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Gemini 3.6 Flash vs Qwen2.5 Coder 32B Instruct

Updated October 21, 2026. 26 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 3.6 FlashGoogle
Coding
48.3
Overall
34.0
Output $/M
$3.75
26
Qwen2.5 Coder 32B InstructQwen
Coding
30.5
Overall
6.7
Output $/M
$1.00
0
vs boards won of 26 shared

Decision reading

Pick Gemini 3.6 Flash for coding: it scores 48.3 on the Vibe Coding Index against 30.5 for Qwen2.5 Coder 32B Instruct, though on 1 benchmark against 2.

Pick Qwen2.5 Coder 32B Instruct when output tokens cost 3.8x less.

Shared results
26
Gemini 3.6 Flash only
81
Qwen2.5 Coder 32B Instruct only
9
Like-for-like categories
6 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 3.6 Flash 48.3 from 1 benchmark, Qwen2.5 Coder 32B Instruct 30.5 from 2 benchmarks.
Widest category
General, 44.2 points apart on average over 11 shared benchmarks.
Widest single gap
LMArena Text: Chinese: Gemini 3.6 Flash 1531 against Qwen2.5 Coder 32B Instruct 1222, 51.4 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against Qwen2.5 Coder 32B Instruct $1.00 per million output tokens, 3.8x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, Qwen2.5 Coder 32B Instruct 33K.

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 3.6 FlashBarsQwen2.5 Coder 32B InstructTies
Coding20
Intelligence20
Reasoning50
Math20
Knowledge40
General110
All shared boards260
CodingLike-for-likeFour of these boards feed the Vibe Coding Index20
Coding benchmarks for Gemini 3.6 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 3.6 FlashQwen2.5 Coder 32B InstructLeader
Aider polyglotNot measured16.4%Only Qwen2.5 Coder 32B Instruct measured
SWE-bench VerifiedNot measured47.0%Only Qwen2.5 Coder 32B Instruct measured
LMArena WebDev1538Not measuredOnly Gemini 3.6 Flash measured
AA Coding Index69.2Not measuredOnly Gemini 3.6 Flash measured
LiveCodeBench (Vals AI)88.1%Not measuredOnly Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Gemini 3.6 Flash measured
Vibe Code Bench (Vals AI)64.0%Not measuredOnly Gemini 3.6 Flash measured
Code migration (Vals AI)30.9%Not measuredOnly Gemini 3.6 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.6 Flash measured
IOI (Vals AI)35.1%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)73.8%Not measuredOnly Gemini 3.6 Flash measured
CyberBench (Vals AI)45.4%Not measuredOnly Gemini 3.6 Flash measured
LiveCodeBench (Artificial Analysis run)Not measured29.5%Only Qwen2.5 Coder 32B Instruct measured
SciCode53.4%Not measuredOnly Gemini 3.6 Flash measured
FrontierCode34.4%Not measuredOnly Gemini 3.6 Flash measured
WeirdML56.1%Not measuredOnly Gemini 3.6 Flash measured
ALE-Bench715.5Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: coding14911276Gemini 3.6 Flash
LMArena Text: software and IT14921261Gemini 3.6 Flash
LMArena WebDev: React1528Not measuredOnly Gemini 3.6 Flash measured
LMArena WebDev: HTML1547Not measuredOnly Gemini 3.6 Flash measured
LMArena WebDev: from an image1545Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.6 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 3.6 FlashQwen2.5 Coder 32B InstructLeader
AA Intelligence Index34.06.7Gemini 3.6 Flash
Epoch Capabilities Index154.5119.5Gemini 3.6 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for Gemini 3.6 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 3.6 FlashQwen2.5 Coder 32B InstructLeader
AA Agentic Index29.0Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building web apps1197Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building mobile apps1199Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building Android apps1208Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building games1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: HTML slides1148Not measuredOnly Gemini 3.6 Flash measured
Design Arena: PowerPoint slides1146Not measuredOnly Gemini 3.6 Flash measured
Design Arena: spreadsheets1017Not measuredOnly Gemini 3.6 Flash measured
Finance Agent (Vals AI)56.3%Not measuredOnly Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)18.0%Not measuredOnly Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)25.0%Not measuredOnly Gemini 3.6 Flash measured
Excel Modeling Benchmark (Vals AI)65.4%Not measuredOnly Gemini 3.6 Flash measured
BioMysteryBench (Vals AI)58.5%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Gemini 3.6 Flash measured
APEX-Agents46.9%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Gemini 3.6 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 3.6 FlashQwen2.5 Coder 32B InstructLeader
GPQA Diamond93.4%Not measuredOnly Gemini 3.6 Flash measured
MMMU Pro (Vals AI)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%41.7%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)40.8%3.5%Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)94.1%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI91.2%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI-260.4%Not measuredOnly Gemini 3.6 Flash measured
Chess puzzles42.0%Not measuredOnly Gemini 3.6 Flash measured
Mystery game puzzles30.0%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: hard prompts14861251Gemini 3.6 Flash
LMArena Text: expert14901221Gemini 3.6 Flash
LMArena Text: hard prompts in English14841269Gemini 3.6 Flash
LMArena Vision: diagrams1314Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: homework1314Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 3.6 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 3.6 FlashQwen2.5 Coder 32B InstructLeader
OTIS Mock AIME94.2%Not measuredOnly Gemini 3.6 Flash measured
FrontierMath, tiers 1 to 358.9%Not measuredOnly Gemini 3.6 Flash measured
FrontierMath, tier 422.0%Not measuredOnly Gemini 3.6 Flash measured
ProofBench36.0%Not measuredOnly Gemini 3.6 Flash measured
GSM8KNot measured93.0%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text: math15081251Gemini 3.6 Flash
LMArena Text: mathematical work14921243Gemini 3.6 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemini 3.6 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 3.6 FlashQwen2.5 Coder 32B InstructLeader
MMLU Pro89.3%Not measuredOnly Gemini 3.6 Flash measured
LegalBench (Vals AI)86.7%Not measuredOnly Gemini 3.6 Flash measured
CorpFin (Vals AI)63.3%Not measuredOnly Gemini 3.6 Flash measured
TaxEval (Vals AI)74.9%Not measuredOnly Gemini 3.6 Flash measured
MortgageTax (Vals AI)67.6%Not measuredOnly Gemini 3.6 Flash measured
MedCode (Vals AI)53.1%Not measuredOnly Gemini 3.6 Flash measured
MMLU Pro (Artificial Analysis run)Not measured63.5%Only Qwen2.5 Coder 32B Instruct measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.6 Flash measured
MMLUNot measured79.1%Only Qwen2.5 Coder 32B Instruct measured
AI2 Reasoning ChallengeNot measured70.5%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text: science14891221Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691187Gemini 3.6 Flash
LMArena Text: legal and government14791257Gemini 3.6 Flash
LMArena Text: business and finance14641224Gemini 3.6 Flash
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemini 3.6 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 3.6 FlashQwen2.5 Coder 32B InstructLeader
Design Arena: websites1301Not measuredOnly Gemini 3.6 Flash measured
Design Arena: UI components1297Not measuredOnly Gemini 3.6 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.6 Flash measured
Design Arena: data viz1289Not measuredOnly Gemini 3.6 Flash measured
Design Arena: 3D1272Not measuredOnly Gemini 3.6 Flash measured
Design Arena: all code categories1290Not measuredOnly Gemini 3.6 Flash measured
Design Arena: ASCII art1281Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index110
General benchmarks for Gemini 3.6 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 3.6 FlashQwen2.5 Coder 32B InstructLeader
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%Not measuredOnly Gemini 3.6 Flash measured
MedScribe (Vals AI)79.7%Not measuredOnly Gemini 3.6 Flash measured
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)80.0%Not measuredOnly Gemini 3.6 Flash measured
DTBench95.5%Not measuredOnly Gemini 3.6 Flash measured
LMCA44.9%Not measuredOnly Gemini 3.6 Flash measured
Furniture assembly23.3%Not measuredOnly Gemini 3.6 Flash measured
HellaSwagNot measured83.0%Only Qwen2.5 Coder 32B Instruct measured
WinoGrandeNot measured80.8%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text14801230Gemini 3.6 Flash
LMArena Text: instruction following14671223Gemini 3.6 Flash
LMArena Text: creative writing14661174Gemini 3.6 Flash
LMArena Vision1299Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: English14821248Gemini 3.6 Flash
LMArena Text: non-English14701205Gemini 3.6 Flash
LMArena Text: Chinese15311222Gemini 3.6 Flash
LMArena Text: German1480Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Japanese1475Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Korean1429Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: French1503Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Spanish1476Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Russian14881228Gemini 3.6 Flash
LMArena Text: Polish1473Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: multi-turn14811222Gemini 3.6 Flash
LMArena Text: longer queries14751251Gemini 3.6 Flash
LMArena Text: writing and language14701191Gemini 3.6 Flash
LMArena Text: entertainment and media14561150Gemini 3.6 Flash
LMArena Vision: English1295Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: Chinese1357Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: reading text1312Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: humor1289Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: creative writing1278Not measuredOnly Gemini 3.6 Flash measured
LMArena Document1456Not measuredOnly Gemini 3.6 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 3.6 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 3.6 FlashQwen2.5 Coder 32B InstructLeader
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 3.6 Flash$0.0026Fits in one request
Qwen2.5 Coder 32B Instruct$0.0012Fits in one request

