Gemini 2.5 Pro vs Qwen3.5 Plus 2026-04-20

Qwen3.5 Plus 2026-04-20 leads Gemini 2.5 Pro on coding, 39.5 to 19.1 on the Vibe Coding Index, and Qwen3.5 Plus 2026-04-20 costs 5.6x less per output token ($1.80 vs $10.00 per million). Updated October 22, 2026; 12 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace Qwen3.5 Plus 2026-04-20

Gemini 2.5 ProGoogle

Coding: 19.1
Overall: 41.8
Output $/M: $10.00

Qwen3.5 Plus 2026-04-20Qwen

Coding: 39.5
Overall: No data
Output $/M: $1.80

vs boards won of 12 shared

Gemini 2.5 Pro or Qwen3.5 Plus 2026-04-20: which to pick

Pick Qwen3.5 Plus 2026-04-20 for coding: it scores 39.5 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro, though on 2 benchmarks against 3.

Pick Gemini 2.5 Pro for a lower cost per solved task ($0.64 against $1.35) and a larger context window (1.05M against 1M tokens).

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved task Model BQwen3.5 Plus 2026-04-20Qwen39.5/1002 independent benchmarks$1.35 per solved task

128213

Shared results: 12
Gemini 2.5 Pro only: 82
Qwen3.5 Plus 2026-04-20 only: 13
Like-for-like categories: 7 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
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 scores 39.5 against 19.1.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Gemini 2.5 Pro has a AA Intelligence Index result, 16.1.
Directional only
Agentic work
AA Agentic Index
No call
Only Gemini 2.5 Pro has a AA Agentic Index result, 1.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.5 Plus 2026-04-20 has a GPQA Diamond result, 87.4%.
Directional only
Math
AIME
No call
Only Qwen3.5 Plus 2026-04-20 has a AIME result, 86.0%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.5 Plus 2026-04-20 has a MMLU Pro result, 87.2%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 2.5 Pro has a Design Arena: websites result, 1167.
Directional only
Long documents
Listed context window
Gemini 2.5 Pro
Gemini 2.5 Pro takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5 Plus 2026-04-20
Gemini 2.5 Pro $0.0063, Qwen3.5 Plus 2026-04-20 $0.0012 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 2.5 Pro
Gemini 2.5 Pro $0.64, Qwen3.5 Plus 2026-04-20 $1.35.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 2.5 Pro 19.1 from 3 benchmarks, Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks.
Widest category: Coding, 16.1 points apart on average over 2 shared benchmarks.
Widest single gap: SWE-bench Verified (Vals AI): Gemini 2.5 Pro 54.4% against Qwen3.5 Plus 2026-04-20 71.2%, 16.8 points apart on a 0 to 100 scale.
Output price: Gemini 2.5 Pro $10.00 against Qwen3.5 Plus 2026-04-20 $1.80 per million output tokens, 5.6x apart.
Context window: Gemini 2.5 Pro takes 1.05M tokens, Qwen3.5 Plus 2026-04-20 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 2.5 Pro	Qwen3.5 Plus 2026-04-20
Coding	0	2
Intelligence	0	1
Agentic work	1	0
Reasoning	1	0
Math	0	1
Knowledge	2	1
General	2	1
All shared boards	6	6

