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Gemini 2.5 Pro Preview 06-05 vs Qwen3 32B

Qwen3 32B costs 25.0x less per output token than Gemini 2.5 Pro Preview 06-05 ($0.40 vs $10.00 per million). Updated October 22, 2026; 7 benchmarks have a result for both.

Gemini 2.5 Pro Preview 06-05Google
Coding
No data
Overall
No data
Output $/M
$10.00
7
Qwen3 32BQwen
Coding
No data
Overall
40.8
Output $/M
$0.40
0
vs boards won of 7 shared

Gemini 2.5 Pro Preview 06-05 or Qwen3 32B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 131K tokens).

Shared results
7
Gemini 2.5 Pro Preview 06-05 only
8
Qwen3 32B only
38
Like-for-like categories
4 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 2.5 Pro Preview 06-05 not benchmarked, Qwen3 32B not benchmarked.
Widest category
Coding, 33.1 points apart on average over 2 shared benchmarks.
Widest single gap
Aider polyglot: Gemini 2.5 Pro Preview 06-05 83.1% against Qwen3 32B 40.0%, 43.1 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro Preview 06-05 $10.00 against Qwen3 32B $0.40 per million output tokens, 25.0x apart.
Context window
Gemini 2.5 Pro Preview 06-05 takes 1.05M tokens, Qwen3 32B 131K.

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 Pro Preview 06-05BarsQwen3 32BTies
Coding20
Reasoning30
Knowledge10
General10
All shared boards70
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 32B
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 32BLeader
Aider polyglot83.1%40.0%Gemini 2.5 Pro Preview 06-05
LiveCodeBench (Vals AI)79.2%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Artificial Analysis run)77.8%54.6%Gemini 2.5 Pro Preview 06-05
SciCodeNot measured36.0%Only Qwen3 32B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.0%Only Qwen3 32B measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: codingNot measured1357Only Qwen3 32B measured
LMArena Text: software and ITNot measured1366Only Qwen3 32B measured
SciCode7.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 32B
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 32BLeader
AA Intelligence IndexNot measured7.3Only Qwen3 32B measured
Epoch Capabilities IndexNot measured138.4Only Qwen3 32B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 32B
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 32BLeader
τ²-Bench TelecomNot measured29.8%Only Qwen3 32B measured
METR time horizons55.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Remote Labor Index0.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
DeepResearch Bench42.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured48.7%Only Qwen3 32B measured
BrowseComp-PlusNot measured10.7%Only Qwen3 32B measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 32B
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 32BLeader
GPQA Diamond (Artificial Analysis run)83.6%66.8%Gemini 2.5 Pro Preview 06-05
Humanity's Last Exam (Artificial Analysis run)19.9%7.4%Gemini 2.5 Pro Preview 06-05
GPQA Diamond (Epoch AI run)84.8%65.7%Gemini 2.5 Pro Preview 06-05
SimpleBench62.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: hard promptsNot measured1334Only Qwen3 32B measured
LMArena Text: expertNot measured1362Only Qwen3 32B measured
LMArena Text: hard prompts in EnglishNot measured1350Only Qwen3 32B measured
Kagi LLM BenchmarkNot measured48.7%Only Qwen3 32B measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 32B
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 32BLeader
AA Math IndexNot measured73.0Only Qwen3 32B measured
AIME 2025 (Artificial Analysis run)Not measured73.0%Only Qwen3 32B measured
OTIS Mock AIMENot measured66.9%Only Qwen3 32B measured
LMArena Text: mathNot measured1399Only Qwen3 32B measured
LMArena Text: mathematical workNot measured1420Only Qwen3 32B measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 32B
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 32BLeader
MMLU Pro (Artificial Analysis run)85.8%79.8%Gemini 2.5 Pro Preview 06-05
LMArena Text: scienceNot measured1372Only Qwen3 32B measured
LMArena Text: medicine and healthcareNot measured1368Only Qwen3 32B measured
LMArena Text: legal and governmentNot measured1324Only Qwen3 32B measured
LMArena Text: business and financeNot measured1318Only Qwen3 32B measured
Neither model has a result on the other 13 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 32B
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 32BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 32B
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 32BLeader
IFBenchNot measured36.3%Only Qwen3 32B measured
Long context reasoning (AA-LCR)Not measured0.0%Only Qwen3 32B measured
DTBenchNot measured67.5%Only Qwen3 32B measured
LMCANot measured17.3%Only Qwen3 32B measured
Fiction.LiveBench91.7%74.2%Gemini 2.5 Pro Preview 06-05
LMArena TextNot measured1340Only Qwen3 32B measured
LMArena Text: instruction followingNot measured1305Only Qwen3 32B measured
LMArena Text: creative writingNot measured1297Only Qwen3 32B measured
LMArena Text: EnglishNot measured1359Only Qwen3 32B measured
LMArena Text: non-EnglishNot measured1317Only Qwen3 32B measured
LMArena Text: ChineseNot measured1357Only Qwen3 32B measured
LMArena Text: GermanNot measured1341Only Qwen3 32B measured
LMArena Text: RussianNot measured1311Only Qwen3 32B measured
LMArena Text: multi-turnNot measured1331Only Qwen3 32B measured
LMArena Text: longer queriesNot measured1327Only Qwen3 32B measured
LMArena Text: writing and languageNot measured1298Only Qwen3 32B measured
LMArena Text: entertainment and mediaNot measured1279Only Qwen3 32B measured
Neither model has a result on the other 29 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 Preview 06-05 and Qwen3 32B
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 32BLeader
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 Preview 06-05$0.0063Fits in one request
Qwen3 32B$0.0003Fits in one request

Qwen3 32B costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro Preview 06-05$0.092Fits in one request
Qwen3 32B$0.0082Fits in one request

Qwen3 32B costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro Preview 06-05$0.350Fits in one request
Qwen3 32B$0.032Exceeds the context window

Qwen3 32B 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 Preview 06-05 and Qwen3 32B
SpecificationGoogle Gemini 2.5 Pro Preview 06-05Qwen3 32B
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJune 5, 2025April 28, 2025
Context window1.05M131K
Input $/Mtok$1.25$0.14
Output $/Mtok$10.00$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 better than Qwen3 32B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 131K tokens).

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Qwen3 32B?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3 32B costs $0.14 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or Qwen3 32B?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs Qwen3 32B comparison based on?

7 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro Preview 06-05's coding index rests on 0 independent benchmarks and Qwen3 32B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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