Gemini 3.7 Flash vs Qwen3.8 Max (0902)

Updated October 21, 2026. 104 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.7 Flash Replace Qwen3.8 Max (0902)

Gemini 3.7 FlashGoogle

Coding: 69.9
Overall: 39.6
Output $/M: $3.75

Qwen3.8 Max (0902)Qwen

Coding: 63.5
Overall: 45.4
Output $/M: $6.00

vs boards won of 104 shared, 2 tied

Decision reading

Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 63.5 for Qwen3.8 Max (0902).

Pick Qwen3.8 Max (0902) when a solved task costs $1.32 against $1.78, or when what matters is LMArena WebDev or AA Coding Index, where it leads.

Model AGemini 3.7 FlashGoogle69.9/1002 independent benchmarks$1.78 per solved task Model BQwen3.8 Max (0902)Qwen63.5/1002 independent benchmarks$1.32 per solved task

10489

Shared results: 104
Gemini 3.7 Flash only: 8
Qwen3.8 Max (0902) only: 9
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.

Coding
Vibe Coding Index, four public coding benchmarks
Gemini 3.7 Flash
Gemini 3.7 Flash scores 69.9 against 63.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 45.4 against 39.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.8 Max (0902) has a AA Agentic Index result, 56.0.
Directional only
Reasoning
GPQA Diamond
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 93.9% against 93.7%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 90.1% against 88.6%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 1304 against 1275.
Same board, both measured
Long documents
Listed context window
Gemini 3.7 Flash
Gemini 3.7 Flash takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.7 Flash
Gemini 3.7 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 3.7 Flash $1.78, Qwen3.8 Max (0902) $1.32.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.7 Flash 69.9 from 2 benchmarks, Qwen3.8 Max (0902) 63.5 from 2 benchmarks.
Widest category: Agentic work, 9.9 points apart on average over 15 shared benchmarks.
Widest single gap: LiveBench browser: Gemini 3.7 Flash 56.0% against Qwen3.8 Max (0902) 32.0%, 24.0 points apart on a 0 to 100 scale.
Output price: Gemini 3.7 Flash $3.75 against Qwen3.8 Max (0902) $6.00 per million output tokens, 1.6x apart.
Context window: Gemini 3.7 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 3.7 Flash	Qwen3.8 Max (0902)	Ties
Coding	10	9	1 tie
Intelligence	1	1
Agentic work	9	6
Reasoning	8	5
Math	2	3	1 tie
Knowledge	6	4
Web design	5	3
General	21	9
All shared boards	62	40	2 ties

CodingLike-for-likeFour of these boards feed the Vibe Coding Index109

Coding benchmarks for Gemini 3.7 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.7 Flash	Qwen3.8 Max (0902)	Leader
LiveBench coding	80.5%	60.3%	Gemini 3.7 Flash
LMArena WebDev	1591	1674	Qwen3.8 Max (0902)
AA Coding Index	71.5	76.2	Qwen3.8 Max (0902)
LiveCodeBench (Vals AI)	88.7%	87.8%	Gemini 3.7 Flash
SWE-bench Verified (Vals AI)	80.8%	85.6%	Qwen3.8 Max (0902)
Terminal-Bench 4 (Vals AI)	12.1%	34.3%	Qwen3.8 Max (0902)
Vibe Code Bench (Vals AI)	70.4%	64.7%	Gemini 3.7 Flash
Code migration (Vals AI)	34.8%	24.0%	Gemini 3.7 Flash
ProgramBench (Vals AI)	0.0%	0.0%	Tie
IOI (Vals AI)	67.8%	68.9%	Qwen3.8 Max (0902)
Terminal-Bench 2.1 (Vals AI)	77.5%	67.4%	Gemini 3.7 Flash
SWE-bench Multimodal (Vals AI)	Not measured	42.5%	Only Qwen3.8 Max (0902) measured
Vibe Code Bench 1-100 (Vals AI)	Not measured	12.8%	Only Qwen3.8 Max (0902) measured
SkillsBench (Vals AI)	65.9%	42.0%	Gemini 3.7 Flash
CyberBench (Vals AI)	43.8%	28.6%	Gemini 3.7 Flash
SciCode	59.8%	53.2%	Gemini 3.7 Flash
FrontierCode	43.6%	Not measured	Only Gemini 3.7 Flash measured
FrontierSWE	20.3%	17.8%	Gemini 3.7 Flash
ALE-Bench	904.3	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: coding	1499	1502	Qwen3.8 Max (0902)
LMArena Text: software and IT	1498	1498	Gemini 3.7 Flash
LMArena WebDev: React	1587	1692	Qwen3.8 Max (0902)
LMArena WebDev: HTML	1593	1649	Qwen3.8 Max (0902)
LMArena WebDev: from an image	1599	1637	Qwen3.8 Max (0902)
Neither model has a result on the other 14 boards here

