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Gemini 3.8 Flash vs Qwen3.8 27B

Updated October 21, 2026. 85 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.8 Flash Replace Qwen3.8 27B
Gemini 3.8 FlashGoogle
Coding
70.5
Overall
40.9
Output $/M
$4.125
76
Qwen3.8 27BQwen
Coding
73.6
Overall
33.7
Output $/M
$1.35
9
vs boards won of 85 shared

Decision reading

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 70.5 for Gemini 3.8 Flash.

Pick Gemini 3.8 Flash when the context window is larger, 1.05M against 1M tokens, or when what matters is AA Coding Index or LiveCodeBench (Vals AI), where it leads.

Model AGemini 3.8 FlashGoogle70.5/1002 independent benchmarks$2.74 per solved taskModel BQwen3.8 27BQwen73.6/1002 independent benchmarks$1.26 per solved task
Shared results
85
Gemini 3.8 Flash only
41
Qwen3.8 27B only
0
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
Gemini 3.8 Flash 70.5 from 2 benchmarks, Qwen3.8 27B 73.6 from 2 benchmarks.
Widest category
Math, 18.4 points apart on average over 3 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 3.8 Flash 89.2% against Qwen3.8 27B 42.4%, 46.8 points apart on a 0 to 100 scale.
Output price
Gemini 3.8 Flash $4.125 against Qwen3.8 27B $1.35 per million output tokens, 3.1x apart.
Context window
Gemini 3.8 Flash takes 1.05M 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
CategoryGemini 3.8 FlashBarsQwen3.8 27BTies
Coding135
Intelligence20
Agentic work91
Reasoning120
Math30
Knowledge90
Web design01
General282
All shared boards769
CodingLike-for-likeFour of these boards feed the Vibe Coding Index135
Coding benchmarks for Gemini 3.8 Flash and Qwen3.8 27B
BenchmarkGemini 3.8 FlashQwen3.8 27BLeader
LiveBench coding82.2%86.8%Qwen3.8 27B
LMArena WebDev15851593Qwen3.8 27B
AA Coding Index76.368.1Gemini 3.8 Flash
LiveCodeBench (Vals AI)89.5%84.0%Gemini 3.8 Flash
SWE-bench Verified (Vals AI)80.0%86.0%Qwen3.8 27B
Terminal-Bench 4 (Vals AI)19.7%Not measuredOnly Gemini 3.8 Flash measured
Vibe Code Bench (Vals AI)78.7%64.8%Gemini 3.8 Flash
Code migration (Vals AI)36.5%14.2%Gemini 3.8 Flash
ProgramBench (Vals AI)1.0%0.0%Gemini 3.8 Flash
IOI (Vals AI)56.9%39.1%Gemini 3.8 Flash
Terminal-Bench 2.1 (Vals AI)81.3%58.4%Gemini 3.8 Flash
SWE-bench Multimodal (Vals AI)40.8%Not measuredOnly Gemini 3.8 Flash measured
Vibe Code Bench 1-100 (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
SkillsBench (Vals AI)58.0%38.1%Gemini 3.8 Flash
CyberBench (Vals AI)43.8%67.8%Qwen3.8 27B
SciCode56.6%46.6%Gemini 3.8 Flash
FrontierCode41.2%Not measuredOnly Gemini 3.8 Flash measured
FrontierSWE19.6%Not measuredOnly Gemini 3.8 Flash measured
WeirdML84.8%Not measuredOnly Gemini 3.8 Flash measured
ALE-Bench1269.7Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: coding15081483Gemini 3.8 Flash
LMArena Text: software and IT15071478Gemini 3.8 Flash
LMArena WebDev: React15771602Qwen3.8 27B
LMArena WebDev: HTML16161570Gemini 3.8 Flash
LMArena WebDev: from an image15931577Gemini 3.8 Flash
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.8 Flash and Qwen3.8 27B
BenchmarkGemini 3.8 FlashQwen3.8 27BLeader
AA Intelligence Index40.933.7Gemini 3.8 Flash
Epoch Capabilities Index157.4151.7Gemini 3.8 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index91
Agentic work benchmarks for Gemini 3.8 Flash and Qwen3.8 27B
BenchmarkGemini 3.8 FlashQwen3.8 27BLeader
AA Agentic Index40.245.8Qwen3.8 27B
Design Arena: agents building web apps1238Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building full-stack apps1244Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building mobile apps1236Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Android apps1078Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Godot games1273Not measuredOnly Gemini 3.8 Flash measured
Design Arena: PowerPoint slides1178Not measuredOnly Gemini 3.8 Flash measured
Design Arena: spreadsheets1052Not measuredOnly Gemini 3.8 Flash measured
LiveBench research79.1%59.4%Gemini 3.8 Flash
LiveBench browser64.0%32.0%Gemini 3.8 Flash
LiveBench long agentic30.1%27.9%Gemini 3.8 Flash
SREBench (Vals AI)11.1%Not measuredOnly Gemini 3.8 Flash measured
Finance Agent (Vals AI)61.4%48.5%Gemini 3.8 Flash
Tax Agent Bench (Vals AI)32.1%30.9%Gemini 3.8 Flash
Legal Research Bench (Vals AI)38.9%36.1%Gemini 3.8 Flash
Harvey's Legal Agent Benchmark (Vals AI)12.1%Not measuredOnly Gemini 3.8 Flash measured
Excel Modeling Benchmark (Vals AI)72.2%59.7%Gemini 3.8 Flash
BioMysteryBench (Vals AI)62.2%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench-Science (Vals AI)8.6%0.0%Gemini 3.8 Flash
Vals Science Index35.8%Not measuredOnly Gemini 3.8 Flash measured
Time Horizon Index (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
CUA-bench (Vals AI)4.2%Not measuredOnly Gemini 3.8 Flash measured
APEX-Agents64.3%47.5%Gemini 3.8 Flash
Remote Labor Index5.8%Not measuredOnly Gemini 3.8 Flash measured
