Gemini 3.1 Pro Preview vs Qwen3.7 Max

Qwen3.7 Max leads Gemini 3.1 Pro Preview on coding, 54.1 to 32.3 on the Vibe Coding Index, and Qwen3.7 Max costs 2.7x less per output token ($4.425 vs $12.00 per million). Updated October 22, 2026; 58 benchmarks have a result for both.

Replace Gemini 3.1 Pro Preview Replace Qwen3.7 Max

Gemini 3.1 Pro PreviewGoogle

Coding: 32.3
Overall: 54.0
Output $/M: $12.00

Qwen3.7 MaxQwen

Coding: 54.1
Overall: 61.7
Output $/M: $4.425

vs boards won of 58 shared, 1 tied

Gemini 3.1 Pro Preview or Qwen3.7 Max: which to pick

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview, though on 3 benchmarks against 4.

Pick Gemini 3.1 Pro Preview for a lower cost per solved task ($0.99 against $4.69) and a larger context window (1.05M against 1M tokens).

Model AGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved task Model BQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved task

58751

Shared results: 58
Gemini 3.1 Pro Preview only: 75
Qwen3.7 Max only: 1
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
Qwen3.7 Max
Qwen3.7 Max scores 54.1 against 32.3.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 29.7 against 29.5.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.7 Max
Qwen3.7 Max leads, 22.5 against 8.2.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 90.2%.
Same board, both measured
Math
AIME
No call
Only Gemini 3.1 Pro Preview has a AIME result, 98.1%.
Directional only
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 89.3%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.7 Max
Qwen3.7 Max leads, 1274 against 1233.
Same board, both measured
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Max
Gemini 3.1 Pro Preview $0.0080, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview $0.99, Qwen3.7 Max $4.69.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.1 Pro Preview 32.3 from 4 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
Widest category: Agentic work, 8.0 points apart on average over 14 shared benchmarks.
Widest single gap: Chess puzzles: Gemini 3.1 Pro Preview 51.0% against Qwen3.7 Max 26.0%, 25.0 points apart on a 0 to 100 scale.
Output price: Gemini 3.1 Pro Preview $12.00 against Qwen3.7 Max $4.425 per million output tokens, 2.7x apart.
Context window: Gemini 3.1 Pro Preview 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 3.1 Pro Preview	Qwen3.7 Max	Ties
Coding	7	5
Intelligence	1	0
Agentic work	2	12
Reasoning	8	0
Math	1	2	1 tie
Knowledge	5	1
Web design	2	6
General	3	2
All shared boards	29	28	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index75

Coding benchmarks for Gemini 3.1 Pro Preview and Qwen3.7 Max
Benchmark	Gemini 3.1 Pro Preview	Qwen3.7 Max	Leader
LMArena WebDev	1447	1515	Qwen3.7 Max
AA Coding Index	68.8	66.0	Gemini 3.1 Pro Preview
LiveCodeBench (Vals AI)	88.5%	87.1%	Gemini 3.1 Pro Preview
SWE-bench Verified (Vals AI)	78.8%	68.8%	Gemini 3.1 Pro Preview
Terminal-Bench 4 (Vals AI)	2.5%	Not measured	Only Gemini 3.1 Pro Preview measured
Vibe Code Bench (Vals AI)	32.0%	47.7%	Qwen3.7 Max
Code migration (Vals AI)	17.3%	13.1%	Gemini 3.1 Pro Preview
ProgramBench (Vals AI)	0.0%	Not measured	Only Gemini 3.1 Pro Preview measured
IOI (Vals AI)	51.8%	Not measured	Only Gemini 3.1 Pro Preview measured
Terminal-Bench 2.1 (Vals AI)	70.8%	61.0%	Gemini 3.1 Pro Preview
Vibe Code Bench 1-100 (Vals AI)	6.7%	Not measured	Only Gemini 3.1 Pro Preview measured
SciCode	58.7%	49.5%	Gemini 3.1 Pro Preview
Terminal-Bench Hard (Artificial Analysis run)	53.8%	50.8%	Gemini 3.1 Pro Preview
Terminal-Bench	80.2%	Not measured	Only Gemini 3.1 Pro Preview measured
GSO-Bench	22.6%	Not measured	Only Gemini 3.1 Pro Preview measured
WeirdML	72.1%	Not measured	Only Gemini 3.1 Pro Preview measured
MirrorCode	8.9%	Not measured	Only Gemini 3.1 Pro Preview measured
ALE-Bench	1160.6	1189.4	Qwen3.7 Max
LMArena Text: coding	1484	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: software and IT	1487	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena WebDev: React	1438	1514	Qwen3.7 Max
LMArena WebDev: HTML	1490	1512	Qwen3.7 Max
LMArena WebDev: from an image	1481	Not measured	Only Gemini 3.1 Pro Preview measured
SciCode	14.3%	Not measured	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 15 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10

