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Grok 4.7 vs Qwen3.7 Plus

Grok 4.7 leads Qwen3.7 Plus on coding, 66.7 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 4.7x less per output token ($1.28 vs $6.00 per million). Updated October 21, 2026; 61 benchmarks have a result for both.

Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
25
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
36
vs boards won of 61 shared

Grok 4.7 or Qwen3.7 Plus: which to pick

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.

Pick Qwen3.7 Plus for output tokens 4.7x cheaper ($1.28 vs $6.00 per million) and a larger context window (1M against 500K tokens).

Shared results
61
Grok 4.7 only
38
Qwen3.7 Plus only
14
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, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Coding, 25.3 points apart on average over 7 shared benchmarks.
Widest single gap
FrontierCode: Grok 4.7 47.6% against Qwen3.7 Plus 10.2%, 57.5 points apart on a 0 to 100 scale.
Output price
Grok 4.7 $6.00 against Qwen3.7 Plus $1.28 per million output tokens, 4.7x apart.
Context window
Grok 4.7 takes 500K tokens, Qwen3.7 Plus 1M.

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 4.7BarsQwen3.7 PlusTies
Coding52
Intelligence20
Agentic work40
Reasoning44
Math22
Knowledge04
Web design42
General422
All shared boards2536
CodingLike-for-likeSix of these boards feed the Vibe Coding Index52
Coding benchmarks for Grok 4.7 and Qwen3.7 Plus
BenchmarkGrok 4.7Qwen3.7 PlusLeader
LiveBench coding84.5%Not measuredOnly Grok 4.7 measured
LMArena WebDev1637Not measuredOnly Grok 4.7 measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
Terminal-Bench 4 (Vals AI)28.8%Not measuredOnly Grok 4.7 measured
Vibe Code Bench (Vals AI)86.2%46.4%Grok 4.7
Code migration (Vals AI)44.8%12.9%Grok 4.7
ProgramBench (Vals AI)0.5%Not measuredOnly Grok 4.7 measured
IOI (Vals AI)57.7%Not measuredOnly Grok 4.7 measured
Terminal-Bench 2.1 (Vals AI)73.4%52.8%Grok 4.7
SWE-bench Multimodal (Vals AI)42.9%Not measuredOnly Grok 4.7 measured
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
CyberBench (Vals AI)69.5%Not measuredOnly Grok 4.7 measured
SciCode57.8%46.1%Grok 4.7
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Qwen3.7 Plus measured
FrontierCode47.6%10.2%Grok 4.7
FrontierSWE29.5%Not measuredOnly Grok 4.7 measured
LMArena Text: coding14321473Qwen3.7 Plus
LMArena Text: software and IT14211473Qwen3.7 Plus
LMArena WebDev: React1663Not measuredOnly Grok 4.7 measured
LMArena WebDev: HTML1627Not measuredOnly Grok 4.7 measured
LMArena WebDev: from an image1586Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Grok 4.7 and Qwen3.7 Plus
BenchmarkGrok 4.7Qwen3.7 PlusLeader
AA Intelligence Index46.425.2Grok 4.7
Epoch Capabilities Index154.4147.0Grok 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Grok 4.7 and Qwen3.7 Plus
BenchmarkGrok 4.7Qwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
LiveBench research86.4%Not measuredOnly Grok 4.7 measured
LiveBench browser60.0%Not measuredOnly Grok 4.7 measured
LiveBench long agentic50.1%Not measuredOnly Grok 4.7 measured
SREBench (Vals AI)3.8%Not measuredOnly Grok 4.7 measured
Finance Agent (Vals AI)52.3%38.2%Grok 4.7
Tax Agent Bench (Vals AI)34.2%10.5%Grok 4.7
Legal Research Bench (Vals AI)47.1%16.4%Grok 4.7
Harvey's Legal Agent Benchmark (Vals AI)18.3%Not measuredOnly Grok 4.7 measured
Excel Modeling Benchmark (Vals AI)67.0%49.3%Grok 4.7
BioMysteryBench (Vals AI)69.3%Not measuredOnly Grok 4.7 measured
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
τ²-Bench TelecomNot measured93.0%Only Qwen3.7 Plus measured
APEX-Agents54.6%Not measuredOnly Grok 4.7 measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Vending-Bench 2$10,537Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index44
Reasoning benchmarks for Grok 4.7 and Qwen3.7 Plus
BenchmarkGrok 4.7Qwen3.7 PlusLeader
LiveBench reasoning82.7%Not measuredOnly Grok 4.7 measured
MysteryMechanism (Vals AI)25.2%Not measuredOnly Grok 4.7 measured
GPQA Diamond (Artificial Analysis run)Not measured90.0%Only Qwen3.7 Plus measured
Humanity's Last Exam (Artificial Analysis run)43.1%35.6%Grok 4.7
GPQA Diamond (Epoch AI run)92.7%87.9%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%Not measuredOnly Grok 4.7 measured
Mystery game puzzles29.0%17.0%Grok 4.7
LMArena Text: hard prompts14151460Qwen3.7 Plus
LMArena Text: expert14391466Qwen3.7 Plus
LMArena Text: hard prompts in English14271460Qwen3.7 Plus
LMArena Vision: diagrams12541292Qwen3.7 Plus
LMArena Vision: homework13091295Grok 4.7
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for Grok 4.7 and Qwen3.7 Plus
BenchmarkGrok 4.7Qwen3.7 PlusLeader
OTIS Mock AIME98.1%93.3%Grok 4.7
