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Gemini 2.5 Flash vs Qwen2.5 Coder 32B Instruct

Updated October 21, 2026. 29 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 FlashGoogle
Coding
28.7
Overall
15.5
Output $/M
$2.50
28
Qwen2.5 Coder 32B InstructQwen
Coding
30.5
Overall
6.7
Output $/M
$1.00
1
vs boards won of 29 shared

Decision reading

Gemini 2.5 Flash and Qwen2.5 Coder 32B Instruct are level for coding, 28.7 against 30.5 on the Vibe Coding Index, so price and context decide.

Pick Gemini 2.5 Flash when the context window is larger, 1.05M against 33K tokens, or when what matters is LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads. Pick Qwen2.5 Coder 32B Instruct when output tokens cost 2.5x less, or when the benchmark that matters is SWE-bench Verified, where it leads.

Shared results
29
Gemini 2.5 Flash only
40
Qwen2.5 Coder 32B Instruct only
6
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 2.5 Flash 28.7 from 1 benchmark, Qwen2.5 Coder 32B Instruct 30.5 from 2 benchmarks.
Widest category
General, 33.3 points apart on average over 11 shared benchmarks.
Widest single gap
LMArena Text: entertainment and media: Gemini 2.5 Flash 1393 against Qwen2.5 Coder 32B Instruct 1150, 40.5 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against Qwen2.5 Coder 32B Instruct $1.00 per million output tokens, 2.5x apart.
Context window
Gemini 2.5 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 2.5 FlashBarsQwen2.5 Coder 32B InstructTies
Coding31
Intelligence20
Reasoning50
Math20
Knowledge50
General110
All shared boards281
CodingLike-for-likeFour of these boards feed the Vibe Coding Index31
Coding benchmarks for Gemini 2.5 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 Coder 32B InstructLeader
Aider polyglotNot measured16.4%Only Qwen2.5 Coder 32B Instruct measured
SWE-bench Verified28.7%47.0%Qwen2.5 Coder 32B Instruct
LiveCodeBench (Artificial Analysis run)69.5%29.5%Gemini 2.5 Flash
Terminal-Bench Hard (Artificial Analysis run)13.6%Not measuredOnly Gemini 2.5 Flash measured
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: coding14231276Gemini 2.5 Flash
LMArena Text: software and IT14251261Gemini 2.5 Flash
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 2.5 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 Coder 32B InstructLeader
AA Intelligence Index15.56.7Gemini 2.5 Flash
Epoch Capabilities Index142.9119.5Gemini 2.5 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Gemini 2.5 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 Coder 32B InstructLeader
τ²-Bench Telecom31.6%Not measuredOnly Gemini 2.5 Flash measured
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Gemini 2.5 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 Coder 32B InstructLeader
GPQA Diamond (Artificial Analysis run)79.0%41.7%Gemini 2.5 Flash
Humanity's Last Exam (Artificial Analysis run)12.1%3.5%Gemini 2.5 Flash
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts14221251Gemini 2.5 Flash
LMArena Text: expert14261221Gemini 2.5 Flash
LMArena Text: hard prompts in English14201269Gemini 2.5 Flash
LMArena Vision: diagrams1245Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: homework1244Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 2.5 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 Coder 32B InstructLeader
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
GSM8KNot measured93.0%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text: math14111251Gemini 2.5 Flash
LMArena Text: mathematical work14221243Gemini 2.5 Flash
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 2.5 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 Coder 32B InstructLeader
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%63.5%Gemini 2.5 Flash
MMLUNot measured79.1%Only Qwen2.5 Coder 32B Instruct measured
AI2 Reasoning ChallengeNot measured70.5%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text: science14331221Gemini 2.5 Flash
LMArena Text: medicine and healthcare14281187Gemini 2.5 Flash
LMArena Text: legal and government14301257Gemini 2.5 Flash
LMArena Text: business and finance14041224Gemini 2.5 Flash
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemini 2.5 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 Coder 32B InstructLeader
Design Arena: websites1074Not measuredOnly Gemini 2.5 Flash measured
Design Arena: UI components1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: game dev1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: data viz1060Not measuredOnly Gemini 2.5 Flash measured
Design Arena: 3D1021Not measuredOnly Gemini 2.5 Flash measured
Design Arena: all code categories1059Not measuredOnly Gemini 2.5 Flash measured
Design Arena: SVG1018Not measuredOnly Gemini 2.5 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 2.5 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 Coder 32B InstructLeader
SAGE (Vals AI)44.8%Not measuredOnly Gemini 2.5 Flash measured
MedScribe (Vals AI)83.0%Not measuredOnly Gemini 2.5 Flash measured
IFBench50.3%Not measuredOnly Gemini 2.5 Flash measured
Long context reasoning (AA-LCR)65.3%Not measuredOnly Gemini 2.5 Flash measured
DTBench76.5%Not measuredOnly Gemini 2.5 Flash measured
LMCA27.5%Not measuredOnly Gemini 2.5 Flash measured
HellaSwagNot measured83.0%Only Qwen2.5 Coder 32B Instruct measured
WinoGrandeNot measured80.8%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text14171230Gemini 2.5 Flash
LMArena Text: instruction following14051223Gemini 2.5 Flash
LMArena Text: creative writing14001174Gemini 2.5 Flash
LMArena Vision1235Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: English14181248Gemini 2.5 Flash
LMArena Text: non-English14091205Gemini 2.5 Flash
LMArena Text: Chinese14491222Gemini 2.5 Flash
LMArena Text: German1417Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Japanese1396Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Korean1385Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: French1432Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Spanish1422Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Russian14151228Gemini 2.5 Flash
LMArena Text: Polish1413Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: multi-turn14081222Gemini 2.5 Flash
LMArena Text: longer queries14191251Gemini 2.5 Flash
LMArena Text: writing and language14051191Gemini 2.5 Flash
LMArena Text: entertainment and media13931150Gemini 2.5 Flash
LMArena Vision: English1239Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: Chinese1284Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: reading text1237Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: humor1225Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: captioning1277Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: recognizing things1252Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: creative writing1241Not measuredOnly Gemini 2.5 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 2.5 Flash and Qwen2.5 Coder 32B Instruct
BenchmarkGemini 2.5 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 2.5 Flash$0.0015Fits 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 2.5 Flash$0.022Fits in one request
Qwen2.5 Coder 32B Instruct$0.036Exceeds the context window