Intelligence benchmarks for Gemini 3.1 Pro Preview and Qwen3.7 Max
Benchmark	Gemini 3.1 Pro Preview	Qwen3.7 Max	Leader
AA Intelligence Index	29.7	29.5	Gemini 3.1 Pro Preview
Epoch Capabilities Index	Not measured	154.0	Only Qwen3.7 Max measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index212

Agentic work benchmarks for Gemini 3.1 Pro Preview and Qwen3.7 Max
Benchmark	Gemini 3.1 Pro Preview	Qwen3.7 Max	Leader
AA Agentic Index	8.2	22.5	Qwen3.7 Max
Design Arena: agents building web apps	1125	1208	Qwen3.7 Max
Design Arena: agents building full-stack apps	1068	1191	Qwen3.7 Max
Design Arena: agents building mobile apps	1094	1155	Qwen3.7 Max
Design Arena: agents building Android apps	1049	1159	Qwen3.7 Max
Design Arena: agents building Godot games	1236	1187	Gemini 3.1 Pro Preview
Design Arena: agents building games	1113	1161	Qwen3.7 Max
Design Arena: HTML slides	1103	1108	Qwen3.7 Max
Design Arena: PowerPoint slides	1041	1171	Qwen3.7 Max
SREBench (Vals AI)	0.0%	Not measured	Only Gemini 3.1 Pro Preview measured
Finance Agent (Vals AI)	43.0%	47.8%	Qwen3.7 Max
Tax Agent Bench (Vals AI)	9.3%	15.8%	Qwen3.7 Max
Legal Research Bench (Vals AI)	20.7%	25.5%	Qwen3.7 Max
Excel Modeling Benchmark (Vals AI)	52.6%	57.0%	Qwen3.7 Max
BioMysteryBench (Vals AI)	60.0%	Not measured	Only Gemini 3.1 Pro Preview measured
Terminal-Bench-Science (Vals AI)	1.4%	Not measured	Only Gemini 3.1 Pro Preview measured
Vals Science Index	27.4%	Not measured	Only Gemini 3.1 Pro Preview measured
τ²-Bench Telecom	95.6%	94.7%	Gemini 3.1 Pro Preview
APEX-Agents	35.1%	Not measured	Only Gemini 3.1 Pro Preview measured
METR time horizons	77.0%	Not measured	Only Gemini 3.1 Pro Preview measured
BALROG	57.0%	Not measured	Only Gemini 3.1 Pro Preview measured
DeepResearch Bench	47.8%	Not measured	Only Gemini 3.1 Pro Preview measured
PostTrainBench	22.0%	Not measured	Only Gemini 3.1 Pro Preview measured
Vending-Bench 2	$911	Not measured	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 17 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index80

