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Grok 4.5 vs Qwen3.8 27B

Updated October 21, 2026. 84 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Grok 4.5xAI
Coding
75.5
Overall
38.8
Output $/M
$6.00
61
Qwen3.8 27BQwen
Coding
73.6
Overall
33.7
Output $/M
$1.35
21
vs boards won of 84 shared, 2 tied

Decision reading

Grok 4.5 and Qwen3.8 27B are level for coding, 75.5 against 73.6 on the Vibe Coding Index, so price and context decide.

Pick Qwen3.8 27B when output tokens cost 4.4x less, or when the context window is larger, 1M against 500K tokens. Pick Grok 4.5 when a solved task costs $0.62 against $1.26, or when what matters is LiveBench coding or AA Coding Index, where it leads.

Shared results
84
Grok 4.5 only
36
Qwen3.8 27B only
1
Like-for-like categories
8 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 4.5 75.5 from 2 benchmarks, Qwen3.8 27B 73.6 from 2 benchmarks.
Widest category
Agentic work, 7.4 points apart on average over 9 shared benchmarks.
Widest single gap
Surface Evolver Bench: Grok 4.5 74.4% against Qwen3.8 27B 45.0%, 29.4 points apart on a 0 to 100 scale.
Output price
Grok 4.5 $6.00 against Qwen3.8 27B $1.35 per million output tokens, 4.4x apart.
Context window
Grok 4.5 takes 500K tokens, Qwen3.8 27B 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 4.5BarsQwen3.8 27BTies
Coding1161 tie
Intelligence20
Agentic work441 tie
Reasoning93
Math30
Knowledge72
Web design10
General246
All shared boards61212 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index116
Coding benchmarks for Grok 4.5 and Qwen3.8 27B
BenchmarkGrok 4.5Qwen3.8 27BLeader
LiveBench coding94.3%86.8%Grok 4.5
LMArena WebDev15531593Qwen3.8 27B
AA Coding Index72.468.1Grok 4.5
LiveCodeBench (Vals AI)87.3%84.0%Grok 4.5
SWE-bench Verified (Vals AI)86.6%86.0%Grok 4.5
Terminal-Bench 4 (Vals AI)8.6%Not measuredOnly Grok 4.5 measured
Vibe Code Bench (Vals AI)69.0%64.8%Grok 4.5
Code migration (Vals AI)36.6%14.2%Grok 4.5
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)40.6%39.1%Grok 4.5
Terminal-Bench 2.1 (Vals AI)67.8%58.4%Grok 4.5
SkillsBench (Vals AI)66.0%38.1%Grok 4.5
CyberBench (Vals AI)71.0%67.8%Grok 4.5
SciCode55.0%46.6%Grok 4.5
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: coding14741483Qwen3.8 27B
LMArena Text: software and IT14711478Qwen3.8 27B
LMArena WebDev: React15561602Qwen3.8 27B
LMArena WebDev: HTML15671570Qwen3.8 27B
LMArena WebDev: from an image15621577Qwen3.8 27B
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Grok 4.5 and Qwen3.8 27B
BenchmarkGrok 4.5Qwen3.8 27BLeader
AA Intelligence Index38.833.7Grok 4.5
Epoch Capabilities Index154.1151.7Grok 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index44
Agentic work benchmarks for Grok 4.5 and Qwen3.8 27B
BenchmarkGrok 4.5Qwen3.8 27BLeader
AA Agentic Index41.245.8Qwen3.8 27B
Design Arena: agents building web apps1217Not 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 games1235Not measuredOnly Grok 4.5 measured
Design Arena: HTML slides1204Not measuredOnly Grok 4.5 measured
Design Arena: PowerPoint slides1232Not measuredOnly Grok 4.5 measured
LiveBench research85.9%59.4%Grok 4.5
LiveBench browser44.0%32.0%Grok 4.5
LiveBench long agentic27.9%27.9%Tie
SREBench (Vals AI)0.8%Not measuredOnly Grok 4.5 measured
Finance Agent (Vals AI)48.4%48.5%Qwen3.8 27B
Tax Agent Bench (Vals AI)24.9%30.9%Qwen3.8 27B
Legal Research Bench (Vals AI)38.0%36.1%Grok 4.5
Excel Modeling Benchmark (Vals AI)52.9%59.7%Qwen3.8 27B
Terminal-Bench-Science (Vals AI)Not measured0.0%Only Qwen3.8 27B measured
Time Horizon Index (Vals AI)6.3%Not measuredOnly Grok 4.5 measured
APEX-Agents56.2%47.5%Grok 4.5
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 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index93
Reasoning benchmarks for Grok 4.5 and Qwen3.8 27B
BenchmarkGrok 4.5Qwen3.8 27BLeader
GPQA Diamond92.9%88.9%Grok 4.5
LiveBench reasoning87.2%80.0%Grok 4.5