FrontierMath, tiers 1 to 353.0%34.4%Grok 4.7
FrontierMath, tier 417.1%Not measuredOnly Grok 4.7 measured
ProofBench26.0%Not measuredOnly Grok 4.7 measured
LMArena Text: math14141467Qwen3.7 Plus
LMArena Text: mathematical work14351470Qwen3.7 Plus
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Grok 4.7 and Qwen3.7 Plus
BenchmarkGrok 4.7Qwen3.7 PlusLeader
LegalBench (Vals AI)84.4%Not measuredOnly Grok 4.7 measured
MortgageTax (Vals AI)Not measured66.2%Only Qwen3.7 Plus measured
MedCode (Vals AI)49.5%Not measuredOnly Grok 4.7 measured
SimpleQA Verified56.0%Not measuredOnly Grok 4.7 measured
LMArena Text: science14191464Qwen3.7 Plus
LMArena Text: medicine and healthcare13951464Qwen3.7 Plus
LMArena Text: legal and government14231451Qwen3.7 Plus
LMArena Text: business and finance13891435Qwen3.7 Plus
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index42
Web design benchmarks for Grok 4.7 and Qwen3.7 Plus
BenchmarkGrok 4.7Qwen3.7 PlusLeader
Design Arena: websites12541269Qwen3.7 Plus
Design Arena: UI components12751261Grok 4.7
Design Arena: game dev13131262Grok 4.7
Design Arena: data viz12351276Qwen3.7 Plus
Design Arena: 3D12701239Grok 4.7
Design Arena: all code categories12711269Grok 4.7
Design Arena: SVGNot measured1208Only Qwen3.7 Plus measured
Design Arena: ASCII artNot measured1143Only Qwen3.7 Plus measured
LiveBench design78.0%Not measuredOnly Grok 4.7 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index422
General benchmarks for Grok 4.7 and Qwen3.7 Plus
BenchmarkGrok 4.7Qwen3.7 PlusLeader
Vals Index58.6%Not measuredOnly Grok 4.7 measured
LiveBench data analysis76.9%Not measuredOnly Grok 4.7 measured
Public Benefits Bench (Vals AI)65.6%Not measuredOnly Grok 4.7 measured
SAGE (Vals AI)40.8%39.3%Grok 4.7
MedScribe (Vals AI)89.4%Not measuredOnly Grok 4.7 measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBenchNot measured78.0%Only Qwen3.7 Plus measured
Long context reasoning (AA-LCR)80.0%73.0%Grok 4.7
DTBench96.0%84.0%Grok 4.7
LMCA49.4%37.6%Grok 4.7
Furniture assembly20.8%Not measuredOnly Grok 4.7 measured
LMArena Text13991454Qwen3.7 Plus
LMArena Text: instruction following14061439Qwen3.7 Plus
LMArena Text: creative writing13811438Qwen3.7 Plus
LMArena Vision12311278Qwen3.7 Plus
LMArena Text: English14111458Qwen3.7 Plus
LMArena Text: non-English13861445Qwen3.7 Plus
LMArena Text: Chinese14491509Qwen3.7 Plus
LMArena Text: German13661471Qwen3.7 Plus
LMArena Text: Japanese13591412Qwen3.7 Plus
LMArena Text: Korean13831413Qwen3.7 Plus
LMArena Text: French14311472Qwen3.7 Plus
LMArena Text: Spanish14061457Qwen3.7 Plus
LMArena Text: Russian13991457Qwen3.7 Plus
LMArena Text: Polish14201449Qwen3.7 Plus
LMArena Text: multi-turn13941459Qwen3.7 Plus
LMArena Text: longer queries14161454Qwen3.7 Plus
LMArena Text: writing and language13941437Qwen3.7 Plus
LMArena Text: entertainment and media13761422Qwen3.7 Plus
LMArena Vision: English12291280Qwen3.7 Plus
LMArena Vision: Chinese12501332Qwen3.7 Plus
LMArena Vision: reading text12411288Qwen3.7 Plus
LMArena Vision: humorNot measured1261Only Qwen3.7 Plus measured
LMArena Vision: creative writing12171258Qwen3.7 Plus
LMArena DocumentNot measured1444Only Qwen3.7 Plus measured
Neither model has a result on the other 11 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 Qwen3.7 Plus
BenchmarkGrok 4.7Qwen3.7 PlusLeader
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
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

Grok 4.7$0.118Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Grok 4.7$0.460Fits in one request
Qwen3.7 Plus$0.077Fits in one request

Qwen3.7 Plus 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 Qwen3.7 Plus
SpecificationSpaceXAI Grok 4.7Qwen3.7 Plus
MakerxAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 21, 2026June 3, 2026
Context window500K1M
Input $/Mtok$2.00$0.32
Output $/Mtok$6.00$1.28
Coding index66.733.2
Independent measurements behind it52
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.7 better than Qwen3.7 Plus for coding?

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 4.7x cheaper ($1.28 vs $6.00 per million) and a larger context window (1M against 500K tokens).

Which is cheaper, Grok 4.7 or Qwen3.7 Plus?

Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Grok 4.7 or Qwen3.7 Plus?

Qwen3.7 Plus, with 1M tokens against 500K.

How many benchmarks is the Grok 4.7 vs Qwen3.7 Plus comparison based on?

61 benchmarks have a result for both models as of October 21, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/grok-4-7-vs-qwen3-7-plus" title="Grok 4.7 vs Qwen3.7 Plus, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/grok-4-7-vs-qwen3-7-plus">LLMBenchmark.ai, Grok 4.7 vs Qwen3.7 Plus</a></p>