Gemini 3.8 Flash vs Qwen3.7 Max

Updated October 21, 2026. 51 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 Qwen3.7 Max

Gemini 3.8 FlashGoogle

Coding: 70.5
Overall: 40.9
Output $/M: $4.125

Qwen3.7 MaxQwen

Coding: 45.1
Overall: 29.5
Output $/M: $4.425

vs boards won of 51 shared

Decision reading

Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 45.1 for Qwen3.7 Max.

Pick Qwen3.7 Max when what matters is Design Arena: agents building Android apps or Design Arena: PowerPoint slides, where it leads.

Model AGemini 3.8 FlashGoogle70.5/1002 independent benchmarks$2.74 per solved task Model BQwen3.7 MaxQwen45.1/1001 independent benchmark$4.69 per solved task

51758

Shared results: 51
Gemini 3.8 Flash only: 75
Qwen3.7 Max only: 8
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 3.8 Flash
Gemini 3.8 Flash scores 70.5 against 45.1.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 40.9 against 29.5.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 40.2 against 22.5.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 94.4% against 90.2%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 90.2% against 89.3%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 1301 against 1274.
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 $0.0029, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.8 Flash
Gemini 3.8 Flash $2.74, Qwen3.7 Max $4.69.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.8 Flash 70.5 from 2 benchmarks, Qwen3.7 Max 45.1 from 1 benchmark.
Widest category: Coding, 13.1 points apart on average over 11 shared benchmarks.
Widest single gap: Chess puzzles: Gemini 3.8 Flash 58.0% against Qwen3.7 Max 26.0%, 32.0 points apart on a 0 to 100 scale.
Output price: Gemini 3.8 Flash $4.125 against Qwen3.7 Max $4.425 per million output tokens, 1.1x apart.
Context window: Gemini 3.8 Flash takes 1.05M tokens, Qwen3.7 Max 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	Qwen3.7 Max
Coding	11	0
Intelligence	2	0
Agentic work	9	2
Reasoning	6	0
Math	3	1
Knowledge	4	1
Web design	7	1
General	4	0
All shared boards	46	5

CodingLike-for-likeFour of these boards feed the Vibe Coding Index110

Coding benchmarks for Gemini 3.8 Flash and Qwen3.7 Max
Benchmark	Gemini 3.8 Flash	Qwen3.7 Max	Leader
LiveBench coding	82.2%	Not measured	Only Gemini 3.8 Flash measured
LMArena WebDev	1585	1515	Gemini 3.8 Flash
AA Coding Index	76.3	66.0	Gemini 3.8 Flash
LiveCodeBench (Vals AI)	89.5%	87.1%	Gemini 3.8 Flash
SWE-bench Verified (Vals AI)	80.0%	68.8%	Gemini 3.8 Flash
Terminal-Bench 4 (Vals AI)	19.7%	Not measured	Only Gemini 3.8 Flash measured
Vibe Code Bench (Vals AI)	78.7%	47.7%	Gemini 3.8 Flash
Code migration (Vals AI)	36.5%	13.1%	Gemini 3.8 Flash
ProgramBench (Vals AI)	1.0%	Not measured	Only Gemini 3.8 Flash measured
IOI (Vals AI)	56.9%	Not measured	Only Gemini 3.8 Flash measured
Terminal-Bench 2.1 (Vals AI)	81.3%	61.0%	Gemini 3.8 Flash
SWE-bench Multimodal (Vals AI)	40.8%	Not measured	Only Gemini 3.8 Flash measured
Vibe Code Bench 1-100 (Vals AI)	18.8%	Not measured	Only Gemini 3.8 Flash measured
SkillsBench (Vals AI)	58.0%	Not measured	Only Gemini 3.8 Flash measured
CyberBench (Vals AI)	43.8%	Not measured	Only Gemini 3.8 Flash measured
SciCode	56.6%	49.5%	Gemini 3.8 Flash
Terminal-Bench Hard (Artificial Analysis run)	Not measured	50.8%	Only Qwen3.7 Max measured
FrontierCode	41.2%	Not measured	Only Gemini 3.8 Flash measured
FrontierSWE	19.6%	Not measured	Only Gemini 3.8 Flash measured
WeirdML	84.8%	Not measured	Only Gemini 3.8 Flash measured
ALE-Bench	1269.7	1189.4	Gemini 3.8 Flash
LMArena Text: coding	1508	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: software and IT	1507	Not measured	Only Gemini 3.8 Flash measured
LMArena WebDev: React	1577	1514	Gemini 3.8 Flash
LMArena WebDev: HTML	1616	1512	Gemini 3.8 Flash
LMArena WebDev: from an image	1593	Not measured	Only Gemini 3.8 Flash measured
Neither model has a result on the other 12 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20

