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Grok 4.5 vs Qwen3.7 Plus

Grok 4.5 leads Qwen3.7 Plus on coding, 58.6 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; 70 benchmarks have a result for both.

Grok 4.5xAI
Coding
58.6
Overall
62.1
Output $/M
$6.00
52
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
18
vs boards won of 70 shared

Grok 4.5 or Qwen3.7 Plus: which to pick

Pick Grok 4.5 for coding: it scores 58.6 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
70
Grok 4.5 only
53
Qwen3.7 Plus only
5
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 4.5 58.6 from 6 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Coding, 16.5 points apart on average over 9 shared benchmarks.
Widest single gap
FrontierCode: Grok 4.5 42.4% against Qwen3.7 Plus 10.2%, 49.6 points apart on a 0 to 100 scale.
Output price
Grok 4.5 $6.00 against Qwen3.7 Plus $1.28 per million output tokens, 4.7x apart.
Context window
Grok 4.5 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 4.5BarsQwen3.7 PlusTies
Coding81
Intelligence20
Agentic work50
Reasoning71
Math31
Knowledge32
Web design71
General1712
All shared boards5218
CodingLike-for-likeSix of these boards feed the Vibe Coding Index81
Coding benchmarks for Grok 4.5 and Qwen3.7 Plus
BenchmarkGrok 4.5Qwen3.7 PlusLeader
LiveBench coding94.3%Not measuredOnly Grok 4.5 measured
LMArena WebDev1553Not measuredOnly Grok 4.5 measured
AA Coding Index72.455.9Grok 4.5
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%46.4%Grok 4.5
Code migration (Vals AI)36.6%12.9%Grok 4.5
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%52.8%Grok 4.5
SkillsBench (Vals AI)66.0%54.3%Grok 4.5
CyberBench (Vals AI)71.0%Not measuredOnly Grok 4.5 measured
SciCode55.0%46.1%Grok 4.5
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Qwen3.7 Plus measured
FrontierCode42.4%10.2%Grok 4.5
WeirdML46.4%Not measuredOnly Grok 4.5 measured
ALE-Bench1309.3Not measuredOnly Grok 4.5 measured
LMArena Text: coding14741473Grok 4.5
LMArena Text: software and IT14711473Qwen3.7 Plus
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 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Grok 4.5 and Qwen3.7 Plus
BenchmarkGrok 4.5Qwen3.7 PlusLeader
AA Intelligence Index38.825.2Grok 4.5
Epoch Capabilities Index154.1147.0Grok 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Grok 4.5 and Qwen3.7 Plus
BenchmarkGrok 4.5Qwen3.7 PlusLeader
AA Agentic Index41.217.5Grok 4.5
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%38.2%Grok 4.5
Tax Agent Bench (Vals AI)24.9%10.5%Grok 4.5
Legal Research Bench (Vals AI)38.0%16.4%Grok 4.5
Excel Modeling Benchmark (Vals AI)52.9%49.3%Grok 4.5
Time Horizon Index (Vals AI)6.3%Not measuredOnly Grok 4.5 measured
τ²-Bench TelecomNot measured93.0%Only Qwen3.7 Plus measured
APEX-Agents56.2%Not measuredOnly Grok 4.5 measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus 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 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
Reasoning benchmarks for Grok 4.5 and Qwen3.7 Plus
BenchmarkGrok 4.5Qwen3.7 PlusLeader
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%90.0%Grok 4.5
Humanity's Last Exam (Artificial Analysis run)42.7%35.6%Grok 4.5
GPQA Diamond (Epoch AI run)93.4%87.9%Grok 4.5
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
Mystery game puzzlesNot measured17.0%Only Qwen3.7 Plus measured
LMArena Text: hard prompts14621460Grok 4.5
LMArena Text: expert14651466Qwen3.7 Plus
LMArena Text: hard prompts in English14641460Grok 4.5
LMArena Vision: diagrams13041292Grok 4.5
LMArena Vision: homework12951295Grok 4.5
Kagi LLM Benchmark83.5%Not measuredOnly Grok 4.5 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index31
Math benchmarks for Grok 4.5 and Qwen3.7 Plus
BenchmarkGrok 4.5Qwen3.7 PlusLeader
OTIS Mock AIME97.8%93.3%Grok 4.5
FrontierMath, tiers 1 to 357.2%34.4%Grok 4.5
FrontierMath, tier 424.4%Not measuredOnly Grok 4.5 measured
ProofBench31.0%Not measuredOnly Grok 4.5 measured
LMArena Text: math14601467Qwen3.7 Plus
LMArena Text: mathematical work14821470Grok 4.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
