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Gemini 2.5 Pro vs gpt-oss-20b

Gemini 2.5 Pro leads gpt-oss-20b on the Artificial Analysis Intelligence Index, 16.1 to 10.0, and gpt-oss-20b costs 66.7x less per output token ($0.15 vs $10.00 per million). Updated October 21, 2026; 52 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace gpt-oss-20b
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
47
gpt-oss-20bOpenAI
Coding
No data
Overall
38.5
Output $/M
$0.15
5
vs boards won of 52 shared

Gemini 2.5 Pro or gpt-oss-20b: which to pick

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; gpt-oss-20b has none, so the two cannot be ranked on coding.

Pick gpt-oss-20b for output tokens 66.7x cheaper ($0.15 vs $10.00 per million) and work measured by τ²-Bench Telecom or BrowseComp-Plus, where it leads.

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel Bgpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
52
Gemini 2.5 Pro only
38
gpt-oss-20b only
10
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, gpt-oss-20b not benchmarked.
Widest category
Web design, 37.7 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: creative writing: Gemini 2.5 Pro 1454 against gpt-oss-20b 1201, 42.1 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against gpt-oss-20b $0.15 per million output tokens, 66.7x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, gpt-oss-20b 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 ProBarsgpt-oss-20bTies
Coding70
Intelligence20
Agentic work02
Reasoning70
Math32
Knowledge70
Web design20
General191
All shared boards475
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Gemini 2.5 Pro and gpt-oss-20b
BenchmarkGemini 2.5 Progpt-oss-20bLeader
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
LiveCodeBench (Vals AI)Not measured80.4%Only gpt-oss-20b 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%77.7%Gemini 2.5 Pro
SciCode46.3%38.9%Gemini 2.5 Pro
Terminal-Bench Hard (Artificial Analysis run)26.5%10.6%Gemini 2.5 Pro
Terminal-Bench32.6%3.4%Gemini 2.5 Pro
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%40.9%Gemini 2.5 Pro
ALE-BenchNot measured566.0Only gpt-oss-20b measured
LMArena Text: coding14521307Gemini 2.5 Pro
LMArena Text: software and IT14591311Gemini 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 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 2.5 Pro and gpt-oss-20b
BenchmarkGemini 2.5 Progpt-oss-20bLeader
AA Intelligence Index16.110.0Gemini 2.5 Pro
Epoch Capabilities Index145.1137.7Gemini 2.5 Pro
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 2.5 Pro and gpt-oss-20b
BenchmarkGemini 2.5 Progpt-oss-20bLeader
AA Agentic Index1.6Not measuredOnly Gemini 2.5 Pro measured
τ²-Bench Telecom54.1%60.2%gpt-oss-20b
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%50.6%gpt-oss-20b
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Gemini 2.5 Pro and gpt-oss-20b
BenchmarkGemini 2.5 Progpt-oss-20bLeader
GPQA DiamondNot measured68.9%Only gpt-oss-20b measured
GPQA Diamond (Artificial Analysis run)84.4%68.8%Gemini 2.5 Pro
Humanity's Last Exam (Artificial Analysis run)22.5%11.0%Gemini 2.5 Pro
GPQA Diamond (Epoch AI run)85.3%60.8%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 prompts14551274Gemini 2.5 Pro
LMArena Text: expert14521258Gemini 2.5 Pro
LMArena Text: hard prompts in English14531292Gemini 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%53.2%Gemini 2.5 Pro
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index32
Math benchmarks for Gemini 2.5 Pro and gpt-oss-20b
BenchmarkGemini 2.5 Progpt-oss-20bLeader
AIMENot measured86.0%Only gpt-oss-20b measured
MATH 500 (Vals AI)Not measured94.2%Only gpt-oss-20b measured
MGSM (Vals AI)Not measured89.0%Only gpt-oss-20b measured
AA Math Index87.789.3gpt-oss-20b
AIME 2025 (Artificial Analysis run)87.7%89.3%gpt-oss-20b
OTIS Mock AIME84.7%65.3%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: math14501317Gemini 2.5 Pro
LMArena Text: mathematical work14541305Gemini 2.5 Pro
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for Gemini 2.5 Pro and gpt-oss-20b
BenchmarkGemini 2.5 Progpt-oss-20bLeader
MMLU ProNot measured71.6%Only gpt-oss-20b measured