Vending-Bench 2$5,094Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for Gemini 3.8 Flash and Qwen3.8 27B
BenchmarkGemini 3.8 FlashQwen3.8 27BLeader
GPQA Diamond94.4%88.9%Gemini 3.8 Flash
LiveBench reasoning89.3%80.0%Gemini 3.8 Flash
MysteryMechanism (Vals AI)36.5%Not measuredOnly Gemini 3.8 Flash measured
MMMU Pro (Vals AI)89.1%83.9%Gemini 3.8 Flash
GPQA Diamond (Artificial Analysis run)95.3%90.5%Gemini 3.8 Flash
Humanity's Last Exam (Artificial Analysis run)47.8%33.9%Gemini 3.8 Flash
GPQA Diamond (Epoch AI run)95.4%Not measuredOnly Gemini 3.8 Flash measured
ARC-AGI98.5%87.5%Gemini 3.8 Flash
ARC-AGI-289.2%42.4%Gemini 3.8 Flash
Chess puzzles58.0%Not measuredOnly Gemini 3.8 Flash measured
Mystery game puzzles47.0%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: hard prompts15091459Gemini 3.8 Flash
LMArena Text: expert15261479Gemini 3.8 Flash
LMArena Text: hard prompts in English15041461Gemini 3.8 Flash
LMArena Vision: diagrams13451285Gemini 3.8 Flash
LMArena Vision: homework13511295Gemini 3.8 Flash
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 3.8 Flash and Qwen3.8 27B
BenchmarkGemini 3.8 FlashQwen3.8 27BLeader
OTIS Mock AIME98.9%Not measuredOnly Gemini 3.8 Flash measured
FrontierMath, tiers 1 to 368.4%Not measuredOnly Gemini 3.8 Flash measured
FrontierMath, tier 422.0%Not measuredOnly Gemini 3.8 Flash measured
ProofBench48.0%16.0%Gemini 3.8 Flash
LMArena Text: math15321455Gemini 3.8 Flash
LMArena Text: mathematical work15191458Gemini 3.8 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Gemini 3.8 Flash and Qwen3.8 27B
BenchmarkGemini 3.8 FlashQwen3.8 27BLeader
MMLU Pro90.2%84.3%Gemini 3.8 Flash
LegalBench (Vals AI)87.0%82.4%Gemini 3.8 Flash
TaxEval (Vals AI)74.5%70.8%Gemini 3.8 Flash
MortgageTax (Vals AI)65.3%64.9%Gemini 3.8 Flash
MedCode (Vals AI)48.1%28.7%Gemini 3.8 Flash
SimpleQA Verified69.7%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: science15231467Gemini 3.8 Flash
LMArena Text: medicine and healthcare15081437Gemini 3.8 Flash
LMArena Text: legal and government14971447Gemini 3.8 Flash
LMArena Text: business and finance14791438Gemini 3.8 Flash
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Gemini 3.8 Flash and Qwen3.8 27B
BenchmarkGemini 3.8 FlashQwen3.8 27BLeader
Design Arena: websites1301Not measuredOnly Gemini 3.8 Flash measured
Design Arena: UI components1318Not measuredOnly Gemini 3.8 Flash measured
Design Arena: game dev1305Not measuredOnly Gemini 3.8 Flash measured
Design Arena: data viz1269Not measuredOnly Gemini 3.8 Flash measured
Design Arena: 3D1295Not measuredOnly Gemini 3.8 Flash measured
Design Arena: all code categories1304Not measuredOnly Gemini 3.8 Flash measured
Design Arena: SVG1295Not measuredOnly Gemini 3.8 Flash measured
Design Arena: ASCII art1264Not measuredOnly Gemini 3.8 Flash measured
LiveBench design72.7%75.9%Qwen3.8 27B
GeneralLike-for-likePublic boards, shown as published, kept out of the index282
General benchmarks for Gemini 3.8 Flash and Qwen3.8 27B
BenchmarkGemini 3.8 FlashQwen3.8 27BLeader
Vals Index56.0%Not measuredOnly Gemini 3.8 Flash measured
LiveBench data analysis54.0%76.6%Qwen3.8 27B
Public Benefits Bench (Vals AI)65.3%Not measuredOnly Gemini 3.8 Flash measured
SAGE (Vals AI)35.1%52.4%Qwen3.8 27B
MedScribe (Vals AI)84.5%83.8%Gemini 3.8 Flash
Long context reasoning (AA-LCR)84.0%82.0%Gemini 3.8 Flash
DTBench95.7%88.0%Gemini 3.8 Flash
LMCA52.9%41.4%Gemini 3.8 Flash
Surface Evolver Bench76.9%45.0%Gemini 3.8 Flash
Furniture assembly31.7%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text14991440Gemini 3.8 Flash
LMArena Text: instruction following14921436Gemini 3.8 Flash
LMArena Text: creative writing14881383Gemini 3.8 Flash
LMArena Vision13151269Gemini 3.8 Flash
LMArena Text: English14981448Gemini 3.8 Flash
LMArena Text: non-English14911428Gemini 3.8 Flash
LMArena Text: Chinese15531501Gemini 3.8 Flash
LMArena Text: German15011443Gemini 3.8 Flash
LMArena Text: Japanese15071387Gemini 3.8 Flash
LMArena Text: Korean14641384Gemini 3.8 Flash
LMArena Text: French14961465Gemini 3.8 Flash
LMArena Text: Spanish14871449Gemini 3.8 Flash
LMArena Text: Russian15141415Gemini 3.8 Flash
LMArena Text: Polish14971439Gemini 3.8 Flash
LMArena Text: multi-turn15031440Gemini 3.8 Flash
LMArena Text: longer queries15071448Gemini 3.8 Flash
LMArena Text: writing and language14941405Gemini 3.8 Flash
LMArena Text: entertainment and media14801393Gemini 3.8 Flash
LMArena Vision: English13181267Gemini 3.8 Flash
LMArena Vision: Chinese14161326Gemini 3.8 Flash
LMArena Vision: reading text13331281Gemini 3.8 Flash
LMArena Vision: humor13211235Gemini 3.8 Flash
LMArena Vision: creative writing12991237Gemini 3.8 Flash
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 Gemini 3.8 Flash and Qwen3.8 27B
BenchmarkGemini 3.8 FlashQwen3.8 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