CodingLike-for-likeSix of these boards feed the Vibe Coding Index02

Coding benchmarks for Gemini 2.5 Pro and Qwen3.5 Plus 2026-04-20
Benchmark	Gemini 2.5 Pro	Qwen3.5 Plus 2026-04-20	Leader
SWE-bench Verified	53.6%	Not measured	Only Gemini 2.5 Pro measured
LMArena WebDev	1226	Not measured	Only Gemini 2.5 Pro measured
AA Coding Index	33.3	Not measured	Only Gemini 2.5 Pro measured
LiveCodeBench (Vals AI)	Not measured	85.3%	Only Qwen3.5 Plus 2026-04-20 measured
SWE-bench Verified (Vals AI)	54.4%	71.2%	Qwen3.5 Plus 2026-04-20
Vibe Code Bench (Vals AI)	0.4%	15.7%	Qwen3.5 Plus 2026-04-20
LiveCodeBench (Artificial Analysis run)	80.1%	Not measured	Only Gemini 2.5 Pro measured
SciCode	46.3%	Not measured	Only Gemini 2.5 Pro measured
Terminal-Bench Hard (Artificial Analysis run)	26.5%	Not measured	Only Gemini 2.5 Pro measured
Terminal-Bench	32.6%	Not measured	Only Gemini 2.5 Pro measured
GSO-Bench	3.9%	Not measured	Only Gemini 2.5 Pro measured
WeirdML	54.0%	Not measured	Only Gemini 2.5 Pro measured
ALE-Bench	Not measured	608.9	Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: coding	1452	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: software and IT	1459	Not measured	Only Gemini 2.5 Pro measured
LMArena WebDev: HTML	1235	Not measured	Only Gemini 2.5 Pro measured
LMArena WebDev: from an image	1285	Not measured	Only Gemini 2.5 Pro measured
Neither model has a result on the other 26 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01

Intelligence benchmarks for Gemini 2.5 Pro and Qwen3.5 Plus 2026-04-20
Benchmark	Gemini 2.5 Pro	Qwen3.5 Plus 2026-04-20	Leader
AA Intelligence Index	16.1	Not measured	Only Gemini 2.5 Pro measured
Epoch Capabilities Index	145.1	146.2	Qwen3.5 Plus 2026-04-20

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

Agentic work benchmarks for Gemini 2.5 Pro and Qwen3.5 Plus 2026-04-20
Benchmark	Gemini 2.5 Pro	Qwen3.5 Plus 2026-04-20	Leader
AA Agentic Index	1.6	Not measured	Only Gemini 2.5 Pro measured
τ²-Bench Telecom	54.1%	Not measured	Only Gemini 2.5 Pro measured
GDPval	23.3%	Not measured	Only Gemini 2.5 Pro measured
DeepResearch Bench	41.5%	Not measured	Only Gemini 2.5 Pro measured
Vending-Bench 2	$574	$1	Gemini 2.5 Pro
BrowseComp-Plus	29.5%	Not measured	Only Gemini 2.5 Pro measured
Neither model has a result on the other 36 boards here

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

Reasoning benchmarks for Gemini 2.5 Pro and Qwen3.5 Plus 2026-04-20
Benchmark	Gemini 2.5 Pro	Qwen3.5 Plus 2026-04-20	Leader
GPQA Diamond	Not measured	87.4%	Only Qwen3.5 Plus 2026-04-20 measured
MMMU Pro (Vals AI)	Not measured	22.8%	Only Qwen3.5 Plus 2026-04-20 measured
GPQA Diamond (Artificial Analysis run)	84.4%	Not measured	Only Gemini 2.5 Pro measured
Humanity's Last Exam (Artificial Analysis run)	22.5%	Not measured	Only Gemini 2.5 Pro measured
GPQA Diamond (Epoch AI run)	85.3%	84.8%	Gemini 2.5 Pro
ARC-AGI	41.0%	Not measured	Only Gemini 2.5 Pro measured
ARC-AGI-2	4.9%	Not measured	Only Gemini 2.5 Pro measured
Chess puzzles	Not measured	8.0%	Only Qwen3.5 Plus 2026-04-20 measured
Mystery game puzzles	Not measured	17.0%	Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: hard prompts	1455	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: expert	1452	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: hard prompts in English	1453	Not measured	Only Gemini 2.5 Pro measured
LMArena Vision: diagrams	1274	Not measured	Only Gemini 2.5 Pro measured
LMArena Vision: homework	1281	Not measured	Only Gemini 2.5 Pro measured
Kagi LLM Benchmark	70.3%	Not measured	Only Gemini 2.5 Pro measured
Neither model has a result on the other 8 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index01