Reasoning benchmarks for Gemini 3.1 Pro Preview and Qwen3.7 Max
Benchmark	Gemini 3.1 Pro Preview	Qwen3.7 Max	Leader
GPQA Diamond	95.5%	90.2%	Gemini 3.1 Pro Preview
MysteryMechanism (Vals AI)	20.7%	Not measured	Only Gemini 3.1 Pro Preview measured
MMMU Pro (Vals AI)	88.2%	Not measured	Only Gemini 3.1 Pro Preview measured
GPQA Diamond (Artificial Analysis run)	94.1%	92.3%	Gemini 3.1 Pro Preview
Humanity's Last Exam (Artificial Analysis run)	47.0%	40.5%	Gemini 3.1 Pro Preview
GPQA Diamond (Epoch AI run)	94.4%	90.9%	Gemini 3.1 Pro Preview
ARC-AGI	98.0%	Not measured	Only Gemini 3.1 Pro Preview measured
ARC-AGI-2	77.1%	Not measured	Only Gemini 3.1 Pro Preview measured
SimpleBench	79.6%	70.4%	Gemini 3.1 Pro Preview
Chess puzzles	51.0%	26.0%	Gemini 3.1 Pro Preview
Mystery game puzzles	34.0%	32.0%	Gemini 3.1 Pro Preview
EBR-bench	14.3%	9.5%	Gemini 3.1 Pro Preview
LMArena Text: hard prompts	1485	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: expert	1483	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: hard prompts in English	1480	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: diagrams	1311	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: homework	1316	Not measured	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 5 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index12

Math benchmarks for Gemini 3.1 Pro Preview and Qwen3.7 Max
Benchmark	Gemini 3.1 Pro Preview	Qwen3.7 Max	Leader
AIME	98.1%	Not measured	Only Gemini 3.1 Pro Preview measured
OTIS Mock AIME	95.6%	95.6%	Gemini 3.1 Pro Preview
FrontierMath, tiers 1 to 3	59.6%	64.6%	Qwen3.7 Max
FrontierMath, tier 4	26.8%	34.1%	Qwen3.7 Max
ProofBench	26.0%	26.0%	Tie
LMArena Text: math	1486	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: mathematical work	1478	Not measured	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index51

Knowledge benchmarks for Gemini 3.1 Pro Preview and Qwen3.7 Max
Benchmark	Gemini 3.1 Pro Preview	Qwen3.7 Max	Leader
MMLU Pro	91.0%	89.3%	Gemini 3.1 Pro Preview
LegalBench (Vals AI)	87.4%	84.9%	Gemini 3.1 Pro Preview
CaseLaw (Vals AI)	64.8%	Not measured	Only Gemini 3.1 Pro Preview measured
CorpFin (Vals AI)	64.5%	63.7%	Gemini 3.1 Pro Preview
TaxEval (Vals AI)	72.9%	75.3%	Qwen3.7 Max
MortgageTax (Vals AI)	69.4%	Not measured	Only Gemini 3.1 Pro Preview measured
MedQA (Vals AI)	96.4%	Not measured	Only Gemini 3.1 Pro Preview measured
MedCode (Vals AI)	59.1%	38.8%	Gemini 3.1 Pro Preview
SimpleQA Verified	73.5%	55.8%	Gemini 3.1 Pro Preview
LMArena Text: science	1497	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: medicine and healthcare	1486	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: legal and government	1487	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: business and finance	1459	Not measured	Only Gemini 3.1 Pro Preview measured
FACTS Benchmark Suite	67.4%	Not measured	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 4 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index26

Web design benchmarks for Gemini 3.1 Pro Preview and Qwen3.7 Max
Benchmark	Gemini 3.1 Pro Preview	Qwen3.7 Max	Leader
Design Arena: websites	1233	1274	Qwen3.7 Max
Design Arena: UI components	1224	1267	Qwen3.7 Max
Design Arena: game dev	1202	1264	Qwen3.7 Max
Design Arena: data viz	1209	1275	Qwen3.7 Max
Design Arena: 3D	1234	1265	Qwen3.7 Max
Design Arena: all code categories	1231	1275	Qwen3.7 Max
Design Arena: SVG	1285	1216	Gemini 3.1 Pro Preview
Design Arena: ASCII art	1270	1211	Gemini 3.1 Pro Preview
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index32