Gemini 3.8 Flash$0.0029Fits in one request
Qwen3.8 27B$0.0007Fits in one request

Qwen3.8 27B costs less

Repository review

50K input + 3K output tokens

Gemini 3.8 Flash$0.054Fits in one request
Qwen3.8 27B$0.0060Fits in one request

Qwen3.8 27B costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.206Fits 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 Gemini 3.8 Flash and Qwen3.8 27B
SpecificationGoogle Gemini 3.8 FlashQwen3.8 27B
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026August 14, 2026
Context window1.05M1M
Input $/Mtok$0.825$0.04
Output $/Mtok$4.125$1.35
Coding index70.573.6
Independent measurements behind it22
Cost per solved task$2.74$1.26
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.8 Flash better than Qwen3.8 27B for coding?

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 70.5 for Gemini 3.8 Flash. Pick Gemini 3.8 Flash when the context window is larger, 1.05M against 1M tokens, or when what matters is AA Coding Index or LiveCodeBench (Vals AI), where it leads.

Which is cheaper, Gemini 3.8 Flash or Qwen3.8 27B?

Gemini 3.8 Flash costs $0.825 per million input tokens and $4.125 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Per solved SWE-bench Verified task, Gemini 3.8 Flash costs $2.74 and Qwen3.8 27B $1.26.

Which has the bigger context window, Gemini 3.8 Flash or Qwen3.8 27B?

Gemini 3.8 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 3.8 Flash vs Qwen3.8 27B comparison based on?

85 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash'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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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-8-flash-vs-qwen3-8-27b" title="Gemini 3.8 Flash vs Qwen3.8 27B, 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/gemini-3-8-flash-vs-qwen3-8-27b">LLMBenchmark.ai, Gemini 3.8 Flash vs Qwen3.8 27B</a></p>