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Gemini 3.5 Flash vs Qwen3 235B A22B Thinking 2507

Gemini 3.5 Flash leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 33.6 to 12.7, and Qwen3 235B A22B Thinking 2507 costs 2.6x less per output token ($3.50 vs $9.00 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Replace Gemini 3.5 Flash Replace Qwen3 235B A22B Thinking 2507
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
42
Qwen3 235B A22B Thinking 2507Qwen
Coding
No data
Overall
52.9
Output $/M
$3.50
0
vs boards won of 42 shared

Gemini 3.5 Flash or Qwen3 235B A22B Thinking 2507: which to pick

Only Gemini 3.5 Flash has a coding score, 39.8 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding.

Pick Qwen3 235B A22B Thinking 2507 for output tokens 2.6x cheaper ($3.50 vs $9.00 per million).

Model AGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved taskModel BQwen3 235B A22B Thinking 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
42
Gemini 3.5 Flash only
70
Qwen3 235B A22B Thinking 2507 only
4
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.

At a glance

Coding index
Gemini 3.5 Flash 39.8 from 4 benchmarks, Qwen3 235B A22B Thinking 2507 not benchmarked.
Widest category
Agentic work, 33.7 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: UI components: Gemini 3.5 Flash 1270 against Qwen3 235B A22B Thinking 2507 942, 41.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 2.6x apart.
Context window
Gemini 3.5 Flash takes 1.05M tokens, Qwen3 235B A22B Thinking 2507 128K.

