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Grok 4.3 vs Step 3.7 Flash

Updated October 21, 2026. 18 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Grok 4.3xAI
Coding
37.4
Overall
24.9
Output $/M
$2.50
13
Step 3.7 FlashStepFun
Coding
No data
Overall
19.5
Output $/M
$1.15
4
vs boards won of 18 shared, 1 tied

Decision reading

Only Grok 4.3 has a coding score, 37.4 on the Vibe Coding Index; Step 3.7 Flash has none, so the two cannot be ranked on coding.

Step 3.7 Flash has the edge where output tokens cost 2.2x less, and where what matters is τ²-Bench Telecom or Design Arena: 3D, where it leads.

Shared results
18
Grok 4.3 only
86
Step 3.7 Flash only
0
Like-for-like categories
6 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 4.3 37.4 from 3 benchmarks, Step 3.7 Flash not benchmarked.
Widest category
Reasoning, 12.5 points apart on average over 2 shared benchmarks.
Widest single gap
IFBench: Grok 4.3 83.3% against Step 3.7 Flash 67.3%, 16.1 points apart on a 0 to 100 scale.
Output price
Grok 4.3 $2.50 against Step 3.7 Flash $1.15 per million output tokens, 2.2x apart.
Context window
Grok 4.3 takes 1M tokens, Step 3.7 Flash 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 4.3BarsStep 3.7 FlashTies
Coding40
Intelligence10
Agentic work01
Reasoning20
Web design431 tie
General20
All shared boards1341 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for Grok 4.3 and Step 3.7 Flash
BenchmarkGrok 4.3Step 3.7 FlashLeader
LMArena WebDev1358Not measuredOnly Grok 4.3 measured
AA Coding Index42.239.6Grok 4.3
LiveCodeBench (Vals AI)84.5%Not measuredOnly Grok 4.3 measured
SWE-bench Verified (Vals AI)71.4%Not measuredOnly Grok 4.3 measured
Vibe Code Bench (Vals AI)19.4%Not measuredOnly Grok 4.3 measured
Code migration (Vals AI)6.8%Not measuredOnly Grok 4.3 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Grok 4.3 measured
Terminal-Bench 2.1 (Vals AI)42.0%Not measuredOnly Grok 4.3 measured
SkillsBench (Vals AI)40.6%Not measuredOnly Grok 4.3 measured
SciCode48.3%43.9%Grok 4.3
Terminal-Bench Hard (Artificial Analysis run)37.9%35.6%Grok 4.3
WeirdML49.9%Not measuredOnly Grok 4.3 measured
ALE-Bench944.2694.1Grok 4.3
LMArena Text: coding1415Not measuredOnly Grok 4.3 measured
LMArena Text: software and IT1416Not measuredOnly Grok 4.3 measured
LMArena WebDev: React1353Not measuredOnly Grok 4.3 measured
LMArena WebDev: HTML1367Not measuredOnly Grok 4.3 measured
LMArena WebDev: from an image1375Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Grok 4.3 and Step 3.7 Flash
BenchmarkGrok 4.3Step 3.7 FlashLeader
AA Intelligence Index24.919.5Grok 4.3
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Grok 4.3 and Step 3.7 Flash
BenchmarkGrok 4.3Step 3.7 FlashLeader
AA Agentic Index15.5Not measuredOnly Grok 4.3 measured
Design Arena: agents building web apps1126Not measuredOnly Grok 4.3 measured
Design Arena: agents building full-stack apps1006Not measuredOnly Grok 4.3 measured
Design Arena: agents building mobile apps1059Not measuredOnly Grok 4.3 measured
Design Arena: agents building Android apps968Not measuredOnly Grok 4.3 measured
Design Arena: agents building Godot games914Not measuredOnly Grok 4.3 measured
Design Arena: agents building games1007Not measuredOnly Grok 4.3 measured
Design Arena: HTML slides1008Not measuredOnly Grok 4.3 measured
Design Arena: PowerPoint slides1013Not measuredOnly Grok 4.3 measured
Finance Agent (Vals AI)37.7%Not measuredOnly Grok 4.3 measured
Tax Agent Bench (Vals AI)6.2%Not measuredOnly Grok 4.3 measured
Legal Research Bench (Vals AI)15.4%Not measuredOnly Grok 4.3 measured
Excel Modeling Benchmark (Vals AI)18.4%Not measuredOnly Grok 4.3 measured
τ²-Bench Telecom97.7%98.5%Step 3.7 Flash
Vending-Bench 2$35Not measuredOnly Grok 4.3 measured
LMArena Search1166Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Grok 4.3 and Step 3.7 Flash
BenchmarkGrok 4.3Step 3.7 FlashLeader
GPQA Diamond91.4%Not measuredOnly Grok 4.3 measured
MMMU Pro (Vals AI)83.1%Not measuredOnly Grok 4.3 measured
GPQA Diamond (Artificial Analysis run)90.1%80.9%Grok 4.3
Humanity's Last Exam (Artificial Analysis run)37.2%21.4%Grok 4.3
GPQA Diamond (Epoch AI run)88.8%Not measuredOnly Grok 4.3 measured
Chess puzzles18.0%Not measuredOnly Grok 4.3 measured
LMArena Text: hard prompts1396Not measuredOnly Grok 4.3 measured
