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Grok 4.5 vs Mistral Small 3.2 24B

Mistral Small 3.2 24B costs 20.0x less per output token than Grok 4.5 ($0.30 vs $6.00 per million). Updated October 21, 2026; 5 benchmarks have a result for both.

Grok 4.5xAI
Coding
58.6
Overall
62.1
Output $/M
$6.00
5
Mistral Small 3.2 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.30
0
vs boards won of 5 shared

Grok 4.5 or Mistral Small 3.2 24B: which to pick

Only Grok 4.5 has a coding score, 58.6 on the Vibe Coding Index; Mistral Small 3.2 24B has none, so the two cannot be ranked on coding.

Pick Mistral Small 3.2 24B for output tokens 20.0x cheaper ($0.30 vs $6.00 per million).

Shared results
5
Grok 4.5 only
118
Mistral Small 3.2 24B only
0
Like-for-like categories
1 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 4.5 58.6 from 6 benchmarks, Mistral Small 3.2 24B not benchmarked.
Widest category
Web design, 45.9 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: websites: Grok 4.5 1281 against Mistral Small 3.2 24B 896, 48.1 points apart on a 0 to 100 scale.
Output price
Grok 4.5 $6.00 against Mistral Small 3.2 24B $0.30 per million output tokens, 20.0x apart.
Context window
Grok 4.5 takes 500K tokens, Mistral Small 3.2 24B 256K.