Intelligence benchmarks for Gemini 3.8 Flash and Qwen3.7 Max
Benchmark	Gemini 3.8 Flash	Qwen3.7 Max	Leader
AA Intelligence Index	40.9	29.5	Gemini 3.8 Flash
Epoch Capabilities Index	157.4	154.0	Gemini 3.8 Flash

Agentic workLike-for-likePublic boards, shown as published, kept out of the index92

Agentic work benchmarks for Gemini 3.8 Flash and Qwen3.7 Max
Benchmark	Gemini 3.8 Flash	Qwen3.7 Max	Leader
AA Agentic Index	40.2	22.5	Gemini 3.8 Flash
Design Arena: agents building web apps	1238	1208	Gemini 3.8 Flash
Design Arena: agents building full-stack apps	1244	1191	Gemini 3.8 Flash
Design Arena: agents building mobile apps	1236	1153	Gemini 3.8 Flash
Design Arena: agents building Android apps	1078	1165	Qwen3.7 Max
Design Arena: agents building Godot games	1273	1187	Gemini 3.8 Flash
Design Arena: agents building games	Not measured	1161	Only Qwen3.7 Max measured
Design Arena: HTML slides	Not measured	1158	Only Qwen3.7 Max measured
Design Arena: PowerPoint slides	1178	1196	Qwen3.7 Max
Design Arena: spreadsheets	1052	Not measured	Only Gemini 3.8 Flash measured
LiveBench research	79.1%	Not measured	Only Gemini 3.8 Flash measured
LiveBench browser	64.0%	Not measured	Only Gemini 3.8 Flash measured
LiveBench long agentic	30.1%	Not measured	Only Gemini 3.8 Flash measured
SREBench (Vals AI)	11.1%	Not measured	Only Gemini 3.8 Flash measured
Finance Agent (Vals AI)	61.4%	47.8%	Gemini 3.8 Flash
Tax Agent Bench (Vals AI)	32.1%	15.8%	Gemini 3.8 Flash
Legal Research Bench (Vals AI)	38.9%	25.5%	Gemini 3.8 Flash
Harvey's Legal Agent Benchmark (Vals AI)	12.1%	Not measured	Only Gemini 3.8 Flash measured
Excel Modeling Benchmark (Vals AI)	72.2%	57.0%	Gemini 3.8 Flash
BioMysteryBench (Vals AI)	62.2%	Not measured	Only Gemini 3.8 Flash measured
Terminal-Bench-Science (Vals AI)	8.6%	Not measured	Only Gemini 3.8 Flash measured
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
τ²-Bench Telecom	Not measured	94.7%	Only Qwen3.7 Max measured
APEX-Agents	64.3%	Not measured	Only Gemini 3.8 Flash measured
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
Neither model has a result on the other 11 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index60

Reasoning benchmarks for Gemini 3.8 Flash and Qwen3.7 Max
Benchmark	Gemini 3.8 Flash	Qwen3.7 Max	Leader
GPQA Diamond	94.4%	90.2%	Gemini 3.8 Flash
LiveBench reasoning	89.3%	Not measured	Only Gemini 3.8 Flash measured
MysteryMechanism (Vals AI)	36.5%	Not measured	Only Gemini 3.8 Flash measured
MMMU Pro (Vals AI)	89.1%	Not measured	Only Gemini 3.8 Flash measured
GPQA Diamond (Artificial Analysis run)	95.3%	92.3%	Gemini 3.8 Flash
Humanity's Last Exam (Artificial Analysis run)	47.8%	40.5%	Gemini 3.8 Flash
GPQA Diamond (Epoch AI run)	95.4%	90.9%	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
SimpleBench	Not measured	70.4%	Only Qwen3.7 Max measured
Chess puzzles	58.0%	26.0%	Gemini 3.8 Flash
Mystery game puzzles	47.0%	32.0%	Gemini 3.8 Flash
EBR-bench	Not measured	9.5%	Only Qwen3.7 Max measured
LMArena Text: hard prompts	1509	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: expert	1526	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: hard prompts in English	1504	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: diagrams	1345	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: homework	1351	Not measured	Only Gemini 3.8 Flash measured
Neither model has a result on the other 3 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index31

Math benchmarks for Gemini 3.8 Flash and Qwen3.7 Max
Benchmark	Gemini 3.8 Flash	Qwen3.7 Max	Leader
OTIS Mock AIME	98.9%	95.6%	Gemini 3.8 Flash
FrontierMath, tiers 1 to 3	68.4%	64.6%	Gemini 3.8 Flash
FrontierMath, tier 4	22.0%	34.1%	Qwen3.7 Max
ProofBench	48.0%	26.0%	Gemini 3.8 Flash
LMArena Text: math	1532	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: mathematical work	1519	Not measured	Only Gemini 3.8 Flash measured
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41