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

Intelligence benchmarks for Gemini 3.7 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.7 Flash	Qwen3.8 Max (0902)	Leader
AA Intelligence Index	39.6	45.4	Qwen3.8 Max (0902)
Epoch Capabilities Index	158.0	157.4	Gemini 3.7 Flash

Agentic workLike-for-likePublic boards, shown as published, kept out of the index96

Agentic work benchmarks for Gemini 3.7 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.7 Flash	Qwen3.8 Max (0902)	Leader
AA Agentic Index	Not measured	56.0	Only Qwen3.8 Max (0902) measured
Design Arena: agents building web apps	1224	1301	Qwen3.8 Max (0902)
Design Arena: agents building full-stack apps	1208	1305	Qwen3.8 Max (0902)
Design Arena: agents building mobile apps	1230	1223	Gemini 3.7 Flash
Design Arena: agents building Android apps	1247	1207	Gemini 3.7 Flash
Design Arena: agents building Godot games	1264	1234	Gemini 3.7 Flash
Design Arena: agents building games	1235	Not measured	Only Gemini 3.7 Flash measured
Design Arena: PowerPoint slides	Not measured	1257	Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheets	1028	868	Gemini 3.7 Flash
LiveBench research	76.5%	69.9%	Gemini 3.7 Flash
LiveBench browser	56.0%	32.0%	Gemini 3.7 Flash
LiveBench long agentic	28.3%	42.3%	Qwen3.8 Max (0902)
SREBench (Vals AI)	4.6%	Not measured	Only Gemini 3.7 Flash measured
Finance Agent (Vals AI)	59.0%	50.6%	Gemini 3.7 Flash
Tax Agent Bench (Vals AI)	22.8%	32.1%	Qwen3.8 Max (0902)
Legal Research Bench (Vals AI)	34.6%	47.6%	Qwen3.8 Max (0902)
Excel Modeling Benchmark (Vals AI)	71.3%	60.1%	Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)	7.1%	12.9%	Qwen3.8 Max (0902)
APEX-Agents	67.8%	63.3%	Gemini 3.7 Flash
Remote Labor Index	5.0%	Not measured	Only Gemini 3.7 Flash measured
LMArena Search	Not measured	1261	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 18 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index85

Reasoning benchmarks for Gemini 3.7 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.7 Flash	Qwen3.8 Max (0902)	Leader
GPQA Diamond	93.9%	93.7%	Gemini 3.7 Flash
LiveBench reasoning	87.8%	88.2%	Qwen3.8 Max (0902)
MysteryMechanism (Vals AI)	Not measured	23.9%	Only Qwen3.8 Max (0902) measured
MMMU Pro (Vals AI)	89.0%	88.0%	Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)	94.5%	92.8%	Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)	47.9%	43.1%	Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)	94.8%	92.7%	Gemini 3.7 Flash
ARC-AGI	95.5%	Not measured	Only Gemini 3.7 Flash measured
ARC-AGI-2	84.6%	Not measured	Only Gemini 3.7 Flash measured
Chess puzzles	66.0%	46.0%	Gemini 3.7 Flash
Mystery game puzzles	37.0%	38.0%	Qwen3.8 Max (0902)
LMArena Text: hard prompts	1495	1496	Qwen3.8 Max (0902)
LMArena Text: expert	1512	1507	Gemini 3.7 Flash
LMArena Text: hard prompts in English	1487	1503	Qwen3.8 Max (0902)
LMArena Vision: diagrams	1329	1323	Gemini 3.7 Flash
LMArena Vision: homework	1320	1336	Qwen3.8 Max (0902)
Neither model has a result on the other 5 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index23