MMMU Pro (Vals AI)61.8%83.9%Qwen3.8 27B
GPQA Diamond (Artificial Analysis run)93.1%90.5%Grok 4.5
Humanity's Last Exam (Artificial Analysis run)42.7%33.9%Grok 4.5
GPQA Diamond (Epoch AI run)93.4%Not measuredOnly Grok 4.5 measured
ARC-AGI87.2%87.5%Qwen3.8 27B
ARC-AGI-252.6%42.4%Grok 4.5
SimpleBench70.0%Not measuredOnly Grok 4.5 measured
Chess puzzles35.0%Not measuredOnly Grok 4.5 measured
LMArena Text: hard prompts14621459Grok 4.5
LMArena Text: expert14651479Qwen3.8 27B
LMArena Text: hard prompts in English14641461Grok 4.5
LMArena Vision: diagrams13041285Grok 4.5
LMArena Vision: homework12951295Grok 4.5
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Grok 4.5 and Qwen3.8 27B
BenchmarkGrok 4.5Qwen3.8 27BLeader
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%16.0%Grok 4.5
LMArena Text: math14601455Grok 4.5
LMArena Text: mathematical work14821458Grok 4.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index72
Knowledge benchmarks for Grok 4.5 and Qwen3.8 27B
BenchmarkGrok 4.5Qwen3.8 27BLeader
MMLU Pro89.2%84.3%Grok 4.5
LegalBench (Vals AI)86.0%82.4%Grok 4.5
CorpFin (Vals AI)67.4%Not measuredOnly Grok 4.5 measured
TaxEval (Vals AI)71.7%70.8%Grok 4.5
MortgageTax (Vals AI)61.8%64.9%Qwen3.8 27B
MedCode (Vals AI)43.3%28.7%Grok 4.5
SimpleQA Verified48.3%Not measuredOnly Grok 4.5 measured
LMArena Text: science14641467Qwen3.8 27B
LMArena Text: medicine and healthcare14401437Grok 4.5
LMArena Text: legal and government14631447Grok 4.5
LMArena Text: business and finance14411438Grok 4.5
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index10
Web design benchmarks for Grok 4.5 and Qwen3.8 27B
BenchmarkGrok 4.5Qwen3.8 27BLeader
Design Arena: websites1281Not measuredOnly Grok 4.5 measured
Design Arena: UI components1279Not measuredOnly Grok 4.5 measured
Design Arena: game dev1263Not measuredOnly Grok 4.5 measured
Design Arena: data viz1267Not measuredOnly Grok 4.5 measured
Design Arena: 3D1257Not measuredOnly Grok 4.5 measured
Design Arena: all code categories1276Not measuredOnly Grok 4.5 measured
Design Arena: SVG1215Not measuredOnly Grok 4.5 measured
Design Arena: ASCII art1257Not measuredOnly Grok 4.5 measured
LiveBench design78.1%75.9%Grok 4.5
GeneralLike-for-likePublic boards, shown as published, kept out of the index246
General benchmarks for Grok 4.5 and Qwen3.8 27B
BenchmarkGrok 4.5Qwen3.8 27BLeader
LiveBench data analysis73.0%76.6%Qwen3.8 27B
SAGE (Vals AI)35.0%52.4%Qwen3.8 27B
MedScribe (Vals AI)86.9%83.8%Grok 4.5
Vals Multimodal Index63.4%Not measuredOnly Grok 4.5 measured
Long context reasoning (AA-LCR)79.3%82.0%Qwen3.8 27B
DTBench96.5%88.0%Grok 4.5
LMCA45.2%41.4%Grok 4.5
Surface Evolver Bench74.4%45.0%Grok 4.5
Furniture assembly22.5%Not measuredOnly Grok 4.5 measured
LMArena Text14481440Grok 4.5
LMArena Text: instruction following14451436Grok 4.5
LMArena Text: creative writing14421383Grok 4.5
LMArena Vision12871269Grok 4.5
LMArena Text: English14531448Grok 4.5
LMArena Text: non-English14401428Grok 4.5
LMArena Text: Chinese14951501Qwen3.8 27B
LMArena Text: German14481443Grok 4.5
LMArena Text: Japanese14301387Grok 4.5
LMArena Text: Korean14061384Grok 4.5
LMArena Text: French14571465Qwen3.8 27B
LMArena Text: Spanish14511449Grok 4.5
LMArena Text: Russian14491415Grok 4.5
LMArena Text: Polish14321439Qwen3.8 27B
LMArena Text: multi-turn14561440Grok 4.5
LMArena Text: longer queries14621448Grok 4.5
LMArena Text: writing and language14451405Grok 4.5
LMArena Text: entertainment and media14341393Grok 4.5
LMArena Vision: English12851267Grok 4.5
LMArena Vision: Chinese13451326Grok 4.5
LMArena Vision: reading text12931281Grok 4.5
LMArena Vision: humor12761235Grok 4.5
LMArena Vision: creative writing12931237Grok 4.5
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 Qwen3.8 27B
BenchmarkGrok 4.5Qwen3.8 27BLeader
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
Qwen3.8 27B$0.0007Fits in one request

