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Gemini 2.5 Pro vs Qwen3 30B A3B

Gemini 2.5 Pro leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 16.1 to 7.6, and Qwen3 30B A3B costs 20.0x less per output token ($0.50 vs $10.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace Qwen3 30B A3B
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
51
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
0
vs boards won of 51 shared

Gemini 2.5 Pro or Qwen3 30B A3B: which to pick

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding.

Pick Qwen3 30B A3B for output tokens 20.0x cheaper ($0.50 vs $10.00 per million).

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BQwen3 30B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
51
Gemini 2.5 Pro only
39
Qwen3 30B A3B only
1
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 2.5 Pro 19.1 from 3 benchmarks, Qwen3 30B A3B not benchmarked.
Widest category
Agentic work, 28.1 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Gemini 2.5 Pro 69.0% against Qwen3 30B A3B 0.0%, 69.0 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Qwen3 30B A3B $0.50 per million output tokens, 20.0x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, Qwen3 30B A3B 41K.

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 ProBarsQwen3 30B A3BTies
Coding50
Intelligence20
Agentic work10
Reasoning60
Math50
Knowledge50
Web design50
General220
All shared boards510
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Gemini 2.5 Pro and Qwen3 30B A3B
BenchmarkGemini 2.5 ProQwen3 30B A3BLeader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev1226Not measuredOnly Gemini 2.5 Pro measured
AA Coding Index33.3Not measuredOnly Gemini 2.5 Pro measured
SWE-bench Verified (Vals AI)54.4%Not measuredOnly Gemini 2.5 Pro measured
Vibe Code Bench (Vals AI)0.4%Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Artificial Analysis run)80.1%50.6%Gemini 2.5 Pro
SciCode46.3%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench Hard (Artificial Analysis run)26.5%6.8%Gemini 2.5 Pro
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%29.8%Gemini 2.5 Pro
LMArena Text: coding14521337Gemini 2.5 Pro
LMArena Text: software and IT14591340Gemini 2.5 Pro
LMArena WebDev: HTML1235Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 2.5 Pro and Qwen3 30B A3B
BenchmarkGemini 2.5 ProQwen3 30B A3BLeader
AA Intelligence Index16.17.6Gemini 2.5 Pro
Epoch Capabilities Index145.1137.3Gemini 2.5 Pro
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 2.5 Pro and Qwen3 30B A3B
BenchmarkGemini 2.5 ProQwen3 30B A3BLeader
AA Agentic Index1.6Not measuredOnly Gemini 2.5 Pro measured
τ²-Bench Telecom54.1%26.0%Gemini 2.5 Pro
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574Not measuredOnly Gemini 2.5 Pro measured
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Gemini 2.5 Pro and Qwen3 30B A3B
BenchmarkGemini 2.5 ProQwen3 30B A3BLeader
GPQA Diamond (Artificial Analysis run)84.4%61.6%Gemini 2.5 Pro
Humanity's Last Exam (Artificial Analysis run)22.5%6.2%Gemini 2.5 Pro
GPQA Diamond (Epoch AI run)85.3%61.7%Gemini 2.5 Pro
ARC-AGI41.0%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI-24.9%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: hard prompts14551314Gemini 2.5 Pro
LMArena Text: expert14521314Gemini 2.5 Pro
LMArena Text: hard prompts in English14531329Gemini 2.5 Pro
LMArena Vision: diagrams1274Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: homework1281Not measuredOnly Gemini 2.5 Pro measured
Kagi LLM Benchmark70.3%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Gemini 2.5 Pro and Qwen3 30B A3B
BenchmarkGemini 2.5 ProQwen3 30B A3BLeader
AA Math Index87.772.3Gemini 2.5 Pro
AIME 2025 (Artificial Analysis run)87.7%72.3%Gemini 2.5 Pro
OTIS Mock AIME84.7%62.8%Gemini 2.5 Pro
FrontierMath, tiers 1 to 324.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: math14501355Gemini 2.5 Pro
LMArena Text: mathematical work14541363Gemini 2.5 Pro
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 2.5 Pro and Qwen3 30B A3B
BenchmarkGemini 2.5 ProQwen3 30B A3BLeader
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%Not measuredOnly Gemini 2.5 Pro measured