Qwen2.5 Coder 32B Instruct costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
Qwen2.5 Coder 32B Instruct$0.036Exceeds the context window

Qwen2.5 Coder 32B Instruct costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
Qwen2.5 Coder 32B Instruct$0.142Exceeds the context window

Qwen2.5 Coder 32B Instruct 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 3.6 Flash and Qwen2.5 Coder 32B Instruct
SpecificationGoogle Gemini 3.6 FlashQwen2.5 Coder 32B Instruct
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026November 11, 2024
Context window1.05M33K
Input $/Mtok$0.75$0.66
Output $/Mtok$3.75$1.00
Coding index48.330.5
Independent measurements behind it12
Cost per solved task$1.49Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Qwen2.5 Coder 32B Instruct for coding?

Pick Gemini 3.6 Flash for coding: it scores 48.3 on the Vibe Coding Index against 30.5 for Qwen2.5 Coder 32B Instruct, though on 1 benchmark against 2. Pick Qwen2.5 Coder 32B Instruct when output tokens cost 3.8x less.

Which is cheaper, Gemini 3.6 Flash or Qwen2.5 Coder 32B Instruct?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Qwen2.5 Coder 32B Instruct costs $0.66 and $1.00. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, Gemini 3.6 Flash or Qwen2.5 Coder 32B Instruct?

Gemini 3.6 Flash, with 1.05M tokens against 33K.

How many benchmarks is the Gemini 3.6 Flash vs Qwen2.5 Coder 32B Instruct comparison based on?

26 benchmarks have a result for both models as of October 21, 2026. Gemini 3.6 Flash's coding index rests on 1 independent benchmark and Qwen2.5 Coder 32B Instruct's on 2. Where only one model has a result, the page says so instead of naming a winner.

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