LegalBench (Vals AI)Not measured70.8%Only gpt-oss-20b measured
CaseLaw (Vals AI)63.9%43.8%Gemini 2.5 Pro
CorpFin (Vals AI)60.8%53.1%Gemini 2.5 Pro
TaxEval (Vals AI)Not measured63.7%Only gpt-oss-20b measured
MortgageTax (Vals AI)68.9%Not measuredOnly Gemini 2.5 Pro measured
MedQA (Vals AI)Not measured82.9%Only gpt-oss-20b measured
MedCode (Vals AI)50.6%Not measuredOnly Gemini 2.5 Pro measured
MMLU Pro (Artificial Analysis run)86.2%74.8%Gemini 2.5 Pro
LMArena Text: science14801296Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761310Gemini 2.5 Pro
LMArena Text: legal and government14801280Gemini 2.5 Pro
LMArena Text: business and finance14391284Gemini 2.5 Pro
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index20
Web design benchmarks for Gemini 2.5 Pro and gpt-oss-20b
BenchmarkGemini 2.5 Progpt-oss-20bLeader
Design Arena: websites1167852Gemini 2.5 Pro
Design Arena: UI components1140Not measuredOnly Gemini 2.5 Pro measured
Design Arena: game dev1111Not measuredOnly Gemini 2.5 Pro measured
Design Arena: data viz1221933Gemini 2.5 Pro
Design Arena: 3D1081Not measuredOnly Gemini 2.5 Pro measured
Design Arena: all code categories1152Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
General benchmarks for Gemini 2.5 Pro and gpt-oss-20b
BenchmarkGemini 2.5 Progpt-oss-20bLeader
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%65.1%gpt-oss-20b
Long context reasoning (AA-LCR)69.0%34.7%Gemini 2.5 Pro
DTBench82.4%68.0%Gemini 2.5 Pro
LMCA34.8%14.5%Gemini 2.5 Pro
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text14581288Gemini 2.5 Pro
LMArena Text: instruction following14371236Gemini 2.5 Pro
LMArena Text: creative writing14541201Gemini 2.5 Pro
LMArena Vision1263Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: English14581303Gemini 2.5 Pro
LMArena Text: non-English14521269Gemini 2.5 Pro
LMArena Text: Chinese15071315Gemini 2.5 Pro
LMArena Text: German14871255Gemini 2.5 Pro
LMArena Text: Japanese14611244Gemini 2.5 Pro
LMArena Text: Korean14341236Gemini 2.5 Pro
LMArena Text: French1473Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Spanish14741267Gemini 2.5 Pro
LMArena Text: Russian14611278Gemini 2.5 Pro
LMArena Text: Polish14791252Gemini 2.5 Pro
LMArena Text: multi-turn14531268Gemini 2.5 Pro
LMArena Text: longer queries14491250Gemini 2.5 Pro
LMArena Text: writing and language14541238Gemini 2.5 Pro
LMArena Text: entertainment and media14411216Gemini 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 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 Pro and gpt-oss-20b
BenchmarkGemini 2.5 Progpt-oss-20bLeader
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
gpt-oss-20b$0.0001Fits in one request

gpt-oss-20b costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
gpt-oss-20b$0.0019Fits in one request

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
gpt-oss-20b$0.0075Exceeds the context window

gpt-oss-20b 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 gpt-oss-20b
SpecificationGoogle Gemini 2.5 ProOpenAI gpt-oss-20b
MakerGoogleOpenAI
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025August 5, 2025
Context window1.05M131K
Input $/Mtok$1.25$0.03
Output $/Mtok$10.00$0.15
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 gpt-oss-20b for coding?

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; gpt-oss-20b has none, so the two cannot be ranked on coding. Pick gpt-oss-20b for output tokens 66.7x cheaper ($0.15 vs $10.00 per million) and work measured by τ²-Bench Telecom or BrowseComp-Plus, where it leads.

Which is cheaper, Gemini 2.5 Pro or gpt-oss-20b?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; gpt-oss-20b costs $0.03 and $0.15. Cost per solved task is known for Gemini 2.5 Pro only.

Which has the bigger context window, Gemini 2.5 Pro or gpt-oss-20b?

Gemini 2.5 Pro, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 2.5 Pro vs gpt-oss-20b comparison based on?

52 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and gpt-oss-20b's on 0. Where only one model has a result, the page says so instead of naming a winner.

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