Gemini 2.5 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
Qwen2.5 Coder 32B Instruct$0.142Exceeds the context window

Gemini 2.5 Flash 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 Flash and Qwen2.5 Coder 32B Instruct
SpecificationGoogle Gemini 2.5 FlashQwen2.5 Coder 32B Instruct
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025November 11, 2024
Context window1.05M33K
Input $/Mtok$0.30$0.66
Output $/Mtok$2.50$1.00
Coding index28.730.5
Independent measurements behind it12
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than Qwen2.5 Coder 32B Instruct for coding?

Gemini 2.5 Flash and Qwen2.5 Coder 32B Instruct are level for coding, 28.7 against 30.5 on the Vibe Coding Index, so price and context decide. Pick Gemini 2.5 Flash when the context window is larger, 1.05M against 33K tokens, or when what matters is LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads. Pick Qwen2.5 Coder 32B Instruct when output tokens cost 2.5x less, or when the benchmark that matters is SWE-bench Verified, where it leads.

Which is cheaper, Gemini 2.5 Flash or Qwen2.5 Coder 32B Instruct?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Qwen2.5 Coder 32B Instruct costs $0.66 and $1.00. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or Qwen2.5 Coder 32B Instruct?

Gemini 2.5 Flash, with 1.05M tokens against 33K.

How many benchmarks is the Gemini 2.5 Flash vs Qwen2.5 Coder 32B Instruct comparison based on?

29 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 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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