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Gemini 3.5 Flash vs Qwen3.5-122B-A10B

Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.5 Flash Replace Qwen3.5-122B-A10B
Gemini 3.5 FlashGoogle
Coding
42.8
Overall
33.6
Output $/M
$9.00
49
Qwen3.5-122B-A10BQwen
Coding
22.9
Overall
17.7
Output $/M
$2.08
1
vs boards won of 50 shared

Decision reading

Pick Gemini 3.5 Flash for coding: it scores 42.8 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B.

Pick Qwen3.5-122B-A10B when output tokens cost 4.3x less, or when the benchmark that matters is Long context reasoning (AA-LCR), where it leads.

Model AGemini 3.5 FlashGoogle42.8/1001 independent benchmark$1.21 per solved taskModel BQwen3.5-122B-A10BQwen22.9/1001 independent benchmarkNo cost per solved task
Shared results
50
Gemini 3.5 Flash only
60
Qwen3.5-122B-A10B only
1
Like-for-like categories
7 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.

At a glance

Coding index
Gemini 3.5 Flash 42.8 from 1 benchmark, Qwen3.5-122B-A10B 22.9 from 1 benchmark.
Widest category
Coding, 17.2 points apart on average over 7 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Gemini 3.5 Flash 1522 against Qwen3.5-122B-A10B 1351, 28.5 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against Qwen3.5-122B-A10B $2.08 per million output tokens, 4.3x apart.
Context window
Gemini 3.5 Flash takes 1.05M tokens, Qwen3.5-122B-A10B 262K.

