Gemini 3.8 Flash vs Qwen3.8 Max (0902)

Qwen3.8 Max (0902) leads Gemini 3.8 Flash on coding, 62.4 to 61.6 on the Vibe Coding Index, and Gemini 3.8 Flash costs 1.6x less per output token ($3.75 vs $6.00 per million). Updated October 22, 2026; 110 benchmarks have a result for both.

Replace Gemini 3.8 Flash Replace Qwen3.8 Max (0902)

Gemini 3.8 FlashGoogle

Coding: 61.6
Overall: 69.0
Output $/M: $3.75

Qwen3.8 Max (0902)Qwen

Coding: 62.4
Overall: 68.9
Output $/M: $6.00

vs boards won of 110 shared

Gemini 3.8 Flash or Qwen3.8 Max (0902): which to pick

Gemini 3.8 Flash and Qwen3.8 Max (0902) are level for coding, 61.6 against 62.4 on the Vibe Coding Index, so price and context decide.

Pick Gemini 3.8 Flash for output tokens 1.6x cheaper ($3.75 vs $6.00 per million) and a larger context window (1.05M against 1M tokens). Pick Qwen3.8 Max (0902) for a lower cost per solved task ($1.32 against $2.74) and work measured by LMArena WebDev or SWE-bench Verified (Vals AI), where it leads.

Model AGemini 3.8 FlashGoogle61.6/1006 independent benchmarks$2.74 per solved task Model BQwen3.8 Max (0902)Qwen62.4/1005 independent benchmarks$1.32 per solved task

110183

Shared results: 110
Gemini 3.8 Flash only: 18
Qwen3.8 Max (0902) only: 3
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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Level: 61.6 against 62.4, inside 2 points.
6 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 45.4 against 40.9.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 56.0 against 40.2.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 94.4% against 93.7%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 90.2% against 88.6%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 1300 against 1275.
Same board, both measured
General
Vals Index
No call
Only Gemini 3.8 Flash has a Vals Index result, 56.0%.
Directional only
Long documents
Listed context window
Gemini 3.8 Flash
Gemini 3.8 Flash takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.8 Flash
Gemini 3.8 Flash $0.0026, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Qwen3.8 Max (0902)
Gemini 3.8 Flash $2.74, Qwen3.8 Max (0902) $1.32.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.8 Flash 61.6 from 6 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
Widest category: Agentic work, 9.4 points apart on average over 17 shared benchmarks.
Widest single gap: LiveBench browser: Gemini 3.8 Flash 64.0% against Qwen3.8 Max (0902) 32.0%, 32.0 points apart on a 0 to 100 scale.
Output price: Gemini 3.8 Flash $3.75 against Qwen3.8 Max (0902) $6.00 per million output tokens, 1.6x apart.
Context window: Gemini 3.8 Flash takes 1.05M tokens, Qwen3.8 Max (0902) 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
Category	Gemini 3.8 Flash	Qwen3.8 Max (0902)
Coding	14	8
Intelligence	1	1
Agentic work	9	8
Reasoning	14	0
Math	2	4
Knowledge	8	2
Web design	3	5
General	24	7
All shared boards	75	35

CodingLike-for-likeSix of these boards feed the Vibe Coding Index148

Coding benchmarks for Gemini 3.8 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.8 Flash	Qwen3.8 Max (0902)	Leader
LiveBench coding	82.2%	60.3%	Gemini 3.8 Flash
LMArena WebDev	1585	1674	Qwen3.8 Max (0902)
AA Coding Index	76.3	76.2	Gemini 3.8 Flash
LiveCodeBench (Vals AI)	89.5%	87.8%	Gemini 3.8 Flash
SWE-bench Verified (Vals AI)	80.0%	85.6%	Qwen3.8 Max (0902)
Terminal-Bench 4 (Vals AI)	19.7%	34.3%	Qwen3.8 Max (0902)
Vibe Code Bench (Vals AI)	78.7%	64.7%	Gemini 3.8 Flash
Code migration (Vals AI)	36.5%	24.0%	Gemini 3.8 Flash
ProgramBench (Vals AI)	1.0%	0.0%	Gemini 3.8 Flash
IOI (Vals AI)	56.9%	68.9%	Qwen3.8 Max (0902)
Terminal-Bench 2.1 (Vals AI)	81.3%	67.4%	Gemini 3.8 Flash
SWE-bench Multimodal (Vals AI)	40.8%	42.5%	Qwen3.8 Max (0902)
Vibe Code Bench 1-100 (Vals AI)	18.8%	12.8%	Gemini 3.8 Flash
SkillsBench (Vals AI)	58.0%	42.0%	Gemini 3.8 Flash
CyberBench (Vals AI)	43.8%	28.6%	Gemini 3.8 Flash
SciCode	56.6%	53.2%	Gemini 3.8 Flash
FrontierCode	41.2%	Not measured	Only Gemini 3.8 Flash measured
FrontierSWE	19.6%	17.8%	Gemini 3.8 Flash
WeirdML	84.8%	Not measured	Only Gemini 3.8 Flash measured
ALE-Bench	1269.7	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: coding	1508	1502	Gemini 3.8 Flash
LMArena Text: software and IT	1507	1498	Gemini 3.8 Flash
LMArena WebDev: React	1577	1692	Qwen3.8 Max (0902)
LMArena WebDev: HTML	1616	1649	Qwen3.8 Max (0902)
LMArena WebDev: from an image	1593	1637	Qwen3.8 Max (0902)
SciCode	12.3%	Not measured	Only Gemini 3.8 Flash measured
Neither model has a result on the other 13 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11