MortgageTax (Vals AI)68.9%Not measuredOnly Gemini 2.5 Pro measured
MedCode (Vals AI)50.6%Not measuredOnly Gemini 2.5 Pro measured
MMLU Pro (Artificial Analysis run)86.2%77.7%Gemini 2.5 Pro
LMArena Text: science14801321Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761318Gemini 2.5 Pro
LMArena Text: legal and government14801314Gemini 2.5 Pro
LMArena Text: business and finance14391309Gemini 2.5 Pro
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Gemini 2.5 Pro and Qwen3 30B A3B
BenchmarkGemini 2.5 ProQwen3 30B A3BLeader
Design Arena: websites1167954Gemini 2.5 Pro
Design Arena: UI components1137943Gemini 2.5 Pro
Design Arena: game dev1111898Gemini 2.5 Pro
Design Arena: data viz1222967Gemini 2.5 Pro
Design Arena: 3D1080Not measuredOnly Gemini 2.5 Pro measured
Design Arena: all code categories1152941Gemini 2.5 Pro
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
General benchmarks for Gemini 2.5 Pro and Qwen3 30B A3B
BenchmarkGemini 2.5 ProQwen3 30B A3BLeader
SAGE (Vals AI)41.9%Not measuredOnly Gemini 2.5 Pro measured
MedScribe (Vals AI)73.5%Not measuredOnly Gemini 2.5 Pro measured
IFBench48.7%41.5%Gemini 2.5 Pro
Long context reasoning (AA-LCR)69.0%0.0%Gemini 2.5 Pro
DTBench82.4%60.3%Gemini 2.5 Pro
LMCA34.8%15.8%Gemini 2.5 Pro
Fiction.LiveBenchNot measured40.6%Only Qwen3 30B A3B measured
Creative writing (Lech Mazur)83.8%75.3%Gemini 2.5 Pro
LMArena Text14581317Gemini 2.5 Pro
LMArena Text: instruction following14371283Gemini 2.5 Pro
LMArena Text: creative writing14541271Gemini 2.5 Pro
LMArena Vision1263Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: English14581335Gemini 2.5 Pro
LMArena Text: non-English14521295Gemini 2.5 Pro
LMArena Text: Chinese15071347Gemini 2.5 Pro
LMArena Text: German14871307Gemini 2.5 Pro
LMArena Text: Japanese14611254Gemini 2.5 Pro
LMArena Text: Korean14341261Gemini 2.5 Pro
LMArena Text: French14731352Gemini 2.5 Pro
LMArena Text: Spanish14741317Gemini 2.5 Pro
LMArena Text: Russian14611291Gemini 2.5 Pro
LMArena Text: Polish14791299Gemini 2.5 Pro
LMArena Text: multi-turn14531307Gemini 2.5 Pro
LMArena Text: longer queries14491312Gemini 2.5 Pro
LMArena Text: writing and language14541290Gemini 2.5 Pro
LMArena Text: entertainment and media14411258Gemini 2.5 Pro
LMArena Vision: English1261Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: Chinese1300Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: reading text1270Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: humor1262Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing1265Not measuredOnly Gemini 2.5 Pro measured
LMArena Document1421Not measuredOnly Gemini 2.5 Pro 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 2.5 Pro and Qwen3 30B A3B
BenchmarkGemini 2.5 ProQwen3 30B A3BLeader
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$0.0063Fits in one request
Qwen3 30B A3B$0.0004Fits in one request

Qwen3 30B A3B costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Qwen3 30B A3B$0.0075Exceeds the context window

Qwen3 30B A3B costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Qwen3 30B A3B$0.029Exceeds the context window

Qwen3 30B A3B 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 and Qwen3 30B A3B
SpecificationGoogle Gemini 2.5 ProQwen3 30B A3B
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025April 28, 2025
Context window1.05M41K
Input $/Mtok$1.25$0.12
Output $/Mtok$10.00$0.50
Coding index19.1Not benchmarked
Independent measurements behind it30
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Qwen3 30B A3B for coding?

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding. Pick Qwen3 30B A3B for output tokens 20.0x cheaper ($0.50 vs $10.00 per million).

Which is cheaper, Gemini 2.5 Pro or Qwen3 30B A3B?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for Gemini 2.5 Pro only.

Which has the bigger context window, Gemini 2.5 Pro or Qwen3 30B A3B?

Gemini 2.5 Pro, with 1.05M tokens against 41K.

How many benchmarks is the Gemini 2.5 Pro vs Qwen3 30B A3B comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and Qwen3 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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