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Grok 4.7 vs Qwen3.5 Plus 2026-04-20

Grok 4.7 leads Qwen3.5 Plus 2026-04-20 on coding, 66.7 to 39.5 on the Vibe Coding Index, and Qwen3.5 Plus 2026-04-20 costs 3.3x less per output token ($1.80 vs $6.00 per million). Updated October 23, 2026; 12 benchmarks have a result for both.

Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
11
Qwen3.5 Plus 2026-04-20Qwen
Coding
39.5
Overall
No data
Output $/M
$1.80
1
vs boards won of 12 shared

Grok 4.7 or Qwen3.5 Plus 2026-04-20: which to pick

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 39.5 for Qwen3.5 Plus 2026-04-20.

Pick Qwen3.5 Plus 2026-04-20 for output tokens 3.3x cheaper ($1.80 vs $6.00 per million) and a larger context window (1M against 500K tokens).

Shared results
12
Grok 4.7 only
90
Qwen3.5 Plus 2026-04-20 only
13
Like-for-like categories
7 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, Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks.
Widest category
Coding, 70.4 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): Grok 4.7 86.2% against Qwen3.5 Plus 2026-04-20 15.7%, 70.4 points apart on a 0 to 100 scale.
Output price
Grok 4.7 $6.00 against Qwen3.5 Plus 2026-04-20 $1.80 per million output tokens, 3.3x apart.
Context window
Grok 4.7 takes 500K tokens, Qwen3.5 Plus 2026-04-20 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 4.7BarsQwen3.5 Plus 2026-04-20Ties
Coding10
Intelligence10
Agentic work10
Reasoning30
Math10
Knowledge11
General30
All shared boards111
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Grok 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkGrok 4.7Qwen3.5 Plus 2026-04-20Leader
LiveBench coding84.5%Not measuredOnly Grok 4.7 measured
LMArena WebDev1637Not measuredOnly Grok 4.7 measured
LiveCodeBench (Vals AI)Not measured85.3%Only Qwen3.5 Plus 2026-04-20 measured
SWE-bench Verified (Vals AI)Not measured71.2%Only Qwen3.5 Plus 2026-04-20 measured
Terminal-Bench 4 (Vals AI)28.8%Not measuredOnly Grok 4.7 measured
Vibe Code Bench (Vals AI)86.2%15.7%Grok 4.7
Code migration (Vals AI)44.8%Not measuredOnly Grok 4.7 measured
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%Not measuredOnly Grok 4.7 measured
SWE-bench Multimodal (Vals AI)42.9%Not measuredOnly Grok 4.7 measured
CyberBench (Vals AI)69.5%Not measuredOnly Grok 4.7 measured
SciCode57.8%Not measuredOnly Grok 4.7 measured
FrontierCode47.6%Not measuredOnly Grok 4.7 measured
FrontierSWE29.5%Not measuredOnly Grok 4.7 measured
ALE-BenchNot measured608.9Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: coding1427Not measuredOnly Grok 4.7 measured
LMArena Text: software and IT1419Not measuredOnly Grok 4.7 measured
LMArena WebDev: React1664Not measuredOnly Grok 4.7 measured
LMArena WebDev: HTML1626Not measuredOnly Grok 4.7 measured
LMArena WebDev: from an image1586Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Grok 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkGrok 4.7Qwen3.5 Plus 2026-04-20Leader
AA Intelligence Index46.4Not measuredOnly Grok 4.7 measured
Epoch Capabilities Index154.4146.2Grok 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Grok 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkGrok 4.7Qwen3.5 Plus 2026-04-20Leader
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%Not measuredOnly Grok 4.7 measured
Tax Agent Bench (Vals AI)34.2%Not measuredOnly Grok 4.7 measured
Legal Research Bench (Vals AI)47.1%Not measuredOnly Grok 4.7 measured
Harvey's Legal Agent Benchmark (Vals AI)18.3%Not measuredOnly Grok 4.7 measured
Excel Modeling Benchmark (Vals AI)67.0%Not measuredOnly Grok 4.7 measured
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
APEX-Agents54.6%Not measuredOnly Grok 4.7 measured
Vending-Bench 2$10,537$1Grok 4.7
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Grok 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkGrok 4.7Qwen3.5 Plus 2026-04-20Leader
GPQA DiamondNot measured87.4%Only Qwen3.5 Plus 2026-04-20 measured
LiveBench reasoning82.7%Not measuredOnly Grok 4.7 measured
MysteryMechanism (Vals AI)25.2%Not measuredOnly Grok 4.7 measured
MMMU Pro (Vals AI)Not measured22.8%Only Qwen3.5 Plus 2026-04-20 measured
Humanity's Last Exam (Artificial Analysis run)43.1%Not measuredOnly Grok 4.7 measured
GPQA Diamond (Epoch AI run)92.7%84.8%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%8.0%Grok 4.7
Mystery game puzzles29.0%17.0%Grok 4.7
LMArena Text: hard prompts1414Not measuredOnly Grok 4.7 measured
LMArena Text: expert1439Not measuredOnly Grok 4.7 measured
LMArena Text: hard prompts in English1426Not measuredOnly Grok 4.7 measured