Math benchmarks for Gemini 2.5 Pro and Qwen3.5 Plus 2026-04-20
Benchmark	Gemini 2.5 Pro	Qwen3.5 Plus 2026-04-20	Leader
AIME	Not measured	86.0%	Only Qwen3.5 Plus 2026-04-20 measured
AA Math Index	87.7	Not measured	Only Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)	87.7%	Not measured	Only Gemini 2.5 Pro measured
OTIS Mock AIME	84.7%	86.7%	Qwen3.5 Plus 2026-04-20
FrontierMath, tiers 1 to 3	24.6%	Not measured	Only Gemini 2.5 Pro measured
FrontierMath, tier 4	0.0%	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: math	1450	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: mathematical work	1454	Not measured	Only Gemini 2.5 Pro measured
MathArena	12.7%	Not measured	Only Gemini 2.5 Pro measured
Neither model has a result on the other 5 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index21

Knowledge benchmarks for Gemini 2.5 Pro and Qwen3.5 Plus 2026-04-20
Benchmark	Gemini 2.5 Pro	Qwen3.5 Plus 2026-04-20	Leader
MMLU Pro	Not measured	87.2%	Only Qwen3.5 Plus 2026-04-20 measured
LegalBench (Vals AI)	Not measured	85.1%	Only Qwen3.5 Plus 2026-04-20 measured
CaseLaw (Vals AI)	63.9%	59.7%	Gemini 2.5 Pro
CorpFin (Vals AI)	60.8%	65.3%	Qwen3.5 Plus 2026-04-20
MortgageTax (Vals AI)	68.9%	60.8%	Gemini 2.5 Pro
MedQA (Vals AI)	Not measured	95.2%	Only Qwen3.5 Plus 2026-04-20 measured
MedCode (Vals AI)	50.6%	Not measured	Only Gemini 2.5 Pro measured
MMLU Pro (Artificial Analysis run)	86.2%	Not measured	Only Gemini 2.5 Pro measured
SimpleQA Verified	Not measured	25.4%	Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: science	1480	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: medicine and healthcare	1476	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: legal and government	1480	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: business and finance	1439	Not measured	Only Gemini 2.5 Pro measured
FACTS Benchmark Suite	61.5%	Not measured	Only Gemini 2.5 Pro measured
PRBench Finance	38.9%	Not measured	Only Gemini 2.5 Pro measured
PRBench Legal	41.4%	Not measured	Only Gemini 2.5 Pro measured
Neither model has a result on the other 4 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared

Web design benchmarks for Gemini 2.5 Pro and Qwen3.5 Plus 2026-04-20
Benchmark	Gemini 2.5 Pro	Qwen3.5 Plus 2026-04-20	Leader
Design Arena: websites	1167	Not measured	Only Gemini 2.5 Pro measured
Design Arena: UI components	1137	Not measured	Only Gemini 2.5 Pro measured
Design Arena: game dev	1111	Not measured	Only Gemini 2.5 Pro measured
Design Arena: data viz	1222	Not measured	Only Gemini 2.5 Pro measured
Design Arena: 3D	1080	Not measured	Only Gemini 2.5 Pro measured
Design Arena: all code categories	1152	Not measured	Only Gemini 2.5 Pro measured
Neither model has a result on the other 3 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index21