Knowledge benchmarks for Gemini 3.8 Flash and Qwen3.7 Max
Benchmark	Gemini 3.8 Flash	Qwen3.7 Max	Leader
MMLU Pro	90.2%	89.3%	Gemini 3.8 Flash
LegalBench (Vals AI)	87.0%	84.9%	Gemini 3.8 Flash
CorpFin (Vals AI)	Not measured	63.7%	Only Qwen3.7 Max measured
TaxEval (Vals AI)	74.5%	75.3%	Qwen3.7 Max
MortgageTax (Vals AI)	65.3%	Not measured	Only Gemini 3.8 Flash measured
MedCode (Vals AI)	48.1%	38.8%	Gemini 3.8 Flash
SimpleQA Verified	69.7%	55.8%	Gemini 3.8 Flash
LMArena Text: science	1523	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: medicine and healthcare	1508	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: legal and government	1497	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: business and finance	1479	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 index71

Web design benchmarks for Gemini 3.8 Flash and Qwen3.7 Max
Benchmark	Gemini 3.8 Flash	Qwen3.7 Max	Leader
Design Arena: websites	1301	1274	Gemini 3.8 Flash
Design Arena: UI components	1318	1269	Gemini 3.8 Flash
Design Arena: game dev	1305	1265	Gemini 3.8 Flash
Design Arena: data viz	1269	1275	Qwen3.7 Max
Design Arena: 3D	1295	1266	Gemini 3.8 Flash
Design Arena: all code categories	1304	1275	Gemini 3.8 Flash
Design Arena: SVG	1295	1216	Gemini 3.8 Flash
Design Arena: ASCII art	1264	1211	Gemini 3.8 Flash
LiveBench design	72.7%	Not measured	Only Gemini 3.8 Flash measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index40

General benchmarks for Gemini 3.8 Flash and Qwen3.7 Max
Benchmark	Gemini 3.8 Flash	Qwen3.7 Max	Leader
Vals Index	56.0%	Not measured	Only Gemini 3.8 Flash measured
LiveBench data analysis	54.0%	Not measured	Only Gemini 3.8 Flash measured
Public Benefits Bench (Vals AI)	65.3%	Not measured	Only Gemini 3.8 Flash measured
SAGE (Vals AI)	35.1%	Not measured	Only Gemini 3.8 Flash measured
MedScribe (Vals AI)	84.5%	79.4%	Gemini 3.8 Flash
IFBench	Not measured	80.5%	Only Qwen3.7 Max measured
Long context reasoning (AA-LCR)	84.0%	79.0%	Gemini 3.8 Flash
DTBench	95.7%	92.3%	Gemini 3.8 Flash
LMCA	52.9%	44.0%	Gemini 3.8 Flash
Surface Evolver Bench	76.9%	Not measured	Only Gemini 3.8 Flash measured
Furniture assembly	31.7%	Not measured	Only Gemini 3.8 Flash measured
LMArena Text	1499	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: instruction following	1492	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: creative writing	1488	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision	1315	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: English	1498	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: non-English	1491	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Chinese	1553	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: German	1501	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Japanese	1507	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Korean	1464	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: French	1496	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Spanish	1487	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Russian	1514	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Polish	1497	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: multi-turn	1503	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: longer queries	1507	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: writing and language	1494	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: entertainment and media	1480	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: English	1318	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: Chinese	1416	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: reading text	1333	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: humor	1321	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: creative writing	1299	Not measured	Only Gemini 3.8 Flash measured
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 Qwen3.7 Max
Benchmark	Gemini 3.8 Flash	Qwen3.7 Max	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$0.0029Fits in one request

Qwen3.7 Max$0.0037Fits in one request

Gemini 3.8 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.8 Flash$0.054Fits in one request

Qwen3.7 Max$0.087Fits in one request

Gemini 3.8 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.206Fits in one request

Qwen3.7 Max$0.339Fits 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 Qwen3.7 Max
Specification	Google Gemini 3.8 Flash	Qwen3.7 Max
Maker	Google	Qwen
Weights	No public weights listed	No public weights listed
Released	September 2, 2026	May 21, 2026
Context window	1.05M	1M
Input $/Mtok	$0.825	$1.475
Output $/Mtok	$4.125	$4.425
Coding index	70.5	45.1
Independent measurements behind it	2	1
Cost per solved task	$2.74	$4.69
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.8 Flash better than Qwen3.7 Max for coding?

Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 45.1 for Qwen3.7 Max. Pick Qwen3.7 Max when what matters is Design Arena: agents building Android apps or Design Arena: PowerPoint slides, where it leads.

Which is cheaper, Gemini 3.8 Flash or Qwen3.7 Max?

Gemini 3.8 Flash costs $0.825 per million input tokens and $4.125 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Gemini 3.8 Flash costs $2.74 and Qwen3.7 Max $4.69.

Which has the bigger context window, Gemini 3.8 Flash or Qwen3.7 Max?

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

How many benchmarks is the Gemini 3.8 Flash vs Qwen3.7 Max comparison based on?

51 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 Qwen3.7 Max's on 1. Where only one model has a result, the page says so instead of naming a winner.

Decision reading

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

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