LMArena Vision: diagrams1254Not measuredOnly Grok 4.7 measured
LMArena Vision: homework1309Not measuredOnly Grok 4.7 measured
Humanity's Last Exam (Scale run)23.4%Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Grok 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkGrok 4.7Qwen3.5 Plus 2026-04-20Leader
AIMENot measured86.0%Only Qwen3.5 Plus 2026-04-20 measured
OTIS Mock AIME98.1%86.7%Grok 4.7
FrontierMath, tiers 1 to 353.0%Not measuredOnly Grok 4.7 measured
FrontierMath, tier 417.1%Not measuredOnly Grok 4.7 measured
ProofBench26.0%Not measuredOnly Grok 4.7 measured
LMArena Text: math1413Not measuredOnly Grok 4.7 measured
LMArena Text: mathematical work1435Not measuredOnly Grok 4.7 measured
MathArena41.1%Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index11
Knowledge benchmarks for Grok 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkGrok 4.7Qwen3.5 Plus 2026-04-20Leader
MMLU ProNot measured87.2%Only Qwen3.5 Plus 2026-04-20 measured
LegalBench (Vals AI)84.4%85.1%Qwen3.5 Plus 2026-04-20
CaseLaw (Vals AI)Not measured59.7%Only Qwen3.5 Plus 2026-04-20 measured
CorpFin (Vals AI)Not measured65.3%Only Qwen3.5 Plus 2026-04-20 measured
MortgageTax (Vals AI)Not measured60.8%Only Qwen3.5 Plus 2026-04-20 measured
MedQA (Vals AI)Not measured95.2%Only Qwen3.5 Plus 2026-04-20 measured
MedCode (Vals AI)49.5%Not measuredOnly Grok 4.7 measured
SimpleQA Verified56.0%25.4%Grok 4.7
LMArena Text: science1419Not measuredOnly Grok 4.7 measured
LMArena Text: medicine and healthcare1393Not measuredOnly Grok 4.7 measured
LMArena Text: legal and government1419Not measuredOnly Grok 4.7 measured
LMArena Text: business and finance1388Not measuredOnly Grok 4.7 measured
PRBench Legal47.6%Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Grok 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkGrok 4.7Qwen3.5 Plus 2026-04-20Leader
Design Arena: websites1255Not measuredOnly Grok 4.7 measured
Design Arena: UI components1275Not measuredOnly Grok 4.7 measured
Design Arena: game dev1314Not measuredOnly Grok 4.7 measured
Design Arena: data viz1238Not measuredOnly Grok 4.7 measured
Design Arena: 3D1275Not measuredOnly Grok 4.7 measured
Design Arena: all code categories1272Not measuredOnly Grok 4.7 measured
LiveBench design78.0%Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
General benchmarks for Grok 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkGrok 4.7Qwen3.5 Plus 2026-04-20Leader
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%30.4%Grok 4.7
MedScribe (Vals AI)89.4%Not measuredOnly Grok 4.7 measured
Long context reasoning (AA-LCR)80.0%Not measuredOnly Grok 4.7 measured
DTBench96.0%80.5%Grok 4.7
LMCA49.4%36.4%Grok 4.7
CL-benchNot measured19.8%Only Qwen3.5 Plus 2026-04-20 measured
Furniture assembly20.8%Not measuredOnly Grok 4.7 measured
CL-bench LifeNot measured12.4%Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text1398Not measuredOnly Grok 4.7 measured
LMArena Text: instruction following1408Not measuredOnly Grok 4.7 measured
LMArena Text: creative writing1381Not measuredOnly Grok 4.7 measured
LMArena Vision1231Not measuredOnly Grok 4.7 measured
LMArena Text: English1411Not measuredOnly Grok 4.7 measured
LMArena Text: non-English1385Not measuredOnly Grok 4.7 measured
LMArena Text: Chinese1445Not measuredOnly Grok 4.7 measured
LMArena Text: German1372Not measuredOnly Grok 4.7 measured
LMArena Text: Japanese1356Not measuredOnly Grok 4.7 measured
LMArena Text: Korean1378Not measuredOnly Grok 4.7 measured
LMArena Text: French1431Not measuredOnly Grok 4.7 measured
LMArena Text: Spanish1403Not measuredOnly Grok 4.7 measured
LMArena Text: Russian1399Not measuredOnly Grok 4.7 measured
LMArena Text: Polish1412Not measuredOnly Grok 4.7 measured
LMArena Text: multi-turn1394Not measuredOnly Grok 4.7 measured
LMArena Text: longer queries1416Not measuredOnly Grok 4.7 measured
LMArena Text: writing and language1394Not measuredOnly Grok 4.7 measured
LMArena Text: entertainment and media1375Not measuredOnly Grok 4.7 measured
LMArena Vision: English1229Not measuredOnly Grok 4.7 measured
LMArena Vision: Chinese1250Not measuredOnly Grok 4.7 measured
LMArena Vision: reading text1241Not measuredOnly Grok 4.7 measured
LMArena Vision: creative writing1217Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 15 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 Qwen3.5 Plus 2026-04-20
BenchmarkGrok 4.7Qwen3.5 Plus 2026-04-20Leader
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
Qwen3.5 Plus 2026-04-20$0.0012Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Repository review