Intelligence benchmarks for Gemini 3.8 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.8 Flash	Qwen3.8 Max (0902)	Leader
AA Intelligence Index	40.9	45.4	Qwen3.8 Max (0902)
Epoch Capabilities Index	157.4	157.4	Gemini 3.8 Flash

Agentic workLike-for-likePublic boards, shown as published, kept out of the index98

Agentic work benchmarks for Gemini 3.8 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.8 Flash	Qwen3.8 Max (0902)	Leader
AA Agentic Index	40.2	56.0	Qwen3.8 Max (0902)
Design Arena: agents building web apps	1238	1300	Qwen3.8 Max (0902)
Design Arena: agents building full-stack apps	1244	1305	Qwen3.8 Max (0902)
Design Arena: agents building mobile apps	1236	1224	Gemini 3.8 Flash
Design Arena: agents building Android apps	1078	1196	Qwen3.8 Max (0902)
Design Arena: agents building Godot games	1273	1234	Gemini 3.8 Flash
Design Arena: PowerPoint slides	1153	1233	Qwen3.8 Max (0902)
Design Arena: spreadsheets	1022	967	Gemini 3.8 Flash
LiveBench research	79.1%	69.9%	Gemini 3.8 Flash
LiveBench browser	64.0%	32.0%	Gemini 3.8 Flash
LiveBench long agentic	30.1%	42.3%	Qwen3.8 Max (0902)
SREBench (Vals AI)	11.1%	Not measured	Only Gemini 3.8 Flash measured
Finance Agent (Vals AI)	61.4%	50.6%	Gemini 3.8 Flash
Tax Agent Bench (Vals AI)	32.1%	32.1%	Gemini 3.8 Flash
Legal Research Bench (Vals AI)	38.9%	47.6%	Qwen3.8 Max (0902)
Harvey's Legal Agent Benchmark (Vals AI)	12.1%	Not measured	Only Gemini 3.8 Flash measured
Excel Modeling Benchmark (Vals AI)	72.2%	60.1%	Gemini 3.8 Flash
BioMysteryBench (Vals AI)	62.2%	Not measured	Only Gemini 3.8 Flash measured
Terminal-Bench-Science (Vals AI)	8.6%	12.9%	Qwen3.8 Max (0902)
Vals Science Index	35.8%	Not measured	Only Gemini 3.8 Flash measured
Time Horizon Index (Vals AI)	18.8%	Not measured	Only Gemini 3.8 Flash measured
CUA-bench (Vals AI)	4.2%	Not measured	Only Gemini 3.8 Flash measured
APEX-Agents	64.3%	63.3%	Gemini 3.8 Flash
Remote Labor Index	5.8%	Not measured	Only Gemini 3.8 Flash measured
Vending-Bench 2	$5,094	Not measured	Only Gemini 3.8 Flash measured
LMArena Search	Not measured	1261	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 15 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index140