Math benchmarks for Gemini 3.7 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.7 Flash	Qwen3.8 Max (0902)	Leader
OTIS Mock AIME	97.2%	100.0%	Qwen3.8 Max (0902)
FrontierMath, tiers 1 to 3	71.6%	74.7%	Qwen3.8 Max (0902)
FrontierMath, tier 4	36.6%	46.3%	Qwen3.8 Max (0902)
ProofBench	58.0%	58.0%	Tie
LMArena Text: math	1511	1501	Gemini 3.7 Flash
LMArena Text: mathematical work	1502	1491	Gemini 3.7 Flash
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index64

Knowledge benchmarks for Gemini 3.7 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.7 Flash	Qwen3.8 Max (0902)	Leader
MMLU Pro	90.1%	88.6%	Gemini 3.7 Flash
LegalBench (Vals AI)	87.3%	83.6%	Gemini 3.7 Flash
CorpFin (Vals AI)	Not measured	65.8%	Only Qwen3.8 Max (0902) measured
TaxEval (Vals AI)	74.7%	75.5%	Qwen3.8 Max (0902)
MortgageTax (Vals AI)	66.7%	64.0%	Gemini 3.7 Flash
MedCode (Vals AI)	53.4%	40.7%	Gemini 3.7 Flash
SimpleQA Verified	69.2%	47.3%	Gemini 3.7 Flash
LMArena Text: science	1511	1512	Qwen3.8 Max (0902)
LMArena Text: medicine and healthcare	1494	1503	Qwen3.8 Max (0902)
LMArena Text: legal and government	1496	1492	Gemini 3.7 Flash
LMArena Text: business and finance	1479	1480	Qwen3.8 Max (0902)
Neither model has a result on the other 6 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index53

Web design benchmarks for Gemini 3.7 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.7 Flash	Qwen3.8 Max (0902)	Leader
Design Arena: websites	1304	1275	Gemini 3.7 Flash
Design Arena: UI components	1299	1340	Qwen3.8 Max (0902)
Design Arena: game dev	1318	1313	Gemini 3.7 Flash
Design Arena: data viz	1315	1281	Gemini 3.7 Flash
Design Arena: 3D	1308	1337	Qwen3.8 Max (0902)
Design Arena: all code categories	1308	1293	Gemini 3.7 Flash
Design Arena: SVG	1283	Not measured	Only Gemini 3.7 Flash measured
Design Arena: ASCII art	1276	1201	Gemini 3.7 Flash
LiveBench design	73.2%	78.6%	Qwen3.8 Max (0902)