Knowledge benchmarks for Grok 4.5 and Qwen3.7 Plus
BenchmarkGrok 4.5Qwen3.7 PlusLeader
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%66.2%Qwen3.7 Plus
MedCode (Vals AI)43.3%Not measuredOnly Grok 4.5 measured
SimpleQA Verified48.3%Not measuredOnly Grok 4.5 measured
LMArena Text: science14641464Grok 4.5
LMArena Text: medicine and healthcare14401464Qwen3.7 Plus
LMArena Text: legal and government14631451Grok 4.5
LMArena Text: business and finance14411435Grok 4.5
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 index71
Web design benchmarks for Grok 4.5 and Qwen3.7 Plus
BenchmarkGrok 4.5Qwen3.7 PlusLeader
Design Arena: websites12811269Grok 4.5
Design Arena: UI components12791261Grok 4.5
Design Arena: game dev12631262Grok 4.5
Design Arena: data viz12661276Qwen3.7 Plus
Design Arena: 3D12571239Grok 4.5
Design Arena: all code categories12751269Grok 4.5
Design Arena: SVG12151208Grok 4.5
Design Arena: ASCII art12571143Grok 4.5
LiveBench design78.1%Not measuredOnly Grok 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index1712
General benchmarks for Grok 4.5 and Qwen3.7 Plus
BenchmarkGrok 4.5Qwen3.7 PlusLeader
LiveBench data analysis73.0%Not measuredOnly Grok 4.5 measured
SAGE (Vals AI)35.0%39.3%Qwen3.7 Plus
MedScribe (Vals AI)86.9%Not measuredOnly Grok 4.5 measured
Vals Multimodal Index63.4%53.9%Grok 4.5
IFBenchNot measured78.0%Only Qwen3.7 Plus measured
Long context reasoning (AA-LCR)79.3%73.0%Grok 4.5
DTBench96.5%84.0%Grok 4.5
LMCA45.2%37.6%Grok 4.5
Surface Evolver Bench74.4%Not measuredOnly Grok 4.5 measured
Furniture assembly22.5%Not measuredOnly Grok 4.5 measured
LMArena Text14481454Qwen3.7 Plus
LMArena Text: instruction following14451439Grok 4.5
LMArena Text: creative writing14421438Grok 4.5
LMArena Vision12871278Grok 4.5
LMArena Text: English14531458Qwen3.7 Plus
LMArena Text: non-English14401445Qwen3.7 Plus
LMArena Text: Chinese14951509Qwen3.7 Plus
LMArena Text: German14481471Qwen3.7 Plus
LMArena Text: Japanese14301412Grok 4.5
LMArena Text: Korean14061413Qwen3.7 Plus
LMArena Text: French14571472Qwen3.7 Plus
LMArena Text: Spanish14511457Qwen3.7 Plus
LMArena Text: Russian14491457Qwen3.7 Plus
LMArena Text: Polish14321449Qwen3.7 Plus
LMArena Text: multi-turn14561459Qwen3.7 Plus
LMArena Text: longer queries14621454Grok 4.5
LMArena Text: writing and language14451437Grok 4.5
LMArena Text: entertainment and media14341422Grok 4.5
LMArena Vision: English12851280Grok 4.5
LMArena Vision: Chinese13451332Grok 4.5
LMArena Vision: reading text12931288Grok 4.5
LMArena Vision: humor12761261Grok 4.5
LMArena Vision: creative writing12931258Grok 4.5
LMArena Document14521444Grok 4.5
Neither model has a result on the other 12 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 Qwen3.7 Plus
BenchmarkGrok 4.5Qwen3.7 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 4.5$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 4.5$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 4.5$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 4.5 and Qwen3.7 Plus
SpecificationSpaceXAI Grok 4.5Qwen3.7 Plus
MakerxAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedJuly 8, 2026June 3, 2026
Context window500K1M
Input $/Mtok$2.00$0.32
Output $/Mtok$6.00$1.28
Coding index58.633.2
Independent measurements behind it62
Cost per solved task$0.62Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.5 better than Qwen3.7 Plus for coding?

Pick Grok 4.5 for coding: it scores 58.6 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 4.5 or Qwen3.7 Plus?

Grok 4.5 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 Grok 4.5 only.

Which has the bigger context window, Grok 4.5 or Qwen3.7 Plus?

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

How many benchmarks is the Grok 4.5 vs Qwen3.7 Plus comparison based on?

70 benchmarks have a result for both models as of October 21, 2026. Grok 4.5's coding index rests on 6 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-4-5-vs-qwen3-7-plus" title="Grok 4.5 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-4-5-vs-qwen3-7-plus">LLMBenchmark.ai, Grok 4.5 vs Qwen3.7 Plus</a></p>