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 4.5BarsMistral Small 3.2 24BTies
Web design50
All shared boards50
CodingDirectional onlySix of these boards feed the Vibe Coding Index23 boards, none shared
Coding benchmarks for Grok 4.5 and Mistral Small 3.2 24B
BenchmarkGrok 4.5Mistral Small 3.2 24BLeader
LiveBench coding94.3%Not measuredOnly Grok 4.5 measured
LMArena WebDev1553Not measuredOnly Grok 4.5 measured
AA Coding Index72.4Not measuredOnly Grok 4.5 measured
LiveCodeBench (Vals AI)87.3%Not measuredOnly Grok 4.5 measured
SWE-bench Verified (Vals AI)86.6%Not measuredOnly Grok 4.5 measured
Terminal-Bench 4 (Vals AI)8.6%Not measuredOnly Grok 4.5 measured
Vibe Code Bench (Vals AI)69.0%Not measuredOnly Grok 4.5 measured
Code migration (Vals AI)36.6%Not measuredOnly Grok 4.5 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Grok 4.5 measured
IOI (Vals AI)40.6%Not measuredOnly Grok 4.5 measured
Terminal-Bench 2.1 (Vals AI)67.8%Not measuredOnly Grok 4.5 measured
SkillsBench (Vals AI)66.0%Not measuredOnly Grok 4.5 measured
CyberBench (Vals AI)71.0%Not measuredOnly Grok 4.5 measured
SciCode55.0%Not measuredOnly Grok 4.5 measured
FrontierCode42.4%Not measuredOnly Grok 4.5 measured
WeirdML46.4%Not measuredOnly Grok 4.5 measured
ALE-Bench1309.3Not measuredOnly Grok 4.5 measured
LMArena Text: coding1474Not measuredOnly Grok 4.5 measured
LMArena Text: software and IT1471Not measuredOnly Grok 4.5 measured
LMArena WebDev: React1556Not measuredOnly Grok 4.5 measured
LMArena WebDev: HTML1567Not measuredOnly Grok 4.5 measured
LMArena WebDev: from an image1562Not measuredOnly Grok 4.5 measured
SciCode6.5%Not measuredOnly Grok 4.5 measured
Neither model has a result on the other 16 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Grok 4.5 and Mistral Small 3.2 24B
BenchmarkGrok 4.5Mistral Small 3.2 24BLeader
AA Intelligence Index38.8Not measuredOnly Grok 4.5 measured
Epoch Capabilities Index154.1Not measuredOnly Grok 4.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index22 boards, none shared
Agentic work benchmarks for Grok 4.5 and Mistral Small 3.2 24B
BenchmarkGrok 4.5Mistral Small 3.2 24BLeader
AA Agentic Index41.2Not measuredOnly Grok 4.5 measured
Design Arena: agents building web apps1218Not measuredOnly Grok 4.5 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Grok 4.5 measured
Design Arena: agents building mobile apps1221Not measuredOnly Grok 4.5 measured
Design Arena: agents building Android apps1242Not measuredOnly Grok 4.5 measured
Design Arena: agents building Godot games1229Not measuredOnly Grok 4.5 measured
Design Arena: agents building games1236Not measuredOnly Grok 4.5 measured
Design Arena: HTML slides1204Not measuredOnly Grok 4.5 measured
Design Arena: PowerPoint slides1233Not measuredOnly Grok 4.5 measured
LiveBench research85.9%Not measuredOnly Grok 4.5 measured
LiveBench browser44.0%Not measuredOnly Grok 4.5 measured
LiveBench long agentic27.9%Not measuredOnly Grok 4.5 measured
SREBench (Vals AI)0.8%Not measuredOnly Grok 4.5 measured
Finance Agent (Vals AI)48.4%Not measuredOnly Grok 4.5 measured
Tax Agent Bench (Vals AI)24.9%Not measuredOnly Grok 4.5 measured
Legal Research Bench (Vals AI)38.0%Not measuredOnly Grok 4.5 measured
Excel Modeling Benchmark (Vals AI)52.9%Not measuredOnly Grok 4.5 measured
Time Horizon Index (Vals AI)6.3%Not measuredOnly Grok 4.5 measured
APEX-Agents56.2%Not measuredOnly Grok 4.5 measured
PostTrainBench23.4%Not measuredOnly Grok 4.5 measured
Vending-Bench 2$3,887Not measuredOnly Grok 4.5 measured
LMArena Search1216Not measuredOnly Grok 4.5 measured
Neither model has a result on the other 19 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Reasoning benchmarks for Grok 4.5 and Mistral Small 3.2 24B
BenchmarkGrok 4.5Mistral Small 3.2 24BLeader
GPQA Diamond92.9%Not measuredOnly Grok 4.5 measured
LiveBench reasoning87.2%Not measuredOnly Grok 4.5 measured
MMMU Pro (Vals AI)61.8%Not measuredOnly Grok 4.5 measured
GPQA Diamond (Artificial Analysis run)93.1%Not measuredOnly Grok 4.5 measured
Humanity's Last Exam (Artificial Analysis run)42.7%Not measuredOnly Grok 4.5 measured
GPQA Diamond (Epoch AI run)93.4%Not measuredOnly Grok 4.5 measured
ARC-AGI87.2%Not measuredOnly Grok 4.5 measured
ARC-AGI-252.6%Not measuredOnly Grok 4.5 measured
SimpleBench70.0%Not measuredOnly Grok 4.5 measured
Chess puzzles35.0%Not measuredOnly Grok 4.5 measured
LMArena Text: hard prompts1462Not measuredOnly Grok 4.5 measured
LMArena Text: expert1465Not measuredOnly Grok 4.5 measured
LMArena Text: hard prompts in English1464Not measuredOnly Grok 4.5 measured
LMArena Vision: diagrams1304Not measuredOnly Grok 4.5 measured
LMArena Vision: homework1295Not measuredOnly Grok 4.5 measured
Kagi LLM Benchmark83.5%Not measuredOnly Grok 4.5 measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Grok 4.5 and Mistral Small 3.2 24B
BenchmarkGrok 4.5Mistral Small 3.2 24BLeader
OTIS Mock AIME97.8%Not measuredOnly Grok 4.5 measured
FrontierMath, tiers 1 to 357.2%Not measuredOnly Grok 4.5 measured
FrontierMath, tier 424.4%Not measuredOnly Grok 4.5 measured
ProofBench31.0%Not measuredOnly Grok 4.5 measured
LMArena Text: math1460Not measuredOnly Grok 4.5 measured
LMArena Text: mathematical work1482Not measuredOnly Grok 4.5 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 4.5 and Mistral Small 3.2 24B
BenchmarkGrok 4.5Mistral Small 3.2 24BLeader
MMLU Pro89.2%Not measuredOnly Grok 4.5 measured
LegalBench (Vals AI)86.0%Not measuredOnly Grok 4.5 measured
CorpFin (Vals AI)67.4%Not measuredOnly Grok 4.5 measured
TaxEval (Vals AI)71.7%Not measuredOnly Grok 4.5 measured
MortgageTax (Vals AI)61.8%Not measuredOnly Grok 4.5 measured
MedCode (Vals AI)43.3%Not measuredOnly Grok 4.5 measured
SimpleQA Verified48.3%Not measuredOnly Grok 4.5 measured
LMArena Text: science1464Not measuredOnly Grok 4.5 measured
LMArena Text: medicine and healthcare1440Not measuredOnly Grok 4.5 measured
LMArena Text: legal and government1463Not measuredOnly Grok 4.5 measured
LMArena Text: business and finance1441Not measuredOnly Grok 4.5 measured
FACTS Benchmark Suite50.2%Not measuredOnly Grok 4.5 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Grok 4.5 and Mistral Small 3.2 24B
BenchmarkGrok 4.5Mistral Small 3.2 24BLeader
Design Arena: websites1281896Grok 4.5
Design Arena: UI components1279907Grok 4.5
Design Arena: game dev1263888Grok 4.5
Design Arena: data viz1266929Grok 4.5
Design Arena: 3D1257Not measuredOnly Grok 4.5 measured
Design Arena: all code categories1275907Grok 4.5
Design Arena: SVG1215Not measuredOnly Grok 4.5 measured
Design Arena: ASCII art1257Not measuredOnly Grok 4.5 measured
LiveBench design78.1%Not measuredOnly Grok 4.5 measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index33 boards, none shared
General benchmarks for Grok 4.5 and Mistral Small 3.2 24B
BenchmarkGrok 4.5Mistral Small 3.2 24BLeader
LiveBench data analysis73.0%Not measuredOnly Grok 4.5 measured
SAGE (Vals AI)35.0%Not measuredOnly Grok 4.5 measured
MedScribe (Vals AI)86.9%Not measuredOnly Grok 4.5 measured
Vals Multimodal Index63.4%Not measuredOnly Grok 4.5 measured
Long context reasoning (AA-LCR)79.3%Not measuredOnly Grok 4.5 measured
DTBench96.5%Not measuredOnly Grok 4.5 measured
LMCA45.2%Not measuredOnly Grok 4.5 measured
Surface Evolver Bench74.4%Not measuredOnly Grok 4.5 measured
Furniture assembly22.5%Not measuredOnly Grok 4.5 measured
LMArena Text1448Not measuredOnly Grok 4.5 measured
LMArena Text: instruction following1445Not measuredOnly Grok 4.5 measured
LMArena Text: creative writing1442Not measuredOnly Grok 4.5 measured
LMArena Vision1287Not measuredOnly Grok 4.5 measured
LMArena Text: English1453Not measuredOnly Grok 4.5 measured
LMArena Text: non-English1440Not measuredOnly Grok 4.5 measured
LMArena Text: Chinese1495Not measuredOnly Grok 4.5 measured
LMArena Text: German1448Not measuredOnly Grok 4.5 measured
LMArena Text: Japanese1430Not measuredOnly Grok 4.5 measured
LMArena Text: Korean1406Not measuredOnly Grok 4.5 measured
LMArena Text: French1457Not measuredOnly Grok 4.5 measured
LMArena Text: Spanish1451Not measuredOnly Grok 4.5 measured
LMArena Text: Russian1449Not measuredOnly Grok 4.5 measured
LMArena Text: Polish1432Not measuredOnly Grok 4.5 measured
LMArena Text: multi-turn1456Not measuredOnly Grok 4.5 measured
LMArena Text: longer queries1462Not measuredOnly Grok 4.5 measured
LMArena Text: writing and language1445Not measuredOnly Grok 4.5 measured
LMArena Text: entertainment and media1434Not measuredOnly Grok 4.5 measured
LMArena Vision: English1285Not measuredOnly Grok 4.5 measured
LMArena Vision: Chinese1345Not measuredOnly Grok 4.5 measured
LMArena Vision: reading text1293Not measuredOnly Grok 4.5 measured
LMArena Vision: humor1276Not measuredOnly Grok 4.5 measured
LMArena Vision: creative writing1293Not measuredOnly Grok 4.5 measured
LMArena Document1452Not measuredOnly Grok 4.5 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok 4.5 and Mistral Small 3.2 24B
BenchmarkGrok 4.5Mistral Small 3.2 24BLeader
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 4.5$0.0050Fits in one request
Mistral Small 3.2 24B$0.0003Fits in one request