GeneralLike-for-likePublic boards, shown as published, kept out of the index219

General benchmarks for Gemini 3.7 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.7 Flash	Qwen3.8 Max (0902)	Leader
LiveBench data analysis	68.0%	78.4%	Qwen3.8 Max (0902)
Public Benefits Bench (Vals AI)	Not measured	67.1%	Only Qwen3.8 Max (0902) measured
SAGE (Vals AI)	49.2%	51.2%	Qwen3.8 Max (0902)
MedScribe (Vals AI)	83.9%	85.0%	Qwen3.8 Max (0902)
Vals Multimodal Index	Not measured	65.4%	Only Qwen3.8 Max (0902) measured
Long context reasoning (AA-LCR)	83.0%	80.3%	Gemini 3.7 Flash
DTBench	96.8%	92.0%	Gemini 3.7 Flash
LMCA	50.4%	46.2%	Gemini 3.7 Flash
Furniture assembly	26.7%	20.0%	Gemini 3.7 Flash
LMArena Text	1489	1483	Gemini 3.7 Flash
LMArena Text: instruction following	1484	1481	Gemini 3.7 Flash
LMArena Text: creative writing	1488	1477	Gemini 3.7 Flash
LMArena Vision	1314	1313	Gemini 3.7 Flash
LMArena Text: English	1483	1491	Qwen3.8 Max (0902)
LMArena Text: non-English	1487	1473	Gemini 3.7 Flash
LMArena Text: Chinese	1552	1539	Gemini 3.7 Flash
LMArena Text: German	1506	1478	Gemini 3.7 Flash
LMArena Text: Japanese	1511	1473	Gemini 3.7 Flash
LMArena Text: Korean	1481	1460	Gemini 3.7 Flash
LMArena Text: French	1500	1498	Gemini 3.7 Flash
LMArena Text: Spanish	1495	1489	Gemini 3.7 Flash
LMArena Text: Russian	1515	1482	Gemini 3.7 Flash
LMArena Text: Polish	1503	1471	Gemini 3.7 Flash
LMArena Text: multi-turn	1485	1489	Qwen3.8 Max (0902)
LMArena Text: longer queries	1492	1488	Gemini 3.7 Flash
LMArena Text: writing and language	1491	1477	Gemini 3.7 Flash
LMArena Text: entertainment and media	1477	1464	Gemini 3.7 Flash
LMArena Vision: English	1309	1311	Qwen3.8 Max (0902)
LMArena Vision: Chinese	1394	1358	Gemini 3.7 Flash
LMArena Vision: reading text	1322	1322	Qwen3.8 Max (0902)
LMArena Vision: humor	1299	1304	Qwen3.8 Max (0902)
LMArena Vision: creative writing	1312	1312	Qwen3.8 Max (0902)
Neither model has a result on the other 14 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Gemini 3.7 Flash and Qwen3.8 Max (0902)
Benchmark	Gemini 3.7 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 3.7 Flash$0.0026Fits in one request

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

Gemini 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request

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

Gemini 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request

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

Gemini 3.7 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 3.7 Flash and Qwen3.8 Max (0902)
Specification	Google Gemini 3.7 Flash	Qwen3.8 Max (0902)
Maker	Google	Qwen
Weights	No public weights listed	No public weights listed
Released	August 13, 2026	September 3, 2026
Context window	1.05M	1M
Input $/Mtok	$0.75	$2.00
Output $/Mtok	$3.75	$6.00
Coding index	69.9	63.5
Independent measurements behind it	2	2
Cost per solved task	$1.78	$1.32
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.7 Flash better than Qwen3.8 Max (0902) for coding?

Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 63.5 for Qwen3.8 Max (0902). Pick Qwen3.8 Max (0902) when a solved task costs $1.32 against $1.78, or when what matters is LMArena WebDev or AA Coding Index, where it leads.

Which is cheaper, Gemini 3.7 Flash or Qwen3.8 Max (0902)?

Gemini 3.7 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 3.7 Flash costs $1.78 and Qwen3.8 Max (0902) $1.32.

Which has the bigger context window, Gemini 3.7 Flash or Qwen3.8 Max (0902)?

Gemini 3.7 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 3.7 Flash vs Qwen3.8 Max (0902) comparison based on?

104 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash's coding index rests on 2 independent benchmarks and Qwen3.8 Max (0902)'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-3-7-flash-vs-qwen3-8-max-0902" title="Gemini 3.7 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-3-7-flash-vs-qwen3-8-max-0902">LLMBenchmark.ai, Gemini 3.7 Flash vs Qwen3.8 Max (0902)</a></p>

Decision reading

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

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