok 4.6 measured
Design Arena: data viz1282Not measuredOnly Grok 4.6 measured
Design Arena: 3D1277Not measuredOnly Grok 4.6 measured
Design Arena: all code categories1292Not measuredOnly Grok 4.6 measured
Design Arena: SVG1239Not measuredOnly Grok 4.6 measured
Design Arena: ASCII art1278Not measuredOnly Grok 4.6 measured
LiveBench design79.8%Not measuredOnly Grok 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Grok 4.6 and Mixtral 8x22B Instruct
BenchmarkGrok 4.6Mixtral 8x22B InstructLeader
LiveBench data analysis75.3%Not measuredOnly Grok 4.6 measured
Public Benefits Bench (Vals AI)66.8%Not measuredOnly Grok 4.6 measured
SAGE (Vals AI)28.9%Not measuredOnly Grok 4.6 measured
MedScribe (Vals AI)86.5%Not measuredOnly Grok 4.6 measured
Long context reasoning (AA-LCR)81.0%Not measuredOnly Grok 4.6 measured
DTBench97.3%55.1%Grok 4.6
LMCA48.5%Not measuredOnly Grok 4.6 measured
Furniture assembly40.0%Not measuredOnly Grok 4.6 measured
LMArena Text1429Not measuredOnly Grok 4.6 measured
LMArena Text: instruction following1431Not measuredOnly Grok 4.6 measured
LMArena Text: creative writing1426Not measuredOnly Grok 4.6 measured
LMArena Vision1263Not measuredOnly Grok 4.6 measured
LMArena Text: English1433Not measuredOnly Grok 4.6 measured
LMArena Text: non-English1420Not measuredOnly Grok 4.6 measured
LMArena Text: Chinese1476Not measuredOnly Grok 4.6 measured
LMArena Text: German1426Not measuredOnly Grok 4.6 measured
LMArena Text: Japanese1378Not measuredOnly Grok 4.6 measured
LMArena Text: Korean1391Not measuredOnly Grok 4.6 measured
LMArena Text: French1455Not measuredOnly Grok 4.6 measured
LMArena Text: Spanish1414Not measuredOnly Grok 4.6 measured
LMArena Text: Russian1421Not measuredOnly Grok 4.6 measured
LMArena Text: Polish1430Not measuredOnly Grok 4.6 measured
LMArena Text: multi-turn1425Not measuredOnly Grok 4.6 measured
LMArena Text: longer queries1456Not measuredOnly Grok 4.6 measured
LMArena Text: writing and language1429Not measuredOnly Grok 4.6 measured
LMArena Text: entertainment and media1421Not measuredOnly Grok 4.6 measured
LMArena Vision: English1270Not measuredOnly Grok 4.6 measured
LMArena Vision: Chinese1289Not measuredOnly Grok 4.6 measured
LMArena Vision: reading text1272Not measuredOnly Grok 4.6 measured
LMArena Vision: humor1270Not measuredOnly Grok 4.6 measured
LMArena Vision: creative writing1262Not measuredOnly Grok 4.6 measured
LMArena Document1452Not measuredOnly Grok 4.6 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 4.6 and Mixtral 8x22B Instruct
BenchmarkGrok 4.6Mixtral 8x22B InstructLeader
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 4.6$0.0050Fits in one request
Mixtral 8x22B Instruct$0.0050Fits in one request

Same cost

Repository review

50K input + 3K output tokens

Grok 4.6$0.118Fits in one request
Mixtral 8x22B Instruct$0.118Fits in one request

Same cost

Agent loop

200K input + 10K output tokens

Grok 4.6$0.460Fits in one request
Mixtral 8x22B Instruct$0.460Exceeds the context window

Same cost

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 4.6 and Mixtral 8x22B Instruct
SpecificationSpaceXAI Grok 4.6Mistral Mixtral 8x22B Instruct
MakerxAIMistral AI
WeightsNo public weights listedOpen weights
ReleasedAugust 12, 2026April 17, 2024
Context window500K66K
Input $/Mtok$2.00$2.00
Output $/Mtok$6.00$6.00
Coding index65.7Not benchmarked
Independent measurements behind it60
Cost per solved task$0.82Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.6 better than Mixtral 8x22B Instruct for coding?

Only Grok 4.6 has a coding score, 65.7 on the Vibe Coding Index; Mixtral 8x22B Instruct has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Grok 4.6 or Mixtral 8x22B Instruct?

Grok 4.6 costs $2.00 per million input tokens and $6.00 per million output tokens; Mixtral 8x22B Instruct costs $2.00 and $6.00. Cost per solved task is known for Grok 4.6 only.

Which has the bigger context window, Grok 4.6 or Mixtral 8x22B Instruct?

Grok 4.6, with 500K tokens against 66K.

How many benchmarks is the Grok 4.6 vs Mixtral 8x22B Instruct comparison based on?

5 benchmarks have a result for both models as of October 21, 2026. Grok 4.6's coding index rests on 6 independent benchmarks and Mixtral 8x22B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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