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
CategoryGemini 3.5 FlashBarsQwen3 235B A22B Thinking 2507Ties
Coding30
Intelligence10
Agentic work10
Reasoning50
Math30
Knowledge50
Web design60
General180
All shared boards420
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Gemini 3.5 Flash and Qwen3 235B A22B Thinking 2507
BenchmarkGemini 3.5 FlashQwen3 235B A22B Thinking 2507Leader
LMArena WebDev1499Not measuredOnly Gemini 3.5 Flash measured
AA Coding IndexNot measured22.1Only Qwen3 235B A22B Thinking 2507 measured
LiveCodeBench (Vals AI)87.6%Not measuredOnly Gemini 3.5 Flash measured
SWE-bench Verified (Vals AI)78.8%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)48.7%Not measuredOnly Gemini 3.5 Flash measured
Code migration (Vals AI)26.8%Not measuredOnly Gemini 3.5 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%Not measuredOnly Gemini 3.5 Flash measured
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
SciCode53.9%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
WeirdML62.6%41.0%Gemini 3.5 Flash
ALE-Bench911.0Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: coding14931424Gemini 3.5 Flash
LMArena Text: software and IT14941431Gemini 3.5 Flash
LMArena WebDev: React1495Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: HTML1522Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: from an image1504Not measuredOnly Gemini 3.5 Flash measured
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 3.5 Flash and Qwen3 235B A22B Thinking 2507
BenchmarkGemini 3.5 FlashQwen3 235B A22B Thinking 2507Leader
AA Intelligence Index33.612.7Gemini 3.5 Flash
Epoch Capabilities Index154.9Not measuredOnly Gemini 3.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 3.5 Flash and Qwen3 235B A22B Thinking 2507
BenchmarkGemini 3.5 FlashQwen3 235B A22B Thinking 2507Leader
AA Agentic IndexNot measured1.3Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: agents building web apps1202Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps1197Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building mobile apps1174Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1185Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1093Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1156Not measuredOnly Gemini 3.5 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly Gemini 3.5 Flash measured
Tax Agent Bench (Vals AI)21.6%Not measuredOnly Gemini 3.5 Flash measured
Legal Research Bench (Vals AI)30.8%Not measuredOnly Gemini 3.5 Flash measured
Excel Modeling Benchmark (Vals AI)63.5%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
Vending-Bench 2$5,396-$11Gemini 3.5 Flash
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Gemini 3.5 Flash and Qwen3 235B A22B Thinking 2507
BenchmarkGemini 3.5 FlashQwen3 235B A22B Thinking 2507Leader
GPQA Diamond92.7%Not measuredOnly Gemini 3.5 Flash measured
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%Not measuredOnly Gemini 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)42.7%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Epoch AI run)92.8%80.1%Gemini 3.5 Flash
ARC-AGI92.5%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI-272.1%Not measuredOnly Gemini 3.5 Flash measured
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%Not measuredOnly Gemini 3.5 Flash measured
Mystery game puzzles32.0%9.0%Gemini 3.5 Flash
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881416Gemini 3.5 Flash
LMArena Text: expert14951463Gemini 3.5 Flash
LMArena Text: hard prompts in English14831432Gemini 3.5 Flash
LMArena Vision: diagrams1323Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: homework1330Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 3.5 Flash and Qwen3 235B A22B Thinking 2507
BenchmarkGemini 3.5 FlashQwen3 235B A22B Thinking 2507Leader
OTIS Mock AIME95.6%86.7%Gemini 3.5 Flash
FrontierMath, tiers 1 to 362.8%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: math15041412Gemini 3.5 Flash
LMArena Text: mathematical work14951435Gemini 3.5 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 3.5 Flash and Qwen3 235B A22B Thinking 2507
BenchmarkGemini 3.5 FlashQwen3 235B A22B Thinking 2507Leader
MMLU Pro89.5%Not measuredOnly Gemini 3.5 Flash measured
LegalBench (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash measured
CorpFin (Vals AI)64.7%Not measuredOnly Gemini 3.5 Flash measured
TaxEval (Vals AI)74.4%Not measuredOnly Gemini 3.5 Flash measured
MortgageTax (Vals AI)68.1%Not measuredOnly Gemini 3.5 Flash measured
MedCode (Vals AI)55.8%Not measuredOnly Gemini 3.5 Flash measured
SimpleQA Verified66.2%40.4%Gemini 3.5 Flash
LMArena Text: science14951433Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831456Gemini 3.5 Flash
LMArena Text: legal and government14881415Gemini 3.5 Flash
LMArena Text: business and finance14671413Gemini 3.5 Flash
FACTS Benchmark Suite63.1%Not measuredOnly Gemini 3.5 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 index60
Web design benchmarks for Gemini 3.5 Flash and Qwen3 235B A22B Thinking 2507
BenchmarkGemini 3.5 FlashQwen3 235B A22B Thinking 2507Leader
Design Arena: websites12671052Gemini 3.5 Flash
Design Arena: UI components1270942Gemini 3.5 Flash
Design Arena: game dev1263956Gemini 3.5 Flash
Design Arena: data viz1237950Gemini 3.5 Flash
Design Arena: 3D1243997Gemini 3.5 Flash
Design Arena: all code categories12661032Gemini 3.5 Flash
Design Arena: SVG1253Not measuredOnly Gemini 3.5 Flash measured
Design Arena: ASCII art1254Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for Gemini 3.5 Flash and Qwen3 235B A22B Thinking 2507
BenchmarkGemini 3.5 FlashQwen3 235B A22B Thinking 2507Leader
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%Not measuredOnly Gemini 3.5 Flash measured
MedScribe (Vals AI)76.6%Not measuredOnly Gemini 3.5 Flash measured
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%Not measuredOnly Gemini 3.5 Flash measured
DTBench94.7%80.3%Gemini 3.5 Flash
LMCA47.1%29.3%Gemini 3.5 Flash
Fiction.LiveBenchNot measured75.0%Only Qwen3 235B A22B Thinking 2507 measured
Creative writing (Lech Mazur)Not measured82.4%Only Qwen3 235B A22B Thinking 2507 measured
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text14821415Gemini 3.5 Flash
LMArena Text: instruction following14671386Gemini 3.5 Flash
LMArena Text: creative writing14701384Gemini 3.5 Flash
LMArena Vision1308Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: English14811429Gemini 3.5 Flash
LMArena Text: non-English14751397Gemini 3.5 Flash
LMArena Text: Chinese15271481Gemini 3.5 Flash
LMArena Text: German14941408Gemini 3.5 Flash
LMArena Text: Japanese14861386Gemini 3.5 Flash
LMArena Text: Korean14481375Gemini 3.5 Flash
LMArena Text: French1490Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Spanish14801389Gemini 3.5 Flash
LMArena Text: Russian14931401Gemini 3.5 Flash
LMArena Text: Polish15161390Gemini 3.5 Flash
LMArena Text: multi-turn14811406Gemini 3.5 Flash
LMArena Text: longer queries14831400Gemini 3.5 Flash
LMArena Text: writing and language14781388Gemini 3.5 Flash
LMArena Text: entertainment and media14591370Gemini 3.5 Flash
LMArena Vision: English1305Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: Chinese1377Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: reading text1317Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: humor1321Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: creative writing1301Not measuredOnly Gemini 3.5 Flash measured
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash and Qwen3 235B A22B Thinking 2507
BenchmarkGemini 3.5 FlashQwen3 235B A22B Thinking 2507Leader
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 3.5 Flash$0.0060Fits in one request
Qwen3 235B A22B Thinking 2507$0.0022Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
Qwen3 235B A22B Thinking 2507$0.033Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
Qwen3 235B A22B Thinking 2507$0.125Exceeds the context window

Qwen3 235B A22B Thinking 2507 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 3.5 Flash and Qwen3 235B A22B Thinking 2507
SpecificationGoogle Gemini 3.5 FlashQwen3 235B A22B Thinking 2507
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026July 25, 2025
Context window1.05M128K
Input $/Mtok$1.50$0.45
Output $/Mtok$9.00$3.50
Coding index39.8Not benchmarked
Independent measurements behind it40
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Qwen3 235B A22B Thinking 2507 for coding?

Only Gemini 3.5 Flash has a coding score, 39.8 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding. Pick Qwen3 235B A22B Thinking 2507 for output tokens 2.6x cheaper ($3.50 vs $9.00 per million).

Which is cheaper, Gemini 3.5 Flash or Qwen3 235B A22B Thinking 2507?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Gemini 3.5 Flash or Qwen3 235B A22B Thinking 2507?

Gemini 3.5 Flash, with 1.05M tokens against 128K.

How many benchmarks is the Gemini 3.5 Flash vs Qwen3 235B A22B Thinking 2507 comparison based on?

42 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash's coding index rests on 4 independent benchmarks and Qwen3 235B A22B Thinking 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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