Qwen3.8 27B costs less

Repository review

50K input + 3K output tokens

Grok 4.5$0.118Fits in one request
Qwen3.8 27B$0.0060Fits in one request

Qwen3.8 27B costs less

Agent loop

200K input + 10K output tokens

Grok 4.5$0.460Fits in one request
Qwen3.8 27B$0.021Fits in one request

Qwen3.8 27B 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 Qwen3.8 27B
SpecificationSpaceXAI Grok 4.5Qwen3.8 27B
MakerxAIQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 8, 2026August 14, 2026
Context window500K1M
Input $/Mtok$2.00$0.04
Output $/Mtok$6.00$1.35
Coding index75.573.6
Independent measurements behind it22
Cost per solved task$0.62$1.26
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.5 better than Qwen3.8 27B for coding?

Grok 4.5 and Qwen3.8 27B are level for coding, 75.5 against 73.6 on the Vibe Coding Index, so price and context decide. Pick Qwen3.8 27B when output tokens cost 4.4x less, or when the context window is larger, 1M against 500K tokens. Pick Grok 4.5 when a solved task costs $0.62 against $1.26, or when what matters is LiveBench coding or AA Coding Index, where it leads.

Which is cheaper, Grok 4.5 or Qwen3.8 27B?

Grok 4.5 costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Per solved SWE-bench Verified task, Grok 4.5 costs $0.62 and Qwen3.8 27B $1.26.

Which has the bigger context window, Grok 4.5 or Qwen3.8 27B?

Qwen3.8 27B, with 1M tokens against 500K.

How many benchmarks is the Grok 4.5 vs Qwen3.8 27B comparison based on?

84 benchmarks have a result for both models as of October 21, 2026. Grok 4.5's coding index rests on 2 independent benchmarks and Qwen3.8 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/grok-4-5-vs-qwen3-8-27b">LLMBenchmark.ai, Grok 4.5 vs Qwen3.8 27B</a></p>