General benchmarks for Gemini 2.5 Pro and Qwen3.5 Plus 2026-04-20
Benchmark	Gemini 2.5 Pro	Qwen3.5 Plus 2026-04-20	Leader
SAGE (Vals AI)	41.9%	30.4%	Gemini 2.5 Pro
MedScribe (Vals AI)	73.5%	Not measured	Only Gemini 2.5 Pro measured
IFBench	48.7%	Not measured	Only Gemini 2.5 Pro measured
Long context reasoning (AA-LCR)	69.0%	Not measured	Only Gemini 2.5 Pro measured
DTBench	82.4%	80.5%	Gemini 2.5 Pro
LMCA	34.8%	36.4%	Qwen3.5 Plus 2026-04-20
Creative writing (Lech Mazur)	83.8%	Not measured	Only Gemini 2.5 Pro measured
CL-bench	Not measured	19.8%	Only Qwen3.5 Plus 2026-04-20 measured
CL-bench Life	Not measured	12.4%	Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text	1458	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: instruction following	1437	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: creative writing	1454	Not measured	Only Gemini 2.5 Pro measured
LMArena Vision	1263	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: English	1458	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: non-English	1452	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: Chinese	1507	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: German	1487	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: Japanese	1461	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: Korean	1434	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: French	1473	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: Spanish	1474	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: Russian	1461	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: Polish	1479	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: multi-turn	1453	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: longer queries	1449	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: writing and language	1454	Not measured	Only Gemini 2.5 Pro measured
LMArena Text: entertainment and media	1441	Not measured	Only Gemini 2.5 Pro measured
LMArena Vision: English	1261	Not measured	Only Gemini 2.5 Pro measured
LMArena Vision: Chinese	1300	Not measured	Only Gemini 2.5 Pro measured
LMArena Vision: reading text	1270	Not measured	Only Gemini 2.5 Pro measured
LMArena Vision: humor	1262	Not measured	Only Gemini 2.5 Pro measured
LMArena Vision: captioning	1304	Not measured	Only Gemini 2.5 Pro measured
LMArena Vision: recognizing things	1283	Not measured	Only Gemini 2.5 Pro measured
LMArena Vision: creative writing	1265	Not measured	Only Gemini 2.5 Pro measured
LMArena Document	1421	Not measured	Only Gemini 2.5 Pro measured
MultiChallenge	53.6%	Not measured	Only Gemini 2.5 Pro 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 2.5 Pro and Qwen3.5 Plus 2026-04-20
Benchmark	Gemini 2.5 Pro	Qwen3.5 Plus 2026-04-20	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 2.5 Pro$0.0063Fits in one request

Qwen3.5 Plus 2026-04-20$0.0012Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request

Qwen3.5 Plus 2026-04-20$0.020Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request

Qwen3.5 Plus 2026-04-20$0.078Fits in one request

Qwen3.5 Plus 2026-04-20 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 2.5 Pro and Qwen3.5 Plus 2026-04-20
Specification	Google Gemini 2.5 Pro	Qwen3.5 Plus 2026-04-20
Maker	Google	Qwen
Weights	No public weights listed	No public weights listed
Released	June 17, 2025	April 27, 2026
Context window	1.05M	1M
Input $/Mtok	$1.25	$0.30
Output $/Mtok	$10.00	$1.80
Coding index	19.1	39.5
Independent measurements behind it	3	2
Cost per solved task	$0.64	$1.35
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 2.5 Pro better than Qwen3.5 Plus 2026-04-20 for coding?

Pick Qwen3.5 Plus 2026-04-20 for coding: it scores 39.5 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro, though on 2 benchmarks against 3. Pick Gemini 2.5 Pro for a lower cost per solved task ($0.64 against $1.35) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Gemini 2.5 Pro or Qwen3.5 Plus 2026-04-20?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3.5 Plus 2026-04-20 costs $0.30 and $1.80. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and Qwen3.5 Plus 2026-04-20 $1.35.

Which has the bigger context window, Gemini 2.5 Pro or Qwen3.5 Plus 2026-04-20?

Gemini 2.5 Pro, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 2.5 Pro vs Qwen3.5 Plus 2026-04-20 comparison based on?

12 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and Qwen3.5 Plus 2026-04-20's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-2-5-pro-vs-qwen3-5-plus-20260420">LLMBenchmark.ai, Gemini 2.5 Pro vs Qwen3.5 Plus 2026-04-20</a></p>

Gemini 2.5 Pro or Qwen3.5 Plus 2026-04-20: 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