Reasoning benchmarks for Gemini 3.8 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.8 Flash	Qwen3.8 Max (0902)	Leader
GPQA Diamond	94.4%	93.7%	Gemini 3.8 Flash
LiveBench reasoning	89.3%	88.2%	Gemini 3.8 Flash
MysteryMechanism (Vals AI)	36.5%	23.9%	Gemini 3.8 Flash
MMMU Pro (Vals AI)	89.1%	88.0%	Gemini 3.8 Flash
GPQA Diamond (Artificial Analysis run)	95.3%	92.8%	Gemini 3.8 Flash
Humanity's Last Exam (Artificial Analysis run)	47.8%	43.1%	Gemini 3.8 Flash
GPQA Diamond (Epoch AI run)	95.4%	92.7%	Gemini 3.8 Flash
ARC-AGI	98.5%	Not measured	Only Gemini 3.8 Flash measured
ARC-AGI-2	89.2%	Not measured	Only Gemini 3.8 Flash measured
Chess puzzles	58.0%	46.0%	Gemini 3.8 Flash
Mystery game puzzles	47.0%	38.0%	Gemini 3.8 Flash
LMArena Text: hard prompts	1509	1496	Gemini 3.8 Flash
LMArena Text: expert	1526	1507	Gemini 3.8 Flash
LMArena Text: hard prompts in English	1504	1503	Gemini 3.8 Flash
LMArena Vision: diagrams	1345	1323	Gemini 3.8 Flash
LMArena Vision: homework	1351	1336	Gemini 3.8 Flash
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index24

Math benchmarks for Gemini 3.8 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.8 Flash	Qwen3.8 Max (0902)	Leader
OTIS Mock AIME	98.9%	100.0%	Qwen3.8 Max (0902)
FrontierMath, tiers 1 to 3	68.4%	74.7%	Qwen3.8 Max (0902)
FrontierMath, tier 4	22.0%	46.3%	Qwen3.8 Max (0902)
ProofBench	48.0%	58.0%	Qwen3.8 Max (0902)
LMArena Text: math	1532	1501	Gemini 3.8 Flash
LMArena Text: mathematical work	1519	1491	Gemini 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 index82

Knowledge benchmarks for Gemini 3.8 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.8 Flash	Qwen3.8 Max (0902)	Leader
MMLU Pro	90.2%	88.6%	Gemini 3.8 Flash
LegalBench (Vals AI)	87.0%	83.6%	Gemini 3.8 Flash
CorpFin (Vals AI)	Not measured	65.8%	Only Qwen3.8 Max (0902) measured
TaxEval (Vals AI)	74.5%	75.5%	Qwen3.8 Max (0902)
MortgageTax (Vals AI)	65.3%	64.0%	Gemini 3.8 Flash
MedCode (Vals AI)	48.1%	40.7%	Gemini 3.8 Flash
SimpleQA Verified	69.7%	47.3%	Gemini 3.8 Flash
LMArena Text: science	1523	1512	Gemini 3.8 Flash
LMArena Text: medicine and healthcare	1508	1503	Gemini 3.8 Flash
LMArena Text: legal and government	1497	1492	Gemini 3.8 Flash
LMArena Text: business and finance	1479	1480	Qwen3.8 Max (0902)
FACTS Benchmark Suite	69.4%	Not measured	Only Gemini 3.8 Flash measured
Neither model has a result on the other 6 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index35

Web design benchmarks for Gemini 3.8 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.8 Flash	Qwen3.8 Max (0902)	Leader
Design Arena: websites	1300	1275	Gemini 3.8 Flash
Design Arena: UI components	1316	1338	Qwen3.8 Max (0902)
Design Arena: game dev	1304	1312	Qwen3.8 Max (0902)
Design Arena: data viz	1270	1281	Qwen3.8 Max (0902)
Design Arena: 3D	1294	1336	Qwen3.8 Max (0902)
Design Arena: all code categories	1303	1293	Gemini 3.8 Flash
Design Arena: SVG	1296	Not measured	Only Gemini 3.8 Flash measured
Design Arena: ASCII art	1262	1200	Gemini 3.8 Flash
LiveBench design	72.7%	78.6%	Qwen3.8 Max (0902)