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 FlashBarsQwen3.5-122B-A10BTies
Coding70
Intelligence10
Agentic work10
Reasoning80
Math20
Knowledge40
General261
All shared boards491
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
Coding benchmarks for Gemini 3.5 Flash and Qwen3.5-122B-A10B
BenchmarkGemini 3.5 FlashQwen3.5-122B-A10BLeader
LMArena WebDev14991361Gemini 3.5 Flash
AA Coding IndexNot measured43.3Only Qwen3.5-122B-A10B 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%39.7%Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)46.2%31.1%Gemini 3.5 Flash
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.0Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: coding14931436Gemini 3.5 Flash
LMArena Text: software and IT14941436Gemini 3.5 Flash
LMArena WebDev: React14951353Gemini 3.5 Flash
LMArena WebDev: HTML15221351Gemini 3.5 Flash
LMArena WebDev: from an image1504Not 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 Qwen3.5-122B-A10B
BenchmarkGemini 3.5 FlashQwen3.5-122B-A10BLeader
AA Intelligence Index33.617.7Gemini 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 Qwen3.5-122B-A10B
BenchmarkGemini 3.5 FlashQwen3.5-122B-A10BLeader
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 apps1175Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1190Not 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 slides1142Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1178Not 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%93.6%Gemini 3.5 Flash
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Gemini 3.5 Flash and Qwen3.5-122B-A10B
BenchmarkGemini 3.5 FlashQwen3.5-122B-A10BLeader
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%85.7%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)42.7%25.2%Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)92.8%Not measuredOnly Gemini 3.5 Flash measured
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%17.0%Gemini 3.5 Flash
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881421Gemini 3.5 Flash
LMArena Text: expert14951431Gemini 3.5 Flash
LMArena Text: hard prompts in English14831431Gemini 3.5 Flash
LMArena Vision: diagrams13231249Gemini 3.5 Flash
LMArena Vision: homework13301261Gemini 3.5 Flash
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 3.5 Flash and Qwen3.5-122B-A10B
BenchmarkGemini 3.5 FlashQwen3.5-122B-A10BLeader
OTIS Mock AIME95.6%Not measuredOnly Gemini 3.5 Flash measured
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: math15041431Gemini 3.5 Flash
LMArena Text: mathematical work14951431Gemini 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 index40
Knowledge benchmarks for Gemini 3.5 Flash and Qwen3.5-122B-A10B
BenchmarkGemini 3.5 FlashQwen3.5-122B-A10BLeader
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%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science14951432Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831423Gemini 3.5 Flash
LMArena Text: legal and government14881422Gemini 3.5 Flash
LMArena Text: business and finance14671414Gemini 3.5 Flash
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemini 3.5 Flash and Qwen3.5-122B-A10B
BenchmarkGemini 3.5 FlashQwen3.5-122B-A10BLeader
Design Arena: websites1268Not measuredOnly Gemini 3.5 Flash measured
Design Arena: UI components1272Not measuredOnly Gemini 3.5 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.5 Flash measured
Design Arena: data viz1236Not measuredOnly Gemini 3.5 Flash measured
Design Arena: 3D1244Not measuredOnly Gemini 3.5 Flash measured
Design Arena: all code categories1266Not measuredOnly Gemini 3.5 Flash measured
Design Arena: SVG1254Not measuredOnly Gemini 3.5 Flash measured
Design Arena: ASCII art1253Not 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 index261
General benchmarks for Gemini 3.5 Flash and Qwen3.5-122B-A10B
BenchmarkGemini 3.5 FlashQwen3.5-122B-A10BLeader
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%75.7%Gemini 3.5 Flash
Long context reasoning (AA-LCR)74.3%76.3%Qwen3.5-122B-A10B
DTBench94.7%84.3%Gemini 3.5 Flash
LMCA47.1%32.2%Gemini 3.5 Flash
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text14821417Gemini 3.5 Flash
LMArena Text: instruction following14671399Gemini 3.5 Flash
LMArena Text: creative writing14701368Gemini 3.5 Flash
LMArena Vision13081244Gemini 3.5 Flash
LMArena Text: English14811428Gemini 3.5 Flash
LMArena Text: non-English14751401Gemini 3.5 Flash
LMArena Text: Chinese15271463Gemini 3.5 Flash
LMArena Text: German14941425Gemini 3.5 Flash
LMArena Text: Japanese14861367Gemini 3.5 Flash
LMArena Text: Korean14481353Gemini 3.5 Flash
LMArena Text: French14901443Gemini 3.5 Flash
LMArena Text: Spanish14801425Gemini 3.5 Flash
LMArena Text: Russian14931400Gemini 3.5 Flash
LMArena Text: Polish15161398Gemini 3.5 Flash
LMArena Text: multi-turn14811416Gemini 3.5 Flash
LMArena Text: longer queries14831410Gemini 3.5 Flash
LMArena Text: writing and language14781387Gemini 3.5 Flash
LMArena Text: entertainment and media14591366Gemini 3.5 Flash
LMArena Vision: English13051249Gemini 3.5 Flash
LMArena Vision: Chinese13771301Gemini 3.5 Flash
LMArena Vision: reading text13171251Gemini 3.5 Flash
LMArena Vision: humor13211243Gemini 3.5 Flash
LMArena Vision: creative writing13011220Gemini 3.5 Flash
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 13 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 Qwen3.5-122B-A10B
BenchmarkGemini 3.5 FlashQwen3.5-122B-A10BLeader
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
Qwen3.5-122B-A10B$0.0013Fits in one request

Qwen3.5-122B-A10B costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
Qwen3.5-122B-A10B$0.019Fits in one request

Qwen3.5-122B-A10B costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
Qwen3.5-122B-A10B$0.073Fits in one request

Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B
SpecificationGoogle Gemini 3.5 FlashQwen3.5-122B-A10B
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026February 25, 2026
Context window1.05M262K
Input $/Mtok$1.50$0.26
Output $/Mtok$9.00$2.08
Coding index42.822.9
Independent measurements behind it11
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Qwen3.5-122B-A10B for coding?

Pick Gemini 3.5 Flash for coding: it scores 42.8 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B. Pick Qwen3.5-122B-A10B when output tokens cost 4.3x less, or when the benchmark that matters is Long context reasoning (AA-LCR), where it leads.

Which is cheaper, Gemini 3.5 Flash or Qwen3.5-122B-A10B?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Gemini 3.5 Flash or Qwen3.5-122B-A10B?

Gemini 3.5 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.5 Flash vs Qwen3.5-122B-A10B comparison based on?

50 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 1 independent benchmark and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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