LMArena Text: expert1384Not measuredOnly Grok 4.3 measured
LMArena Text: hard prompts in English1402Not measuredOnly Grok 4.3 measured
LMArena Vision: diagrams1241Not measuredOnly Grok 4.3 measured
LMArena Vision: homework1241Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 10 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Grok 4.3 and Step 3.7 Flash
BenchmarkGrok 4.3Step 3.7 FlashLeader
OTIS Mock AIME93.3%Not measuredOnly Grok 4.3 measured
FrontierMath, tiers 1 to 342.8%Not measuredOnly Grok 4.3 measured
FrontierMath, tier 414.6%Not measuredOnly Grok 4.3 measured
ProofBench11.0%Not measuredOnly Grok 4.3 measured
LMArena Text: math1387Not measuredOnly Grok 4.3 measured
LMArena Text: mathematical work1396Not measuredOnly Grok 4.3 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 4.3 and Step 3.7 Flash
BenchmarkGrok 4.3Step 3.7 FlashLeader
MMLU Pro85.8%Not measuredOnly Grok 4.3 measured
LegalBench (Vals AI)84.5%Not measuredOnly Grok 4.3 measured
CaseLaw (Vals AI)79.3%Not measuredOnly Grok 4.3 measured
CorpFin (Vals AI)68.5%Not measuredOnly Grok 4.3 measured
TaxEval (Vals AI)70.8%Not measuredOnly Grok 4.3 measured
MortgageTax (Vals AI)48.3%Not measuredOnly Grok 4.3 measured
MedCode (Vals AI)38.1%Not measuredOnly Grok 4.3 measured
SimpleQA Verified33.2%Not measuredOnly Grok 4.3 measured
LMArena Text: science1399Not measuredOnly Grok 4.3 measured
LMArena Text: medicine and healthcare1384Not measuredOnly Grok 4.3 measured
LMArena Text: legal and government1386Not measuredOnly Grok 4.3 measured
LMArena Text: business and finance1381Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index43
Web design benchmarks for Grok 4.3 and Step 3.7 Flash
BenchmarkGrok 4.3Step 3.7 FlashLeader
Design Arena: websites11961196Tie
Design Arena: UI components11921179Grok 4.3
Design Arena: game dev11741158Grok 4.3
Design Arena: data viz11801172Grok 4.3
Design Arena: 3D11251129Step 3.7 Flash
Design Arena: all code categories11871182Grok 4.3
Design Arena: SVG10821085Step 3.7 Flash
Design Arena: ASCII art11251152Step 3.7 Flash
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Grok 4.3 and Step 3.7 Flash
BenchmarkGrok 4.3Step 3.7 FlashLeader
Public Benefits Bench (Vals AI)51.7%Not measuredOnly Grok 4.3 measured
SAGE (Vals AI)19.7%Not measuredOnly Grok 4.3 measured
MedScribe (Vals AI)74.4%Not measuredOnly Grok 4.3 measured
Vals Multimodal Index43.3%Not measuredOnly Grok 4.3 measured
IFBench83.3%67.3%Grok 4.3
Long context reasoning (AA-LCR)75.0%73.7%Grok 4.3
DTBench90.7%Not measuredOnly Grok 4.3 measured
LMCA38.3%Not measuredOnly Grok 4.3 measured
LMArena Text1397Not measuredOnly Grok 4.3 measured
LMArena Text: instruction following1366Not measuredOnly Grok 4.3 measured
LMArena Text: creative writing1380Not measuredOnly Grok 4.3 measured
LMArena Vision1229Not measuredOnly Grok 4.3 measured
LMArena Text: English1404Not measuredOnly Grok 4.3 measured
LMArena Text: non-English1385Not measuredOnly Grok 4.3 measured
LMArena Text: Chinese1422Not measuredOnly Grok 4.3 measured
LMArena Text: German1395Not measuredOnly Grok 4.3 measured
LMArena Text: Japanese1379Not measuredOnly Grok 4.3 measured
LMArena Text: Korean1354Not measuredOnly Grok 4.3 measured
LMArena Text: French1411Not measuredOnly Grok 4.3 measured
LMArena Text: Spanish1399Not measuredOnly Grok 4.3 measured
LMArena Text: Russian1399Not measuredOnly Grok 4.3 measured
LMArena Text: Polish1398Not measuredOnly Grok 4.3 measured
LMArena Text: multi-turn1406Not measuredOnly Grok 4.3 measured
LMArena Text: longer queries1393Not measuredOnly Grok 4.3 measured
LMArena Text: writing and language1385Not measuredOnly Grok 4.3 measured
LMArena Text: entertainment and media1370Not measuredOnly Grok 4.3 measured
LMArena Vision: English1235Not measuredOnly Grok 4.3 measured
LMArena Vision: Chinese1257Not measuredOnly Grok 4.3 measured
LMArena Vision: reading text1235Not measuredOnly Grok 4.3 measured
LMArena Vision: humor1222Not measuredOnly Grok 4.3 measured
LMArena Vision: recognizing things1217Not measuredOnly Grok 4.3 measured
LMArena Vision: creative writing1237Not measuredOnly Grok 4.3 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 4.3 and Step 3.7 Flash
BenchmarkGrok 4.3Step 3.7 FlashLeader
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 4.3$0.0025Fits in one request
Step 3.7 Flash$0.0008Fits in one request