GeneralLike-for-likePublic boards, shown as published, kept out of the index247

General benchmarks for Gemini 3.8 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.8 Flash	Qwen3.8 Max (0902)	Leader
Vals Index	56.0%	Not measured	Only Gemini 3.8 Flash measured
LiveBench data analysis	54.0%	78.4%	Qwen3.8 Max (0902)
Public Benefits Bench (Vals AI)	65.3%	67.1%	Qwen3.8 Max (0902)
SAGE (Vals AI)	35.1%	51.2%	Qwen3.8 Max (0902)
MedScribe (Vals AI)	84.5%	85.0%	Qwen3.8 Max (0902)
Vals Multimodal Index	Not measured	65.4%	Only Qwen3.8 Max (0902) measured
Long context reasoning (AA-LCR)	84.0%	80.3%	Gemini 3.8 Flash
DTBench	95.7%	92.0%	Gemini 3.8 Flash
LMCA	52.9%	46.2%	Gemini 3.8 Flash
Surface Evolver Bench	76.9%	Not measured	Only Gemini 3.8 Flash measured
Furniture assembly	31.7%	20.0%	Gemini 3.8 Flash
LMArena Text	1499	1483	Gemini 3.8 Flash
LMArena Text: instruction following	1492	1481	Gemini 3.8 Flash
LMArena Text: creative writing	1488	1477	Gemini 3.8 Flash
LMArena Vision	1315	1313	Gemini 3.8 Flash
LMArena Text: English	1498	1491	Gemini 3.8 Flash
LMArena Text: non-English	1491	1473	Gemini 3.8 Flash
LMArena Text: Chinese	1553	1539	Gemini 3.8 Flash
LMArena Text: German	1501	1478	Gemini 3.8 Flash
LMArena Text: Japanese	1507	1473	Gemini 3.8 Flash
LMArena Text: Korean	1464	1460	Gemini 3.8 Flash
LMArena Text: French	1496	1498	Qwen3.8 Max (0902)
LMArena Text: Spanish	1487	1489	Qwen3.8 Max (0902)
LMArena Text: Russian	1514	1482	Gemini 3.8 Flash
LMArena Text: Polish	1497	1471	Gemini 3.8 Flash
LMArena Text: multi-turn	1503	1489	Gemini 3.8 Flash
LMArena Text: longer queries	1507	1488	Gemini 3.8 Flash
LMArena Text: writing and language	1494	1477	Gemini 3.8 Flash
LMArena Text: entertainment and media	1480	1464	Gemini 3.8 Flash
LMArena Vision: English	1318	1311	Gemini 3.8 Flash
LMArena Vision: Chinese	1416	1358	Gemini 3.8 Flash
LMArena Vision: reading text	1333	1322	Gemini 3.8 Flash
LMArena Vision: humor	1321	1304	Gemini 3.8 Flash
LMArena Vision: creative writing	1299	1312	Qwen3.8 Max (0902)
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 Gemini 3.8 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.8 Flash	Qwen3.8 Max (0902)	Leader
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$0.0026Fits in one request

Qwen3.8 Max (0902)$0.0050Fits in one request

Gemini 3.8 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.8 Flash$0.049Fits in one request

Qwen3.8 Max (0902)$0.118Fits in one request

Gemini 3.8 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.188Fits in one request

Qwen3.8 Max (0902)$0.460Fits in one request

Gemini 3.8 Flash 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 Max (0902)
Specification	Google Gemini 3.8 Flash	Qwen3.8 Max (0902)
Maker	Google	Qwen
Weights	No public weights listed	No public weights listed
Released	September 2, 2026	September 3, 2026
Context window	1.05M	1M
Input $/Mtok	$0.75	$2.00
Output $/Mtok	$3.75	$6.00
Coding index	61.6	62.4
Independent measurements behind it	6	5
Cost per solved task	$2.74	$1.32
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.8 Flash better than Qwen3.8 Max (0902) for coding?

Gemini 3.8 Flash and Qwen3.8 Max (0902) are level for coding, 61.6 against 62.4 on the Vibe Coding Index, so price and context decide. Pick Gemini 3.8 Flash for output tokens 1.6x cheaper ($3.75 vs $6.00 per million) and a larger context window (1.05M against 1M tokens). Pick Qwen3.8 Max (0902) for a lower cost per solved task ($1.32 against $2.74) and work measured by LMArena WebDev or SWE-bench Verified (Vals AI), where it leads.

Which is cheaper, Gemini 3.8 Flash or Qwen3.8 Max (0902)?

Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, Gemini 3.8 Flash costs $2.74 and Qwen3.8 Max (0902) $1.32.

Which has the bigger context window, Gemini 3.8 Flash or Qwen3.8 Max (0902)?

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

How many benchmarks is the Gemini 3.8 Flash vs Qwen3.8 Max (0902) comparison based on?

110 benchmarks have a result for both models as of October 22, 2026. Gemini 3.8 Flash's coding index rests on 6 independent benchmarks and Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-8-flash-vs-qwen3-8-max-0902" title="Gemini 3.8 Flash vs Qwen3.8 Max (0902), 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-max-0902">LLMBenchmark.ai, Gemini 3.8 Flash vs Qwen3.8 Max (0902)</a></p>

Gemini 3.8 Flash or Qwen3.8 Max (0902): which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

General

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next