50K input + 3K output tokens

Grok 4.7$0.118Fits in one request
Qwen3.5 Plus 2026-04-20$0.020Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Agent loop

200K input + 10K output tokens

Grok 4.7$0.460Fits in one request
Qwen3.5 Plus 2026-04-20$0.078Fits in one request

Qwen3.5 Plus 2026-04-20 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 Qwen3.5 Plus 2026-04-20
SpecificationSpaceXAI Grok 4.7Qwen3.5 Plus 2026-04-20
MakerxAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 21, 2026April 27, 2026
Context window500K1M
Input $/Mtok$2.00$0.30
Output $/Mtok$6.00$1.80
Coding index66.739.5
Independent measurements behind it52
Cost per solved taskNot computable$1.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.7 better than Qwen3.5 Plus 2026-04-20 for coding?

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 39.5 for Qwen3.5 Plus 2026-04-20. Pick Qwen3.5 Plus 2026-04-20 for output tokens 3.3x cheaper ($1.80 vs $6.00 per million) and a larger context window (1M against 500K tokens).

Which is cheaper, Grok 4.7 or Qwen3.5 Plus 2026-04-20?

Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3.5 Plus 2026-04-20 costs $0.30 and $1.80. Cost per solved task is known for Qwen3.5 Plus 2026-04-20 only.

Which has the bigger context window, Grok 4.7 or Qwen3.5 Plus 2026-04-20?

Qwen3.5 Plus 2026-04-20, with 1M tokens against 500K.

How many benchmarks is the Grok 4.7 vs Qwen3.5 Plus 2026-04-20 comparison based on?

12 benchmarks have a result for both models as of October 23, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and Qwen3.5 Plus 2026-04-20'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-qwen3-5-plus-20260420" title="Grok 4.7 vs Qwen3.5 Plus 2026-04-20, 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-qwen3-5-plus-20260420">LLMBenchmark.ai, Grok 4.7 vs Qwen3.5 Plus 2026-04-20</a></p>