Mistral Small 3.2 24B costs less

Repository review

50K input + 3K output tokens

Grok 4.5$0.118Fits in one request
Mistral Small 3.2 24B$0.0059Fits in one request

Mistral Small 3.2 24B costs less

Agent loop

200K input + 10K output tokens

Grok 4.5$0.460Fits in one request
Mistral Small 3.2 24B$0.023Fits in one request

Mistral Small 3.2 24B 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 4.5 and Mistral Small 3.2 24B
SpecificationSpaceXAI Grok 4.5Mistral Small 3.2 24B
MakerxAIMistral AI
WeightsNo public weights listedOpen weights
ReleasedJuly 8, 2026June 20, 2025
Context window500K256K
Input $/Mtok$2.00$0.10
Output $/Mtok$6.00$0.30
Coding index58.6Not benchmarked
Independent measurements behind it60
Cost per solved task$0.62Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.5 better than Mistral Small 3.2 24B for coding?

Only Grok 4.5 has a coding score, 58.6 on the Vibe Coding Index; Mistral Small 3.2 24B has none, so the two cannot be ranked on coding. Pick Mistral Small 3.2 24B for output tokens 20.0x cheaper ($0.30 vs $6.00 per million).

Which is cheaper, Grok 4.5 or Mistral Small 3.2 24B?

Grok 4.5 costs $2.00 per million input tokens and $6.00 per million output tokens; Mistral Small 3.2 24B costs $0.10 and $0.30. Cost per solved task is known for Grok 4.5 only.

Which has the bigger context window, Grok 4.5 or Mistral Small 3.2 24B?

Grok 4.5, with 500K tokens against 256K.

How many benchmarks is the Grok 4.5 vs Mistral Small 3.2 24B comparison based on?

5 benchmarks have a result for both models as of October 21, 2026. Grok 4.5's coding index rests on 6 independent benchmarks and Mistral Small 3.2 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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