General benchmarks for Gemini 3.1 Pro Preview and Qwen3.7 Max
Benchmark	Gemini 3.1 Pro Preview	Qwen3.7 Max	Leader
Public Benefits Bench (Vals AI)	53.8%	Not measured	Only Gemini 3.1 Pro Preview measured
SAGE (Vals AI)	48.7%	Not measured	Only Gemini 3.1 Pro Preview measured
MedScribe (Vals AI)	76.1%	79.4%	Qwen3.7 Max
Vals Multimodal Index	56.1%	Not measured	Only Gemini 3.1 Pro Preview measured
IFBench	77.1%	80.5%	Qwen3.7 Max
Long context reasoning (AA-LCR)	82.0%	79.0%	Gemini 3.1 Pro Preview
DTBench	97.1%	92.3%	Gemini 3.1 Pro Preview
LMCA	53.8%	44.0%	Gemini 3.1 Pro Preview
CL-bench	20.8%	Not measured	Only Gemini 3.1 Pro Preview measured
Furniture assembly	26.7%	Not measured	Only Gemini 3.1 Pro Preview measured
ExploitBench	26.1%	Not measured	Only Gemini 3.1 Pro Preview measured
CL-bench Life	16.9%	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text	1480	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: instruction following	1466	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: creative writing	1482	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision	1296	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: English	1478	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: non-English	1476	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: Chinese	1527	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: German	1490	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: Japanese	1491	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: Korean	1455	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: French	1487	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: Spanish	1481	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: Russian	1497	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: Polish	1498	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: multi-turn	1487	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: longer queries	1482	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: writing and language	1481	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: entertainment and media	1465	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: English	1287	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: Chinese	1364	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: reading text	1304	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: humor	1322	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: captioning	1345	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: recognizing things	1330	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: creative writing	1324	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Document	1444	Not measured	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 8 boards here

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

Image generation benchmarks for Gemini 3.1 Pro Preview and Qwen3.7 Max
Benchmark	Gemini 3.1 Pro Preview	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 3.1 Pro Preview$0.0080Fits in one request

Qwen3.7 Max$0.0037Fits in one request

Qwen3.7 Max costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Pro Preview$0.136Fits in one request

Qwen3.7 Max$0.087Fits in one request

Qwen3.7 Max costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Pro Preview$0.520Fits in one request

Qwen3.7 Max$0.339Fits in one request

Qwen3.7 Max 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 3.1 Pro Preview and Qwen3.7 Max
Specification	Google Gemini 3.1 Pro Preview	Qwen3.7 Max
Maker	Google	Qwen
Weights	No public weights listed	No public weights listed
Released	February 19, 2026	May 21, 2026
Context window	1.05M	1M
Input $/Mtok	$2.00	$1.475
Output $/Mtok	$12.00	$4.425
Coding index	32.3	54.1
Independent measurements behind it	4	3
Cost per solved task	$0.99	$4.69
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.1 Pro Preview better than Qwen3.7 Max for coding?

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview, though on 3 benchmarks against 4. Pick Gemini 3.1 Pro Preview for a lower cost per solved task ($0.99 against $4.69) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Gemini 3.1 Pro Preview or Qwen3.7 Max?

Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Gemini 3.1 Pro Preview costs $0.99 and Qwen3.7 Max $4.69.

Which has the bigger context window, Gemini 3.1 Pro Preview or Qwen3.7 Max?

Gemini 3.1 Pro Preview, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 3.1 Pro Preview vs Qwen3.7 Max comparison based on?

58 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Pro Preview's coding index rests on 4 independent benchmarks and Qwen3.7 Max's on 3. 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-3-1-pro-preview-vs-qwen3-7-max" title="Gemini 3.1 Pro Preview vs Qwen3.7 Max, 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-3-1-pro-preview-vs-qwen3-7-max">LLMBenchmark.ai, Gemini 3.1 Pro Preview vs Qwen3.7 Max</a></p>

Gemini 3.1 Pro Preview or Qwen3.7 Max: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

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