Step 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Grok 4.3$0.070Fits in one request
Step 3.7 Flash$0.013Fits in one request

Step 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Grok 4.3$0.275Fits in one request
Step 3.7 Flash$0.051Fits in one request

Step 3.7 Flash 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 4.3 and Step 3.7 Flash
SpecificationSpaceXAI Grok 4.3StepFun Step 3.7 Flash
MakerxAIStepFun
WeightsNo public weights listedOpen weights
ReleasedApril 30, 2026May 28, 2026
Context window1M262K
Input $/Mtok$1.25$0.20
Output $/Mtok$2.50$1.15
Coding index37.4Not benchmarked
Independent measurements behind it30
Cost per solved task$0.31Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.3 better than Step 3.7 Flash for coding?

Only Grok 4.3 has a coding score, 37.4 on the Vibe Coding Index; Step 3.7 Flash has none, so the two cannot be ranked on coding. Step 3.7 Flash has the edge where output tokens cost 2.2x less, and where what matters is τ²-Bench Telecom or Design Arena: 3D, where it leads.

Which is cheaper, Grok 4.3 or Step 3.7 Flash?

Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for Grok 4.3 only.

Which has the bigger context window, Grok 4.3 or Step 3.7 Flash?

Grok 4.3, with 1M tokens against 262K.

How many benchmarks is the Grok 4.3 vs Step 3.7 Flash comparison based on?

18 benchmarks have a result for both models as of October 21, 2026. Grok 4.3's coding index rests on 3 independent benchmarks and Step 3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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